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KadNap Malware Compromises Over 14,000 Edge Devices to Operate Hidden Proxy Botnet

 


Cybersecurity researchers have identified a previously undocumented malware strain called KadNap that is primarily infecting Asus routers and other internet-facing networking devices. The attackers are using these compromised systems to form a botnet that routes malicious traffic through residential connections, effectively turning infected hardware into anonymous proxy nodes.

The threat was first observed in real-world attacks in August 2025. Since that time, the number of affected devices has grown to more than 14,000, according to investigators at Black Lotus Labs. A large share of infections, exceeding 60 percent, has been detected within the United States. Smaller groups of compromised devices have also been identified across Taiwan, Hong Kong, Russia, the United Kingdom, Australia, Brazil, France, Italy, and Spain.

Researchers report that the malware uses a modified version of the Kademlia Distributed Hash Table (DHT) protocol. This peer-to-peer networking technology enables the attackers to conceal the true location of their infrastructure by distributing communication across multiple nodes. By embedding command traffic inside decentralized peer-to-peer activity, the operators can evade traditional network monitoring systems that rely on detecting centralized servers.

Within this architecture, infected devices communicate with one another using the DHT network to discover and establish connections with command-and-control servers. This design improves the botnet’s resilience, as it reduces the chances that defenders can disable operations by shutting down a single control point.

Once a router or other edge device has been compromised, the system can be sold or rented through a proxy platform known as Doppelgänger. Investigators believe this service is a rebranded version of another proxy operation called Faceless, which previously had links to TheMoon router malware. According to information published on the Doppelgänger website, the service launched around May or June 2025 and advertises access to residential proxy connections in more than 50 countries, promoting what it claims is complete anonymity for users.

Although many of the observed infections involve Asus routers, researchers found that the malware operators are also capable of targeting a wider range of edge networking equipment.

The attack chain begins with the download of a shell script named aic.sh, retrieved from a command server located at 212.104.141[.]140. This script initiates the infection process by connecting the compromised device to the botnet’s peer-to-peer network.

To ensure the malware remains active, the script establishes persistence by creating a cron task that downloads the same script again at the 55-minute mark of every hour. During this process, the file is renamed “.asusrouter” and executed automatically.

After persistence is secured, the script downloads an ELF executable, renames it “kad,” and runs it on the device. This program installs the KadNap malware itself. The malware is capable of operating on hardware that uses ARM and MIPS processor architectures, which are commonly found in routers and networking appliances.

KadNap also contacts a Network Time Protocol (NTP) server to retrieve the current system time and store it along with the device’s uptime. These values are combined to produce a hash that allows the malware to identify and connect with other peers within the decentralized network, enabling it to receive commands or download additional components.

Two additional files used during the infection process, fwr.sh and /tmp/.sose, contain instructions that close port 22, which is the default port used by Secure Shell (SSH). These files also extract lists of command server addresses in IP-address-and-port format, which the malware uses to establish communication with control infrastructure.

According to researchers, the use of the DHT protocol provides the botnet with durable communication channels that are difficult to shut down because its traffic blends with legitimate peer-to-peer network activity.

Further examination revealed that not every infected device communicates with every command server. This suggests the attackers are segmenting their infrastructure, possibly grouping devices based on hardware type or model.

Investigators also noted that routers infected with KadNap may sometimes contain multiple malware infections simultaneously. Because of this overlap, it can be challenging to determine which threat actor is responsible for particular malicious activity originating from those systems.

Security experts recommend that individuals and organizations operating small-office or home-office (SOHO) routers take several precautions. These include installing firmware updates, restarting devices periodically, replacing default administrator credentials, restricting management access, and replacing routers that have reached end-of-life status and no longer receive security patches.

Researchers concluded that KadNap’s reliance on a peer-to-peer command structure distinguishes it from many other proxy-based botnets designed to provide anonymity services. The decentralized approach allows operators to remain hidden while making it significantly harder for defenders to detect and block the network.

In a separate report, security analysts at Cyble disclosed a new Linux malware threat named ClipXDaemon.

The malware targets cryptocurrency users by intercepting wallet addresses that victims copy to their clipboard and secretly replacing them with addresses controlled by attackers. This type of threat is commonly known as clipper malware.

ClipXDaemon is distributed through a Linux post-exploitation framework called ShadowHS and has been described as an automated clipboard-hijacking tool designed specifically for systems running Linux X11 graphical environments.

The malware operates entirely in memory, which reduces traces on disk and improves its ability to remain undetected. It also employs several stealth techniques, including disguising its process names and deliberately avoiding execution in Wayland sessions.

This design choice is intentional because Wayland’s security architecture introduces stricter restrictions on clipboard access. Applications must usually involve explicit user interaction before they can read clipboard contents. By disabling itself when Wayland is detected, the malware avoids triggering errors or suspicious behavior.

Once active in an X11 session, ClipXDaemon continuously checks the system clipboard every 200 milliseconds. If it detects a copied cryptocurrency wallet address, it immediately substitutes it with an attacker-controlled address before the victim pastes the information.

The malware currently targets a wide range of digital currencies, including Bitcoin, Ethereum, Litecoin, Monero, Tron, Dogecoin, Ripple, and TON.

Researchers noted that ClipXDaemon differs significantly from traditional Linux malware families. It does not include command-and-control communication, does not send beaconing signals to remote servers, and does not rely on external instructions to operate.

Instead, the malware generates profits directly by manipulating cryptocurrency transactions in real time, silently redirecting funds when victims paste compromised wallet addresses during transfers.

Commercial Spy Trackers Breach U.S. Army Networks, Jeopardizing National Security

 

U.S. Army networks face a hidden invasion from commercial spy technology, compromising soldier data and national security in alarming ways. A groundbreaking study by the Army Cyber Institute at West Point analyzed traffic on military networks, discovering that 21.2% of the most frequently visited websites host tracker domains. These trackers relentlessly collect sensitive information like geolocation, email addresses, and detailed browsing histories from troops during routine online activities.

The infiltration stems from ubiquitous commercial tools embedded in popular sites. Companies such as Adobe, Microsoft, Akamai, and even the banned TikTok deploy these trackers, funneling harvested data to brokers who resell it without regard for buyers' intentions. This surveillance capitalism mirrors civilian web tracking but strikes deeper when targeting military personnel, turning everyday internet use into a potential intelligence leak.

Researchers from Duke University exposed the severity by purchasing dossiers on active-duty service members from data brokers with ease. They acquired names, home addresses, personal emails, and military branch details, often from non-U.S. domains, highlighting how adversaries could exploit this for blackmail, targeting installations, or cyber campaigns . One expert called the process "disturbingly simple," underscoring the broker market's indifference to national security risks.

Persistent vulnerabilities echo the 2018 Strava fitness app scandal, where heatmap data revealed covert base locations worldwide. The latest findings show trackers in 42% of network requests and 10.4% of sites, exceeding privacy safeguards on mainstream streaming platforms. Cybersecurity professor Alan Woodward of the University of Surrey warns, "If you’re not paying, you are the product," a harsh reality for soldiers navigating the open web.

The Pentagon is responding aggressively through its 2023 Cyber Strategy, implementing Zero Trust architecture, enhanced endpoint detection, and widespread tracker blocking . The National Defense Authorization Act bolsters these efforts with mandates for spyware mitigation and stricter social media vetting. The Army Cyber Institute advocates quantifying trackers and extending blocks to personal devices, elevating data privacy to a core element of force protection in the digital age.

AI Agents Boost Productivity but Introduce New Cybersecurity Risks for Organizations

 

Artificial Intelligence is rapidly evolving from a conversational tool into a system capable of performing real-world tasks independently. Known as AI Agents, these systems can carry out activities such as sending emails, transferring data, and managing software workflows without constant human supervision.

While this automation significantly improves efficiency, it also creates a new entry point for cyber threats.

AI agents can be compared to a new employee who has access to every room in a company building but lacks proper identification. Because these digital systems operate autonomously, they often hold permissions to sensitive resources and information, sometimes without sufficient monitoring.

Cybercriminals have begun exploiting this reality. Instead of attempting to steal passwords or break into systems directly, attackers may manipulate AI agents into performing malicious actions on their behalf.

Organizations that rely on AI-driven automation could therefore face new risks. Many conventional cybersecurity systems were originally designed to protect human users rather than automated digital workers, leaving a potential gap in defense.

To address these concerns, an upcoming webinar titled “Beyond the Model: The Expanded Attack Surface of AI Agents” will explore how this evolving technology is being targeted by threat actors.

During the session, Rahul Parwani, Head of Product for AI Security at Airia, will explain how attackers exploit AI agents and what organizations can do to strengthen their defenses.

What You Will Learn
  • The "Dark Matter" of Identity: Why AI agents are often invisible to your security team and how to find them.
  • How Agents Get Tricked: Learn how a simple "bad idea" hidden in a document can make an AI agent leak your company secrets.
  • The Safety Blueprint: Simple steps to give your AI agents the power they need without giving them "God Mode" over your data.
This session is aimed at business leaders, IT professionals, and anyone responsible for safeguarding corporate data. The discussion will break down complex security concepts in a way that does not require deep coding expertise.

As organizations continue adopting AI-driven automation, understanding the security implications of AI agents is becoming increasingly important. Without proper safeguards, the same tools designed to improve productivity could also become unexpected vulnerabilities.

Hackers Exploit FortiGate Devices to Hack Networks and Credentials


Exploiting network points to hack victims 

Cybersecurity experts have warned about a new campaign where hackers are exploiting FortiGate Next-Gen Firewall (NGFW) devices as entry points to hack target networks. 

The campaign involves abusing the recently revealed security flaws or weak password to take out configuration files. The activity has singled out class linked to government, healthcare, and managed service providers. 

Attack tactic 

According to experts, “FortiGate network appliances have considerable access to the environments they were installed to protect. In many configurations, this includes service accounts which are connected to the authentication infrastructure, such as Active Directory (AD) and Lightweight Directory Access Protocol (LDAP).”

"This setup can enable the appliance to map roles to specific users by fetching attributes about the connection that’s being analyzed and correlating with the Directory information, which is useful in cases where role-based policies are set or for increasing response speed for network security alerts detected by the device,” the experts added. 

Misconfigurations opening doors for hackers 

But the experts noticed that this access could be compromised by hackers who hack into FortiGate devices via flaws or misconfigurations.

In one attack, the hackers breached a FortiGate appliance last year in November to make a new local admin account “support” and built four new firewall policies that let the account to travel across all zones without any limitations. 

The hacker then routinely checked device access. “Evidence demonstrates the attacker authenticated to the AD using clear text credentials from the fortidcagent service account, suggesting the attacker decrypted the configuration file and extracted the service account credentials,” SentinelOne reported. 

How was the account used?

After this, hacker leveraged the service account to verify the target's environment and put rogue workstations in the AD for further access. Following this, network scanning started and the breach was found, and lateral movement was stopped. 

The contents of the NTDS.dit file and SYSTEM registry hive were exfiltrated to an external server ("172.67.196[.]232") over port 443 by the Java malware, which was triggered via DLL side-loading.

SentinelOne said that “While the actor may have attempted to crack passwords from the data, no such credential usage was identified between the time of credential harvesting and incident containment.”

Iran-Linked Handala Hackers Claim Breach of Israel’s Clalit Healthcare Network

 

A breach at Israel’s biggest health provider has been tied to an Iranian-affiliated hacking collective, which posted stolen patient records online. Claiming credit, a network calling itself Handala detailed the intrusion via public posts. Access reportedly reached Clalit Health Services’ core data stores. That institution cares for around fifty percent of the country’s residents. 

More than ten thousand people saw their medical files exposed, the hackers stated. Samples of what they say is real data now sit on public servers - names, test results, health scans tucked inside. Handala issued a statement saying Israel's hospital networks were left reeling after the breach, calling defenses weak and slow. What followed was not subtle: laughter at how easily systems gave way.  

Not just an attack, but positioned as resistance - this action followed claims of long-standing control and abuse. Echoing past messages, the announcement carried familiar tones seen when digital strikes hit Israeli bodies before. 

A strange post appeared online just hours before the reveal - hinting at something unfolding within Israel’s medical system. By next morning, reports confirmed a possible leak of sensitive information. Right after hearing about it, Clalit's cyber defense units started looking into what happened. Government agencies got updates right away, since detection tools kicked in under standard procedures. 

While checks are still underway, hospital networks remain stable and running without disruption. A fresh incident highlights ongoing digital operations tied to Iran, aimed at entities and people in Israel. In recent years, outfits connected to Tehran have faced claims of seeking information, interfering with key bodies, while also trying to pull in collaborators using internet exchanges along with money offers. 

Now known for bold statements, Handala has taken credit for multiple major cyber events, experts note. While Check Point Research points out that some assertions appear inflated, a few of those declarations align with verified breaches. Unexpected overlaps between claim and evidence keep scrutiny alive. 

In December, hackers revealed they had gained access to ex-Prime Minister Naftali Bennett’s Telegram messages. Confirmation came from Bennett's team - yes, the account was reached, yet his device remained untouched. 

Later, these attackers stated they went after more individuals in politics. Among them: ex-minister Ayelet Shaked and Tzachi Braverman, a close associate of Netanyahu. Earlier, Israel's medical system dealt with digital attacks. Last October, hackers targeted Assaf Harofeh Medical Center using ransomware linked to Qilin. Patient records were at risk when the criminals asked for 70,000 dollars. Threats to expose sensitive information followed if payment failed. 

Later, officials pointed to Iran’s likely involvement in that incident too - showing how digital attacks are becoming a key part of the strain between these nations.

Hackers Exploit Claude to Target Multiple Mexican Government Agencies

 


As generative artificial intelligence emerges, digital innovation is evolving at an unprecedented rate, but it is also quietly reshaping cybercrime in a subtle way. Tools originally designed for the purpose of research, coding, and problem-solving are now being explored for a variety of less benign purposes as well. 

This fact has been illustrated in a troubling fashion by recent revelations that threat actors have exploited the capabilities of Claude in order to support a large-scale intrusion targeting Mexican government networks. 

A security researcher at Gambit Security reported that attackers extracted approximately 150 gigabytes of sensitive information from multiple Mexican government agencies, demonstrating how widely accessible artificial intelligence systems can be manipulated to assist sophisticated cyber operations despite built-in safeguards despite their ease of use. 

It has been determined that the intrusion was not limited to passive reconnaissance. The attacker is believed to have used Claude throughout the campaign as an interactive tool for research and development. 

Gambit Security has released an analysis that indicates that the activity began in December, and continued for approximately a month, during which the chatbot was repeatedly instructed to identify potential vulnerabilities within government networks and to create scripts for exploiting those vulnerabilities. 

Using the same AI model, methods were also outlined for automating sensitive information extraction, effectively turning the model into an assistant for data extraction. In a series of carefully structured prompts, the operator gradually weakened the built-in safeguards of the model, thereby manipulating it slowly. 

There have been reports that the system has rejected initial requests, but subsequent iterations seem to have bypassed the platform's guardrails and generated increasingly more actionable material. The extent of the assistance presented by the model raised particular concerns among analysts. 

According to Curtis Simpson, the system produced thousands of analytical outputs which detailed potential attack paths, internal network targets, and credential-related strategies, thereby providing guidance on how to proceed within compromised environments. These outputs were more structured operational guidance for the campaign's human operator than casual responses. 

According to Anthropic, an internal investigation had been initiated following the disclosure and that the activity had been disrupted and the accounts associated with the misuse were permanently banned. According to a company representative, safeguards are continuing to develop. 

For example, the Claude Opus 4.6 model incorporates additional mechanisms to detect and block similar forms of abuse in the latest iteration. In the time of publishing, it had not been officially determined that the individuals responsible for the intrusion were part of any advanced persistent threat group that had been publicly identified.

Nonetheless, analysts examining the operation noted several similarities with tactics historically associated with espionage campaigns involving Chinese actors. As a result of intelligence gathered by Gambit Security and corroborated by SecurityAffairs, the tradecraft demonstrated in the operation - particularly disciplined operational security and systematic reconnaissance - appears to resemble patterns previously observed in state-aligned cyber espionage. 

A separate disclosure from Anthropic confirmed that state-sponsored actors have misused its AI programming tools to benefit dozens of organizations worldwide. It has been determined that investigators at this incident heavily relied on artificial intelligence-assisted workflows to accelerate the exploit development process, effectively reducing the technical barrier to assembling complex multi-stage intrusion chains while retaining high levels of operational secrecy. 

Technical analysis indicates that the campaign aimed at weaponizing Claude Code, by utilizing prompt engineering techniques in order to circumvent the system's built-in security measures. Over 1,000 prompts were submitted to the artificial intelligence environment, some of which were presented as legitimate bug bounty testing scenarios to bypass ethical restrictions embedded within the model by the researchers. 

In this iterative process, attackers were reported to have developed customized exploit scripts, lateral movement tooling, and operational playbooks tailored to the architecture of compromised networks through this iterative interaction. 

Following the generation of AI-generated material, successive phases of the intrusion chain, including privilege escalation, credential harvesting, and automated data extraction, were carried out. According to reports, the operators began shifting portions of their workflow to GPT-4.1 to continue developing credential handling utilities and refine network traversal techniques when restrictions began limiting output from Claude's environment. 

It was possible for the attackers to maintain a workflow that was largely automated and able to quickly adapt to defensive obstacles within the targeted infrastructure by chaining outputs from both AI systems. As a result of this approach, investigators identified behavioural indicators that stood out during forensic examination.

Among them were unusually large amounts of automated scripting activity, repeated instances of AI-generated code fragments appearing within attack tools, and the presence of AI-aided development processes operating from compromised government infrastructures. 

A series of stages has been involved in the intrusion, which began with compromising systems related to the Mexican tax authority before spreading to other public infrastructures. The attacker, according to investigators, then moved through a network of interconnected systems involving several regional government environments, municipal systems in Mexico City, public utility infrastructure in Monterrey, as well as at least one major financial institution, as well as the national electoral institute. 

As a result of the operation, approximately 150 gigabytes of sensitive data - including administrative information and individually identifiable information - were exfiltrated from these environments. MITER ATT&CK knowledge base analysis revealed a familiar sequence of intrusion techniques based on the observed activity. There is evidence that the initial access was obtained through valid accounts, followed by lateral movement with remote services, credential acquisition through operating system credential dump mechanisms, and large-scale data exfiltration. 

The researchers also observed additional measures intended to undermine defensive monitoring by interfering with security controls within the targeted environments in order to weaken defensive monitoring. 

Researchers noted that each of these tactics has been observed in conventional cyberespionage operations; however, the distinctive feature of the campaign was the systematic integration of generative artificial intelligence into the attack process. 

It is possible for attackers to coordinate complex intrusion chains at a speed and scale that is not possible with traditional manual methods, as they were able to automate reconnaissance, exploit development, and operational planning. This incident underscores how generative artificial intelligence systems are rapidly becoming a new layer within the cyber threat landscape that can enhance both defensive and offensive capabilities. 

In response to the threat of AI-aided attacks, security experts recommend that organizations, particularly those operating critical public infrastructure, adapt their defensive strategies accordingly. A number of measures are being taken to strengthen identity and access controls, identify anomalous automation patterns, and implement advanced behavioral analytics to identify tooling and scripting generated by AI. 

It is also recommended that AI developers, cybersecurity firms, and government agencies collaborate continuously so that safeguards can be refined to ensure that large language models are not manipulated for malicious purposes. 

It is becoming increasingly important for the cybersecurity community to ensure that innovations in artificial intelligence do not inadvertently become a force multiplier for sophisticated digital intrusions as platforms such as Claude and other generative AI systems continue to evolve.

Fake Google Meet Update Can Give Attackers Control of Your Windows PC

 



Cybersecurity analysts have identified a phishing campaign that can quietly hand control of a Windows computer to attackers after a single click. The scam appears as a routine update notice for Google Meet, but the prompt is fraudulent and redirects victims into a device management system controlled by threat actors.

Unlike many phishing schemes, the technique does not steal passwords, download obvious malware, or display clear warning signs. Instead, the attack relies on convincing users to interact with a page that imitates a standard software update message.


A convincing but fake update message

The deceptive webpage tells visitors they must install the latest version of Meet in order to continue using the service. The design closely resembles a legitimate update notification and uses familiar colors and branding that many users associate with Google products.

However, both the “Update now” button and the “Learn more” link do not connect to any official Google resource. Instead, they activate a special Windows deep link known as ms-device-enrollment:.

This feature is a built-in Windows mechanism designed for corporate environments. IT administrators commonly use it to send employees a link that allows a computer to be enrolled in a company’s device management system with minimal effort. In the attack campaign, the same capability is redirected to infrastructure operated by the attacker.


How the enrollment process begins

Windows enrollment links such as ms-device-enrollment: are commonly used in corporate environments where organizations need to configure large numbers of laptops quickly. The link automatically opens Windows settings and connects the device to an enterprise management server.

Once enrolled, the device becomes part of a management framework that allows administrators to deploy software updates, enforce security policies, and manage system configurations remotely.

Attackers exploit this workflow because users are accustomed to seeing this setup process when joining corporate networks, making it appear legitimate.

When a victim clicks the link, Windows immediately bypasses the browser and opens the operating system’s “Set up a work or school account” dialog. This is the same interface that appears when an organization configures a new employee laptop.

The enrollment request arrives with several fields already filled in. The username displayed is collinsmckleen@sunlife-finance.com, a domain designed to resemble the financial services firm Sun Life Financial. Meanwhile, the server connection is preconfigured to an endpoint hosted at tnrmuv-api.esper[.]cloud, which is part of infrastructure operated by Esper.

The attacker’s objective is not to impersonate the victim’s account perfectly. Instead, the goal is to persuade the user to continue through the legitimate Windows enrollment process. Even if only a small portion of targeted users proceed, that is enough for attackers to gain access to some systems.


What attackers gain after enrollment

If the victim clicks Next and completes the setup wizard, the computer becomes registered with a remote Mobile Device Management (MDM) server.

MDM platforms are commonly used by organizations to manage employee devices. Once a device joins such a system, administrators can remotely install or remove applications, modify operating system settings, access stored files, lock the device, or completely erase its contents.

Because the commands come from a legitimate management platform rather than a malicious program, the operating system performs the actions itself. As a result, there may be no suspicious malware process running on the machine.

The infrastructure used in this campaign relies on Esper, a legitimate enterprise management service that many companies use to control corporate hardware.

Further analysis of the malicious link shows encoded configuration data embedded in the server address. When decoded, the data reveals two identifiers associated with the Esper platform: a blueprint ID that determines which management configuration will be applied and a group ID that specifies the device group the computer will join once enrolled.


Abuse of legitimate features

Both the Windows enrollment handler and the Esper management service are functioning exactly as designed. The attacker’s tactic simply redirects these legitimate tools toward unsuspecting users.

Because no malicious software is delivered and no login credentials are requested, the attack can be difficult for security tools to detect. The enrollment prompt displayed to the user is an authentic Windows system dialog rather than a fake webpage. This means typical browser warnings or email filters that look for credential-stealing forms may not flag the activity.

Additionally, the command infrastructure operates on a trusted cloud-based platform, making domain reputation filtering less effective. Security specialists warn that many traditional detection tools are not designed to recognize situations where legitimate operating system features are misused to gain control of a system.

This technique reflects a broader trend in cybercrime. Increasingly, attackers are abandoning conventional malware and instead exploiting built-in operating system capabilities or legitimate cloud services to carry out their operations.


Steps to take if you interacted with the page

Users who believe they may have clicked the fake update prompt should first check whether their device has been enrolled in an unfamiliar management system.

On Windows computers, this can be done by navigating to Settings → Accounts → Access work or school. If an unfamiliar entry appears, particularly one associated with domains such as sunlife-finance or esper, it should be selected and disconnected immediately.

Anyone who clicked the “Update now” link on the malicious site and proceeded through the enrollment wizard should treat the computer as potentially compromised. Running a current anti-malware scan is recommended to determine whether the management server deployed additional software after enrollment.

For organizations, administrators may also want to review device management policies. Endpoint management platforms such as Microsoft Intune allow companies to restrict which MDM servers corporate devices are permitted to join. Implementing such restrictions can reduce the risk of unauthorized device enrollment in similar attacks.

Security researchers have warned that misuse of device management systems can be particularly dangerous because they grant deep administrative control over enrolled devices.

According to analysts from Gartner, enterprise device management platforms often have privileged system access comparable to local administrators, allowing them to modify system policies, install applications, and control security settings remotely.

When such privileges fall into the wrong hands, attackers can effectively operate the device as if they were legitimate administrators.

Apple Rolls Out Global Age-Verification System to Protect Kids Online

 

Apple has rolled out a new global age-verification system across its platforms, aimed at keeping kids safer online while helping developers comply with tightening child safety laws worldwide. The move targets both app downloads and in‑app experiences, with a particular focus on blocking underage access to adult‑rated content without sacrificing user privacy.

Under the new rules, users in countries such as Brazil, Australia and Singapore will be blocked from downloading apps rated 18+ unless Apple can confirm they are adults. Similar protections are being extended to parts of the United States, where states like Utah and Louisiana are introducing strict online age‑assurance laws, pushing platforms to verify whether users are children, teens or adults before allowing access to certain apps or features.This marks one of Apple’s strongest steps yet to align its App Store with regional regulations on children’s digital safety.

At the heart of the initiative is Apple’s privacy‑focused Declared Age Range API, which lets apps learn a user’s age category instead of their exact birthdate. Developers can use this signal to tailor content, enable or disable features, or trigger parental consent flows for younger users, while never seeing sensitive identity details. Apple says this design is meant to minimize data collection and reduce the risk of intrusive ID checks or third‑party age‑verification databases.

For parents, the age‑verification push builds on Apple’s existing child account system and content restrictions.Parents can already set up child profiles, choose age ranges and apply web content filters, and now those settings can flow through to third‑party apps via the new tools.This means a game, social app or streaming service can automatically recognize that a user is a child or teen and adjust what they can see or do without asking for new personal information.

For developers, Apple is introducing an expanded toolkit that includes the updated Declared Age Range API, new age‑rating properties in StoreKit, and improved server notifications to track compliance. These tools will be essential in regions where apps must prove they are screening out underage users from adult content or obtaining parental consent for significant changes. As more governments pass online safety laws, Apple’s global age‑verification framework is likely to become a key part of how the App Store balances regulatory demands with user privacy.

Conduent Leak: One of the Largest Breaches in The U.S


Conduent, a business that offers printing, payment, and document processing services to some of the biggest health insurance companies in the nation, has had at least 25 million people's personal information stolen. Addresses, social security numbers, and health information were exposed to ransomware hackers in what some have already dubbed one of the biggest data breaches in American history. 

According to a letter the business issued online, Conduent initially learned it was the victim of a "cyber incident" more than a year ago on January 13, 2025. The actual breach occurred between October 21, 2024, and January 13, 2025, and it included Conduent's data because the company offers services to health plans.

Names, social security numbers, health insurance details, and unspecified medical information were among the data. In its notice, the business stressed that "not every data element was present for every individual," which implies that some individuals may have had their health insurance information taken but not their social security number, or vice versa. 

According to Bleeping Computer, the Safepay ransomware organization claimed responsibility for the attack, which allegedly captured more than 8 gigabytes of data. Conduent stated online, "Presently, we are unaware of any attempted or actual misuse of any information involved in this incident," while it is unclear if Safepay has demanded payment for the information's recovery.

10.5 million people were affected by the incident, according to Oregon's consumer protection website, although it's unknown how many people in Oregon alone were affected. According to Wisconsin, the national total is more than 25 million. 

Notifications have also been sent to residents of other states, such as California, Delaware, Massachusetts, New Hampshire, and New Mexico. According to the state's attorney general, just 374 people's data was compromised in Maine, one of the states with very tiny numbers. Conduent, a New Jersey-based company, did not reply to emails on Tuesday inquiring about the full extent of the incident and what victims could do about it.

Conduent is providing free credit monitoring and identity restoration services through Epiq to certain individuals, but those affected must join before April 30, 2026, according to a letter given to victims in California.

Age Verification Laws for Social Media Raise Privacy Concerns and Enforcement Challenges

 

Across nations, governments push tighter rules limiting young users’ access to social media. Because of worries over endless scrolling, disturbing material online, or growing emotional struggles in teens, officials demand change. Minimum entry ages - often 13 or 16 - are now common in draft laws shaping platform duties. While debates continue, one thing holds: unrestricted teenage access faces mounting resistance. 

Still, putting such policies into practice stirs up both technological hurdles and concerns about personal privacy. To make sure people are old enough, services need proof - yet proving age typically means gathering private details. Meanwhile, current regulations push firms to keep data collection minimal. That tension forms what specialists call an “age-verification trap,” where tighter control over access can weaken safeguards meant to protect individual information. 

While many rules about age limits demand that services make "reasonable efforts" to block young users, clear guidance on checking someone's actual age is almost never included. One way firms handle this gap: they lean heavily on just two methods when deciding what to do. Starting off, identity checks require people to show their age using official ID or online identity tools. 

Although more reliable, keeping such data creates worries over privacy breaches. Handling vast collections of private details increases exposure to cyber threats. Security weakens when too much sensitive material gathers in one place. Age guesses shape the next method. By watching how someone uses a device, or analyzing video selfies with face-scanning tech, systems try to judge their years without asking for ID cards. 

Still, since these outcomes depend on likelihoods instead of confirmed proof, doubt remains part of the process. Some big tech firms now run these kinds of tools. While Meta applies face-based age checks on Instagram in select regions - asking certain users to send brief video clips if they seem underage - TikTok examines openly shared videos to guess how old someone might be. 

Elsewhere, Google and its platform YouTube lean on activity patterns; yet when doubt remains, they can ask for official identification or payment details. These steps aim at confirming ages without relying solely on stated information. Mistakes happen within these systems. Though meant to protect, they occasionally misidentify adults as children - leading to sudden account access issues. 

At times, underage individuals slip through gaps, using borrowed IDs or setting up more than one profile. Restrictions fail when shared credentials enter the picture. A single appeal can expose personal details when systems retain proof materials past their immediate need. Stored face scans, ID photos, or validation logs may linger just to satisfy legal checks. These files attract digital intrusions simply by existing. Every extra day they remain increases the chance of breach. 

Where identity infrastructure is weak, the difficulty grows. Biometrics might step in when official systems fall short. Oversight tends to be sparse, even as outside verifiers take on bigger roles. Still, shielding kids on the web without losing grip on private information is far from simple. When authorities roll out tighter rules for confirming age, the tools built to follow these laws could change how identities and personal details move through digital spaces.

Marquis Sues SonicWall Over Alleged Security Flaws Linked to Major Ransomware Attack

 

A legal battle is escalating in Texas after fintech company Marquis filed a lawsuit against firewall vendor SonicWall, claiming that weaknesses in the company’s cloud backup service played a key role in a large ransomware attack.

The case was filed Monday in the U.S. District Court for the Eastern District of Texas, where Marquis is requesting a jury trial. The company argues that a 2025 cybersecurity incident at SonicWall "exposed critical security information for Marquis and every customer that used SonicWall's firewall cloud backup service."

According to the complaint, cybercriminals were able to obtain sensitive firewall configuration backup files, which were later used to infiltrate Marquis’ internal network.

Firewalls are meant to prevent unauthorized access to private networks. However, Marquis claims attackers used data taken from SonicWall’s cloud backup service to analyze how customers configured their firewall protections. This information allegedly provided them with a detailed roadmap to circumvent security controls.

The stolen information reportedly included emergency administrative access credentials known as scratch codes. These codes are designed to enable urgent system access but, according to the lawsuit, were exploited by attackers to bypass protections and gain entry into Marquis’ network.

"SonicWall allowed a threat actor to obtain the keys to bypass that line of defense and walk right into Marquis's internal network, the very thing that SonicWall's firewall was supposed to prevent," the lawsuit states.

After gaining access, the hackers allegedly launched a ransomware attack that disrupted Marquis’ operations and exfiltrated sensitive data.

Marquis, which offers data visualization solutions used by hundreds of banks and credit unions, reported that the attackers accessed "personally identifiable information concerning customers of some of Marquis's financial institution clients."

The compromised data reportedly includes names, dates of birth, mailing addresses, and financial information such as bank account numbers, debit card numbers, and credit card numbers. Social Security numbers were also exposed during the breach.

Expanding Impact of the Breach

SonicWall initially disclosed the security incident in mid-September 2025, stating that fewer than 5% of firewall configuration backup files belonging to customers had been taken from storage servers hosted on Amazon’s cloud infrastructure and managed by SonicWall.

However, the company later updated its disclosure in October, acknowledging that the attackers had actually obtained backup files belonging to all customers.

Marquis began notifying impacted individuals in December 2025, explaining that its systems had been compromised earlier in August. SonicWall has not revealed when the attackers initially accessed its environment, leaving questions about how long the vulnerability may have remained undetected.

In the lawsuit, Marquis claims that a modification made in February 2025 to one of SonicWall’s application programming interfaces (APIs) "created a vulnerability exploitable by threat actors." The complaint further alleges that this weakness enabled attackers to retrieve firewall configuration backup files "without proper authentication" by predicting firewall serial numbers.

The company has not yet confirmed the full scope of affected individuals. However, a report filed with the Texas attorney general indicates that at least 400,000 people across the United States may have been impacted. That number could rise as more breach notifications are submitted to regulators in other states.

The case now raises serious questions about SonicWall’s security controls surrounding its cloud backup service. A jury in the Eastern District of Texas will ultimately decide whether the vulnerabilities and subsequent ransomware attack were the result of security failures on SonicWall’s part, as Marquis alleges.

Rising Cyber Threats Linked to Ongoing Middle East Conflict


A geopolitical crisis has historically been fought on physical battlefields, but its effects are seldom confined to borders in the modern threat landscape. While tensions are swirling across the Middle East as a result of the United States' military operations in Iran and Tehran's retaliatory actions, a parallel surge of activity is being witnessed in the digital world. 


There is increasing concern among security analysts as well as government cyber agencies about how geopolitical instability provides fertile ground for cybercriminals and state-aligned actors. In order to manipulate public curiosity, exploit fear, and conceal malicious campaigns, attackers have utilized this rapidly evolving situation as a convenient narrative.

As soon as the escalation began, researchers began tracking a growing ecosystem of cyber infrastructure based on conflict that lures unsuspecting users into fraudulent websites, phishing scams, and malware downloads. 

In many cases, what appears to be breaking news or urgent updates about a crisis hides carefully designed traps meant to infiltrate corporations, collect credentials, or spread malicious software designed to steal data. 

Due to this, the conflict's digital shadow has expanded beyond the immediate region, raising concerns among cybersecurity professionals that opportunistic attacks may become increasingly targeted against individuals and organizations worldwide. 

The intensification of hostilities in late February 2026, when the United States and Israel are said to have conducted coordinated airstrikes against multiple Iranian facilities, has further compounded the escalation of cyber threats. 

Security analysts have identified a pattern where cyber activity closely follows developments on the ground following the strikes and retaliatory actions which have reverberated across several Middle Eastern nations following the strikes. 

According to researchers, digital operations played a supporting role long before the first missiles were deployed. Iran's command-and-control infrastructure was disrupted by coordinated electronic warfare tactics and large-scale distributed denial-of-service campaigns. This temporarily impeded national internet access and could potentially complicate real-time military coordination by reducing national internet connectivity to a fraction of its usual capacity. 

It is clear from such incidents that cyber capabilities are becoming increasingly integrated into broader strategic operations, influencing the circumstances under which conventional military engagements occur. However, analysts note that the cyber dimension of the conflict cannot be limited to state-directed operations alone. 

As a result, it is widely expected that Iranian digital response will follow an asymmetric model, with loosely aligned or ideologically sympathetic groups operating outside its borders typically executing these actions. They vary considerably in capability, but their activities often involve defacing websites, leaking data, and launching disruptive attacks intended to generate publicity in addition to operational damage. 

A team tracking online channels associated with hacktivist communities has observed hundreds of claims of cyberattack within days of the escalation, many of which were shared via propaganda platforms and messaging platforms aligned with geopolitical agendas. 

In spite of the fact that not all claims reflect a verified breach, the rapid dissemination of such announcements can create confusion, inflate perceived impact, and press targeted organizations into responding before technical verification is possible. It is becoming increasingly clear that the target list is expanding beyond political disruption. 

Monitoring of cybersecurity indicates that activities related to the conflict extend beyond Israel to Gulf States, Jordan, Cyprus, and American organizations based abroad. As a result of financial motivation, ransomware operators and threat groups have attempted to frame attacks against Israeli and Western-related entities as political alignments rather than criminal attacks.

A gradual blurring of the distinction between state-aligned disruption and extortion involving financial gain is being caused by the blending of ideological messaging and traditional cybercrime tactics. Moreover, security teams have warned that opportunistic actors are leveraging geopolitical tensions as a narrative hook for phishing and fraud operations. 

It has been observed increasingly that travel-related scams are targeting individuals stranded or traveling within the region, and credential harvesting campaigns are targeting diplomats, journalists, humanitarian organizations and defense contractors. There has been an increase in interest in industrial and operational technology environments in recent years, which has created an alarm. 

It is important to note that early cyber activity linked to the conflict was primarily defacements and distributed denial-of-service attacks against public websites. In recent reports, threat intelligence reports have indicated an attempt to probe systems linked to industrial control components such as programmable logic controllers and other industrial control components. 

Consequently, if substantiated, this shift would represent a substantial escalation of both technical ambition and potential impact for energy facilities, utilities, and other critical infrastructure operators throughout the Middle East and Gulf region, should reevaluate their operational network resilience, particularly those that connect information technology with industrial control systems. 

Together, these developments suggest a broad range of potential cyber activity, including high-volume DDoS campaigns that target government portals as well as targeted spear-phishing activities that seek credentials from diplomats, media organizations, and defense contractors. 

A number of analysts have warned that ransomware incidents can be politicized, hack-and-leak operations will target military-linked entities, and destructive malware may be used to disable government systems. 

The influence campaigns and fabricated breach claims being circulated through social media platforms are expected to play a parallel role in shaping public perception as well as these technical threats. As a result of the possibility of both verified attacks and exaggerated narratives producing real-world consequences, enhancing situational awareness and improving defensive monitoring is becoming an integral aspect of risk management in organizations. 

It is also evident from the broader regional context why geopolitical escalation often results in heightened cyber security risks in the Middle East. Over the past decade, countries across the region have taken steps to transform public services, financial systems, telecommunications infrastructure, and energy operations through large-scale digital transformation initiatives. 

Particularly, Gulf Cooperation Council members have led these efforts. In addition to strengthening economic diversification and technological capacity, these efforts have increased the digital attack surface available to threat actors at the same time.

Monitoring of cybercrime activities in the Gulf has indicated an increasing number of traditional cybercrime activities targeting both private and state institutions. In recent years, financial fraud campaigns, ransomware attacks, and political-motivated web defacements have disrupted a wide range of industries, including banking, telecommunications, and more. 

There have been several high-profile incidents in recent years that involved financial institution and mobile banking platform breaches, while ransomware groups have increasingly targeted large regional service providers as targets. These campaigns have grown in frequency as well as sophistication, reflecting the region's interconnected digital infrastructure’s increasing strategic value. 

In addition, the threat environment is not limited to conventional cybercrime. Researchers continue to report advanced persistent threat groups conducting cyberespionage operations against governmental agencies, defense organizations, and energy infrastructure throughout the region, in addition to conventional cybercrime. 

There is a widespread belief that many of these campaigns are associated with states and geopolitical rivalries, with a particular focus being placed on individuals associated with Iran following earlier cyber incidents against its nuclear facilities. 

Several activities attributed to this group have included deployment of destructive malware, covert surveillance campaigns, and data destruction attacks, all aimed at disrupting critical infrastructure without providing any indication as to whether the underlying motive is political disruption or financial gain. 

Consequently, attribution efforts have been complicated by the convergence of these motives, resulting in the increasing overlap between cyber espionage, sabotage, and criminal activity. Cybersecurity dynamics are also influenced by the political and social significance of the digital space within the region.

Digital platforms, data flows, and communication infrastructure are frequently regulated by Middle Eastern governments as a matter of national stability and regime security. Consequently, social media platforms and messaging platforms have evolved into contested environments where state institutions, activists, extremist organizations, and influence networks compete to shape narratives in contested environments. 

In times of conflict or political instability, this competition can take the form of distributed denial-of-service attacks, coordinated disinformation campaigns, doxxing operations, and claims of data breaches aimed at putting pressure on political opponents or influencing public opinion. 

With the increasing use of artificial intelligence tools for creating synthetic media, automating propaganda, or manipulating information flow, it has become increasingly difficult for organizations to maintain reliable situational awareness during emergencies. In addition to the integration of artificial intelligence and autonomous technologies into military and security operations across the region, there is an emerging dimension. 

New cybersecurity vulnerabilities are inevitable as governments and non-state actors experiment with artificial intelligence-enabled surveillance, targeting, and operational coordination systems. It is important to be aware that when systems depend on complex supply chains of software or foreign technological expertise, cyber intrusions, manipulation, and espionage can be a potential entry point. 

According to security specialists, interference with these technologies could have consequences beyond the theft of data, impacting battlefield decision-making, operational reliability, or strategic control over sensitive defense capabilities, among other things. 

Institutions are not the only ones to face such risks. Technology-facilitated abuse has become increasingly problematic for vulnerable communities as it intersects with personal safety concerns and digital rights. 

A number of places in the region have experienced an increase in the spread of manipulated images and deepfake content as a result of technology-facilitated abuse, including impersonation schemes and sextortion. Many victims experience significant social stigma or legal barriers when seeking assistance, which can discourage them from reporting and allow perpetrators to operate with relative impunity. 

In combination, these trends illustrate that cybersecurity is not limited to protecting networks or infrastructure in the Middle East. A complex intersection of national security, information control, technological competition, and social vulnerability has resulted in a situation where the region is particularly vulnerable to cyber activity arising from geopolitical tensions.

Cyberattacks Shift Tactics as Hackers Exploit User Behavior and AI, Experts Warn

 

Cybersecurity threats are evolving rapidly, forcing businesses to rethink how they approach digital security. Experts say modern cyberattacks are no longer focused solely on breaking technical defenses but are increasingly designed to exploit everyday user behavior. 
 
According to industry observers, files downloaded by employees have become a common entry point for cybercriminals. Items such as invoices, installers, documents, and productivity tools are often downloaded without careful verification, creating opportunities for attackers. 

“The Downloads folder has quietly become one of the hottest pieces of real estate for cybercriminals,” said Sanket Atal, senior vice president of engineering and country head at OpenText India. 

“Attackers are not trying to break cryptography anymore. They’re hijacking habits.” Research cited by the company indicates that more than one third of consumer malware infections are first detected in the Downloads directory. 

Security specialists say this reflects a broader shift in how cyberattacks are designed, with attackers relying more on social engineering and multi-stage malware. Atal said malicious files frequently appear harmless when first opened. “These files often look completely harmless at first,” he said. 

“They only later pull in ransomware components or credential-stealing payloads. It is a multi-stage approach that is very difficult to catch with signature-based tools.” Experts say the rise in such attacks is also linked to the growing industrialization of cybercrime. 

Modern ransomware groups and information-stealing operations increasingly operate like structured businesses that continuously test and refine their methods. “Ransomware-as-a-service groups and info-stealer operators are constantly refining their lures,” Atal said. 

“They are comfortable using SEO-poisoned websites, fake update prompts, and even ‘productivity tools’ to get users to download something that looks normal.” India’s rapidly expanding digital ecosystem has made it an attractive target for attackers. 

The combination of millions of new internet users, the widespread use of personal devices for work, and the overlap between personal and professional computing environments increases exposure to risk. 

“When a poisoned file lands in a Downloads folder on a personal device, it can easily become an entry point into enterprise systems,” Atal said. “Especially when that same device is used for banking, office work, and email.” Artificial intelligence is further changing the threat landscape. 

Generative AI tools can now produce convincing phishing messages that mimic corporate communication styles and reference real projects. “AI has removed the traditional visual cues people relied on to spot scams,” Atal said. 

“Generative models now write in perfect business language, reuse an organisation’s tone, and reference real projects scraped from public sources.” Security analysts say deepfake technology is also being used to manipulate business processes. 

Synthetic video calls and cloned voices have been used to approve financial transactions in some cases. Another emerging pattern is the rise of malware-free intrusions, where attackers rely on stolen credentials or legitimate remote access tools instead of traditional malicious software. 

“We’re also seeing a rise in malware-free intrusions,” Atal said. “Attackers use stolen credentials and legitimate remote access tools. Nothing matches a known signature, yet the breach is very real.” Experts say these developments are forcing organizations to shift their security strategies. 

Instead of focusing solely on scanning files and attachments, security teams are increasingly monitoring behavior patterns across users, devices, and systems. “The first shift is moving from content to behaviour,” Atal said. 

“Instead of just scanning attachments, organisations need to focus on whether a user or service account is behaving consistently with historical and peer norms.” Security specialists also emphasize the importance of integrating identity verification with threat detection systems. 

When phishing messages become difficult to distinguish from legitimate communication, identity context becomes a key factor in identifying suspicious activity. In addition, companies are beginning to rely on artificial intelligence for defensive purposes. 

Automated systems can help security teams manage the growing volume of alerts by identifying patterns and highlighting potential threats more quickly. “Security teams are overwhelmed by alerts,” Atal said. 

“AI-based triage is essential to reduce noise, correlate weak signals, and generate plain-language narratives so analysts can act faster.” Despite increased awareness of cybersecurity threats, several misconceptions persist. 

Many organizations assume that the most serious cyberattacks originate from sophisticated state-backed actors. “One big myth is that serious attacks only come from exotic nation-state actors,” Atal said. “The truth is, most breaches begin with everyday issues such as phishing, malicious downloads, weak passwords, or cloud misconfigurations.” 

Another misconception is that smaller organizations are less likely to be targeted. However, experts say attackers often focus on industries with weaker security controls, including healthcare providers, hospitality companies, and smaller financial institutions. 

Cybersecurity specialists also warn that many attacks no longer rely on traditional malware. Techniques such as identity-based attacks, business email compromise, and misuse of legitimate administrative tools often bypass standard antivirus defenses. “Identity-based attacks, business email compromise, and abuse of legitimate tools often never trigger traditional antivirus,” Atal said. 

“The starting point can be any user, device, or partner that has access to data.” Industry leaders say the challenge is compounded by the fact that many cybersecurity systems were designed for a different technological environment. 

Vinayak Godse, chief executive of the Data Security Council of India, said existing security frameworks were built before the widespread adoption of digital services and artificial intelligence. 

“In the digitalisation space, we are creating tremendous experiences, productivity gains, and new possibilities,” Godse said. “But the security frameworks we have in place were designed for an older paradigm.” He added that attackers today are capable of identifying and exploiting even a single vulnerability in complex digital systems. 

“The current attack ecosystem can identify and exploit even one vulnerability out of millions, or even billions,” Godse said. Experts say the erosion of traditional network boundaries has further complicated security efforts. Remote work, cloud computing, software-as-a-service platforms, and third-party integrations mean that sensitive systems can now be accessed from a wide range of devices and locations. 

“A user on a personal phone, accessing a SaaS application from home Wi-Fi, is still inside your risk perimeter,” Atal said. As a result, organizations are increasingly focusing on continuous verification and context-aware monitoring rather than relying solely on perimeter defenses. 

According to Atal, the effectiveness of AI-driven security tools ultimately depends on the quality of underlying data. If data sources are fragmented or poorly labeled, even advanced analytics systems may struggle to detect threats. 
 
“Every advanced AI-driven security use case boils down to whether you can see your data and whether you can trust it,” he said. Security experts say that integrating identity signals, access patterns, and data sensitivity into unified monitoring systems can help organizations identify suspicious activity more effectively. 

“When data, identity, and threat signals are unified, security teams can see a connected narrative,” Atal said. “A login, a download, and a data access event stop being isolated alerts and start telling a story.” 

 
Despite advances in technology, experts say human behavior remains a critical factor in cybersecurity. 

“In today’s cyber landscape, the front line is no longer the firewall,” Atal said. “It is the file you choose to open and the behaviour that follows.”

New Copilot Setting May Access Activity From Other Microsoft Services. Here’s How Users Can Disable It

 



A recently noticed configuration inside Microsoft Copilot may allow the AI tool to reference activity from several other Microsoft platforms, prompting renewed discussion around data privacy and AI personalization. The option, which appears within Copilot’s settings, enables the assistant to use information connected to services such as Bing, MSN, and the Microsoft Edge browser. Users who are uncomfortable with this level of integration can switch the feature off.

Like many modern artificial intelligence systems, Copilot attempts to improve the usefulness of its responses by understanding more about the person interacting with it. The assistant normally does this by remembering past conversations and storing certain details that users intentionally share during chats. These stored elements help the AI maintain context across multiple interactions and generate responses that feel more tailored.

However, a specific configuration called “Microsoft usage data” expands that capability. According to reporting first highlighted by the technology outlet Windows Latest, this setting allows Copilot to reference information associated with other Microsoft services a user has interacted with. The option appears within the assistant’s Memory controls and is available through both the Copilot website and its mobile applications. Observers believe the setting was introduced recently as part of Microsoft’s effort to strengthen personalization features in its AI tools.

The Memory feature in Copilot is designed to help the assistant retain useful context. Through this system, the AI can recall earlier conversations, remember instructions or factual information shared by users, and potentially reference certain account-linked activity from other Microsoft products. The idea is that by understanding more about a user’s interests or previous discussions, the assistant can provide more relevant answers.

In practice, such capabilities can be helpful. For instance, a user who discussed a topic with Copilot previously may want to continue that conversation later without repeating the entire background. Similarly, individuals seeking guidance about personal or professional matters may receive more relevant suggestions if the assistant has some awareness of their preferences or circumstances.

Despite the convenience, the feature also raises questions about privacy. Some users may be concerned that allowing an AI assistant to accumulate information from multiple services could expose more personal data than expected. Others may want to know how that information is used beyond personalizing conversations.

Microsoft addresses these concerns in its official Copilot documentation. In its frequently asked questions section, the company states that user conversations are processed only for limited purposes described in its privacy policies. According to Microsoft, this information may be used to evaluate Copilot’s performance, troubleshoot operational issues, identify software bugs, prevent misuse of the service, and improve the overall quality of the product.

The company also says that conversations are not used to train AI models by default. Model training is controlled through a separate configuration, which users can choose to disable if they do not want their interactions contributing to AI development.

Microsoft further clarifies that Copilot’s personalization settings do not determine whether a user receives targeted advertisements. Advertising preferences are managed through a different option available in the Microsoft account privacy dashboard. Users who want to stop personalized advertising must adjust the Personalized ads and offers setting separately.

Even with these explanations, privacy concerns remain understandable, particularly because Microsoft documentation indicates that Copilot’s personalization features may already be activated automatically in some cases. When reviewing the settings on a personal device, these options were found to be switched on. Users who prefer not to allow Copilot to access broader usage data may therefore wish to disable them.

Checking these settings is straightforward. Users can open Copilot through its website or mobile application and ensure they are signed in with their Microsoft account. On the web interface, selecting the account name at the bottom of the left-hand panel opens the Settings menu, where the Memory section can be accessed. In the mobile application, the same controls are available through the side navigation menu by tapping the account name and choosing Memory.

Inside the Memory settings, users will see a general control labeled “Personalization and memory.” Two additional options appear beneath it: “Facts you’ve shared,” which stores information provided directly during conversations, and “Microsoft usage data,” which allows Copilot to reference activity from other Microsoft services.

To limit this behavior, users can switch off the Microsoft usage data toggle. They may also disable the broader Personalization and memory option if they prefer that the AI assistant does not retain contextual information about their interactions. Copilot also provides a “Delete all memory” function that removes all stored data from the system. If individual personal details have been recorded, they can be reviewed and deleted through the editing option next to “Facts you’ve shared.”

Security and privacy experts generally advise caution when sharing information with AI assistants, even when personalization features remain enabled. Sensitive or confidential details should not be entered into conversations. Microsoft itself recommends avoiding the disclosure of certain types of highly personal data, including information related to health conditions or sexual orientation.

The broader development reflects a growing trend in the technology industry. As AI assistants become integrated across multiple platforms and services, companies are increasingly using cross-service data to make these tools more helpful and personalized. While this approach can improve convenience and usability, it also underlines the grave necessity for transparent privacy controls so users remain aware of how their information is being used and can adjust those settings when necessary.