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User Privacy
Cloud Security Cyber Security data security threat report User Privacy

Data Security Posture Insights: Overcoming Complexity and Threat Landscape

 

In today's competitive landscape, it is becoming more critical for businesses to find ways to adapt their data security, governance, and risk management strategies to the volatile economy by increasing efficiency or lowering costs while maintaining the structure, consistency, and guidance required to manage cyber threats and ensure compliance. 

As organisations increasingly migrate various on-premises applications and data workloads to multicloud environments, the complexity and dispersed nature of cloud environments presents significant challenges in terms of managing vulnerabilities, controlling access, understanding risks, and protecting sensitive data.

What is data security risk? 

Data security refers to the process of preserving digital information from unauthorised access, corruption, or theft throughout its lifecycle. Risks are introduced into databases, file servers, data lakes, cloud repositories, and storage devices via all access channels to and from these systems. 

Most importantly, the data itself, whether in motion or at rest, deserves the same level of protection. When effectively executed, a data-centric approach will secure an organization's assets and data from cyberattacks while also guarding against insider threats and human error, which are still among the major causes of data breaches.

Complexity factor into data security risk 

Many variables contribute to organisational growth while also increasing security complexity. Complexity undermines operational stability and has an equivalent influence on security. Understanding and analysing all the causes of complexity allows organisations to develop focused initiatives and efficiently automate observability and control, fostering a lean and responsive operational team. 

Cloud Security Alliance's Understanding Data Security Risk 2025 Survey Report outlines major topics that organisations are actively addressing:

High growth with AI-driven innovation and security: As AI stimulates innovation, it also broadens the threat landscape. Rapid expansion frequently outpaces the creation of required infrastructures, processes, and procedures, resulting in ad hoc measures that add complexity. Gen-AI also introduces a new level of difficulty as it becomes more prominent in cloud environments, which remain a major target owing to their complexity and scale. 

Processes and automation: We understand that limited staff and inefficient or outdated processes frequently result in manual and redundant efforts. This places a significant load on teams that struggle to stay up, resulting in reactive stopgap or workaround actions. To summarise, manual efforts can be error-prone and time-consuming. At the same time, organisations may encounter unwanted bottlenecks, which can increase complexity and impede risk detection and security enforcement. Automate as much as possible, including data security and risk intelligence, to ensure that risks are managed proactively, reducing the escalation of critical occurrences. 

Technology integration: Although technology provides answers for efficiency and effectiveness, integrating several systems without careful planning can result in disjointed security process silos, ineffective security infrastructure, and mismatched security stack components. Fragmented visibility, control, and access enforcement are the unstated costs of fragmented tools. Even though they are crucial, traditional compliance and security systems frequently lack the integration and scalability required for contemporary and successful risk management. 

Proactive data security posture management 

To improve security posture, organisations are adopting proactive, risk-based solutions that include continuous monitoring, real-time risk assessments, and dynamic actionable workflows. This strategy allows for the detection and mitigation of flaws before they are exploited, resulting in a more strong defence against threats. 

According to the poll results, 36% prioritise assessment results, 34% believe a dedicated dashboard is most useful, and 34% want risk scores to better understand their organization's data risk. 

 onquering complexity necessitates a comprehensive approach that incorporates technology, best practices, and risk awareness. By prioritising data security throughout your cloud journey, you can keep your data safe, your apps running smoothly, and your business thriving in the ever-changing cloud landscape.
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Privacy
AI Chatbot Ai Data AI Security AI Techniques Chatbots Cloud Security Data Privacy Data Usage Online Security Privacy

PocketPal AI Brings Offline AI Chatbot Experience to Smartphones With Full Data Privacy

 

In a digital world where most AI chatbots rely on cloud computing and constant internet connectivity, PocketPal AI takes a different approach by offering an entirely offline, on-device chatbot experience. This free app brings AI processing power directly onto your smartphone, eliminating the need to send data back and forth across the internet. Conventional AI chatbots typically transmit your interactions to distant servers, where the data is processed before a response is returned. That means even sensitive or routine conversations can be stored remotely, raising concerns about privacy, data usage, and the potential for misuse.

PocketPal AI flips this model by handling all computation on your device, ensuring your data never leaves your phone unless you explicitly choose to save or share it. This local processing model is especially useful in areas with unreliable internet or no access at all. Whether you’re traveling in rural regions, riding the metro, or flying, PocketPal AI works seamlessly without needing a connection. 

Additionally, using an AI offline helps reduce mobile data consumption and improves speed, since there’s no delay waiting for server responses. The app is available on both iOS and Android and offers users the ability to interact with compact but capable language models. While you do need an internet connection during the initial setup to download a language model, once that’s done, PocketPal AI functions completely offline. To begin, users select a model from the app’s library or upload one from their device or from the Hugging Face community. 

Although the app lists models without detailed descriptions, users can consult external resources to understand which model is best for their needs—whether it’s from Meta, Microsoft, or another developer. After downloading a model—most of which are several gigabytes in size—users simply tap “Load” to activate the model, enabling conversations with their new offline assistant. 

For those more technically inclined, PocketPal AI includes advanced settings for switching between models, adjusting inference behavior, and testing performance. While these features offer great flexibility, they’re likely best suited for power users. On high-end devices like the Pixel 9 Pro Fold, PocketPal AI runs smoothly and delivers fast responses. 

However, older or budget devices may face slower load times or stuttering performance due to limited memory and processing power. Because offline models must be optimized for device constraints, they tend to be smaller in size and capabilities compared to cloud-based systems. As a result, while PocketPal AI handles common queries, light content generation, and basic conversations well, it may not match the contextual depth and complexity of large-scale models hosted in the cloud. 

Even with these trade-offs, PocketPal AI offers a powerful solution for users seeking AI assistance without sacrificing privacy or depending on an internet connection. It delivers a rare combination of utility, portability, and data control in today’s cloud-dominated AI ecosystem. 

As privacy awareness and concerns about centralized data storage continue to grow, PocketPal AI represents a compelling alternative—one that puts users back in control of their digital interactions, no matter where they are.
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GitHub Advanced Security
AWS Cloud Security Critical Infrastructure Customer Data Cyberattack Data Breach Data Safety User Data data security GitHub GitHub Advanced Security

Massive Cyberattack Disrupts KiranaPro’s Operations, Erases Servers and User Data


KiranaPro, a voice-powered quick commerce startup connected with India’s Open Network for Digital Commerce (ONDC), has been hit by a devastating cyberattack that completely crippled its backend infrastructure. The breach, which occurred over the span of May 24–25, led to the deletion of key servers and customer data, effectively halting all order processing on the platform. Despite the app still being live, it is currently non-functional, unable to serve users or fulfill orders. 


Company CEO Deepak Ravindran confirmed the attack, revealing that both their Amazon Web Services (AWS) and GitHub systems had been compromised. As a result, all cloud-based virtual machines were erased, along with personally identifiable information such as customer names, payment details, and delivery addresses. The breach was only discovered on May 26, when the team found themselves locked out of AWS’s root account. Chief Technology Officer Saurav Kumar explained that while they retained access through IAM (Identity and Access Management), the primary cloud environment had already been dismantled. 

Investigations suggest that the initial access may have been gained through an account associated with a former team member, although the company has yet to confirm the source of the breach. To complicate matters, the team’s multi-factor authentication (MFA), powered by Google Authenticator, failed during recovery attempts—raising questions about whether the attackers had also tampered with MFA settings. 

Founded in late 2024, KiranaPro operates across 50 Indian cities and allows customers to order groceries from local kirana shops using voice commands in multiple languages including Hindi, Tamil, Malayalam, and English. Before the cyberattack, the platform served approximately 2,000 orders daily from a user base of over 55,000 and was preparing for a major rollout to double its footprint across 100 cities. 

Following the breach, KiranaPro has contacted GitHub for assistance in identifying IP addresses linked to the intrusion and has initiated legal action against ex-employees accused of withholding account credentials. However, no final evidence has been released to the public about the precise origin or nature of the attack. 

The startup, backed by notable investors such as Blume Ventures, Snow Leopard Ventures, and TurboStart, had recently made headlines for acquiring AR startup Likeo in a $1 million stock-based deal. High-profile individual investors include Olympic medalist P.V. Sindhu and Boston Consulting Group’s Vikas Taneja. 

Speaking recently to The Indian Dream Magazine, Ravindran had laid out ambitious plans to turn India’s millions of kirana stores into a tech-enabled delivery network powered by voice AI and ONDC. International expansion, starting with Dubai, was also on the horizon—plans now put on hold due to this security incident. 

This breach underscores how even tech-forward startups are vulnerable when cybersecurity governance doesn’t keep pace with scale. As KiranaPro works to recover, the incident serves as a wake-up call for cloud-native businesses managing sensitive data.
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Network Security
AI cybersecurity AI cybersecurity tools AI technology AI tools Cloud Security Cyber Defenses Cyber Security Endpoint IAM Machine learning Network Security

AI in Cybersecurity Market Sees Rapid Growth as Network Security Leads 2024 Expansion

 

The integration of artificial intelligence into cybersecurity solutions has accelerated dramatically, driving the global market to an estimated value of $32.5 billion in 2024. This surge—an annual growth rate of 23%—reflects organizations’ urgent need to defend against increasingly sophisticated cyber threats. Traditional, signature-based defenses are no longer sufficient; today’s adversaries employ polymorphic malware, fileless attacks, and automated intrusion tools that can evade static rule sets. AI’s ability to learn patterns, detect anomalies in real time, and respond autonomously has become indispensable. 

Among AI-driven cybersecurity segments, network security saw the most significant expansion last year, accounting for nearly 40% of total AI security revenues. AI-enhanced intrusion prevention systems and next-generation firewalls leverage machine learning models to inspect vast streams of traffic, distinguishing malicious behavior from legitimate activity. These solutions can automatically quarantine suspicious connections, adapt to novel malware variants, and provide security teams with prioritized alerts—reducing mean time to detection from days to mere minutes. As more enterprises adopt zero-trust architectures, AI’s role in continuously verifying device and user behavior on the network has become a cornerstone of modern defensive strategies. 

Endpoint security followed closely, representing roughly 25% of the AI cybersecurity market in 2024. AI-powered endpoint detection and response (EDR) platforms monitor processes, memory activity, and system calls on workstations and servers. By correlating telemetry across thousands of devices, these platforms can identify subtle indicators of compromise—such as unusual parent‑child process relationships or command‑line flags—before attackers achieve persistence. The rise of remote work has only heightened demand: with employees connecting from diverse locations and personal devices, AI’s context-aware threat hunting capabilities help maintain comprehensive visibility across decentralized environments. 

Identity and access management (IAM) solutions incorporating AI now capture about 20% of the market. Behavioral analytics engines analyze login patterns, device characteristics, and geolocation data to detect risky authentication attempts. Rather than relying solely on static multi‑factor prompts, adaptive authentication methods adjust challenge levels based on real‑time risk scores, blocking illicit logins while minimizing friction for legitimate users. This dynamic approach addresses credential stuffing and account takeover attacks, which accounted for over 30% of cyber incidents in 2024. Cloud security, covering roughly 15% of the AI cybersecurity spend, is another high‑growth area. 

With workloads distributed across public, private, and hybrid clouds, AI-driven cloud security posture management (CSPM) tools continuously scan configurations and user activities for misconfigurations, vulnerable APIs, and data‑exfiltration attempts. Automated remediation workflows can instantly correct risky settings, enforce encryption policies, and isolate compromised workloads—ensuring compliance with evolving regulations such as GDPR and CCPA. 

Looking ahead, analysts predict the AI in cybersecurity market will exceed $60 billion by 2028, as vendors integrate generative AI for automated playbook creation and incident response orchestration. Organizations that invest in AI‑powered defenses will gain a competitive edge, enabling proactive threat hunting and resilient operations against a backdrop of escalating cyber‑threat complexity.
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Sensitive data
Cloud Security Cyber Attacks Data Theft Employee Training enterprise cybersecurity fake ads Malicious Ads ransomware attacks Ransomwares Sensitive data

Employee Monitoring Tool Kickidler Targeted in Ransomware Attacks

 

Cybersecurity researchers have discovered that cybercriminals are misusing a legitimate employee monitoring tool called Kickidler to execute targeted ransomware attacks. Originally developed to help businesses track productivity and ensure compliance, Kickidler offers features like real-time screen monitoring, keystroke logging, and activity tracking—functionalities that have now become attractive tools for threat actors. Security firms Varonis and Synacktiv have reported observing these attacks actively taking place. 

The attack campaign begins with malicious advertisements placed on the Google Ads network. These ads are cleverly designed to trick users searching for a legitimate utility called RVTools—a free Windows application used to connect to VMware vCenter or ESXi environments. Victims are lured into downloading a trojanized version of RVTools, which secretly installs a backdoor named SMOKEDHAM. Once SMOKEDHAM gains access to the system, attackers use it to deploy Kickidler, with a focus on targeting enterprise administrators. 

By infiltrating admin machines, the attackers can monitor keystrokes and capture sensitive data, such as credentials for off-site backups or cloud platforms. This method allows them to bypass more secure authentication systems that are often separated from Windows domains, a common defense strategy in many organizations. According to the researchers, the ransomware groups Qilin and Hunters International have been leveraging this approach to expand their reach within enterprise networks. 

These groups appear to be focusing on cloud backup systems and VMware ESXi infrastructure. Hunters International, in particular, was observed using VMware PowerCLI and WinSCP Automation tools to enable SSH access, deploy ransomware, and execute it on ESXi servers. Their payloads encrypted VMDK virtual hard disks, disrupting operations and access to virtual environments. 

One of the most concerning aspects of this campaign is how stealthily it operates. By capturing data directly from administrators’ screens and inputs, the attackers avoid using higher-risk tactics like memory dumps or privilege escalation, which are more likely to be flagged by security systems. The misuse of Kickidler demonstrates a growing trend of cybercriminals weaponizing legitimate enterprise tools to bypass traditional defenses and maintain stealth within targeted networks. 

These attacks highlight the need for increased vigilance around software downloads, especially from third-party sources, and reinforce the importance of strong endpoint protection, regular software audits, and employee awareness training. 

As cyberattacks grow more sophisticated, defenders must adapt by tightening controls, decoupling critical system access from everyday credentials, and monitoring for unusual activity—even from tools considered safe.
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Technology
Cloud Security Cryptojacking Cybersecurity Threats Google Cloud MFA Raccoon Stealer Ransomware Technology

TRIPLESTRENGTH Targets Cloud for Cryptojacking, On-Premises Systems for Ransomware Attacks

 

Google unveiled a financially driven threat actor, TRIPLESTRENGTH, targeting cloud environments for cryptojacking and on-premise ransomware operations.

"This actor engaged in a variety of threat activity, including cryptocurrency mining operations on hijacked cloud resources and ransomware activity," Google Cloud noted in its 11th Threat Horizons Report.

TRIPLESTRENGTH employs a three-pronged attack strategy: unauthorized cryptocurrency mining, ransomware deployment, and offering cloud platform access—spanning services like Google Cloud, AWS, Azure, Linode, OVHCloud, and Digital Ocean—to other attackers. The group's primary entry methods involve stolen credentials and cookies, often sourced from Raccoon Stealer logs. Compromised environments are used to create compute resources for mining cryptocurrency using tools like the unMiner application and the unMineable mining pool, optimized for both CPU and GPU algorithms.

Interestingly, TRIPLESTRENGTH has concentrated its ransomware efforts on on-premises systems, deploying lockers such as Phobos, RCRU64, and LokiLocker.

"In Telegram channels focused on hacking, actors linked to TRIPLESTRENGTH have posted advertisements for RCRU64 ransomware-as-a-service and also solicited partners to collaborate in ransomware and blackmail operations," Google Cloud disclosed.

One notable incident in May 2024 involved initial access through Remote Desktop Protocol (RDP), followed by lateral movement and antivirus evasion to execute ransomware across several systems. TRIPLESTRENGTH also regularly advertises access to compromised servers on Telegram, targeting hosting providers and cloud platforms.

To counteract such threats, Google has introduced multi-factor authentication (MFA) and improved logging for detecting sensitive billing actions.

"A single stolen credential can initiate a chain reaction, granting attackers access to applications and data, both on-premises and in the cloud," Google warned. 

"This access can be further exploited to compromise infrastructure through remote access services, manipulate MFA, and establish a trusted presence for subsequent social engineering attacks."
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Threat actors
beIN Sports Cloud Security Cyber Attacks data analysis FFmpeg Hackers Jupyter Notebooks live streaming sports piracy stream ripping Threat actors

Hackers Exploit Jupyter Notebooks for Sports Piracy Through Stream Ripping Tools

 

Malicious hackers are taking advantage of misconfigured JupyterLab and Jupyter Notebooks to facilitate sports piracy through live stream capture tools, according to a report by Aqua Security shared with The Hacker News.

The attack involves hijacking unauthenticated Jupyter Notebooks to gain initial access and execute a series of steps aimed at illegally streaming sports events. This activity was uncovered during an investigation into attacks on Aqua's honeypots.

"First, the attacker updated the server, then downloaded the tool FFmpeg," explained Assaf Morag, director of threat intelligence at Aqua Security. "This action alone is not a strong enough indicator for security tools to flag malicious activity."

Morag noted that the attackers then executed FFmpeg to capture live sports streams, redirecting them to their server. The campaign’s ultimate objective is to download FFmpeg from MediaFire, capture live feeds from Qatari network beIN Sports, and rebroadcast the content illegally via ustream[.]tv. This tactic allows the attackers to misuse compromised Jupyter Notebook servers as intermediaries while profiting from advertising revenues linked to the unauthorized streams.

Although the identity of the hackers remains unclear, one of the IP addresses used (41.200.191[.]23) suggests they may originate from an Arabic-speaking region.

"However, it's crucial to remember that the attackers gained access to a server intended for data analysis, which could have serious consequences for any organization's operations," Morag added.

He warned that the risks extend beyond piracy, potentially leading to denial-of-service attacks, data manipulation, theft, corruption of AI and ML processes, lateral movement within critical systems, and severe financial and reputational harm.
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PwC
Cloud Security Cyber Security Cyber Security Threats Cyberattacks CyberCrime Cyberhackers CyberThreat Firewalls PwC

Cloud Security Challenges Catch Executives Off Guard

 


It is no secret that cloud computing is efficient and scalable, however, they do come with a price tag. Many top executives are concerned about specific security threats faced by cloud environments, and these are also the ones they are least prepared to deal with, as these are the risk areas that top executives are most concerned about. 

A new report by PwC, released today, indicates that cloud threats are the highest security concern for the majority of business leaders surveyed (42 per cent) said they feel threatened by cloud threats. In response to the PwC survey, a total of 4,020 respondents were surveyed. Of those surveyed, 38 per cent cited hacking and leak operations, 35 per cent named third-party breaches, 33 per cent cited attacks on connected products, and 27 per cent cited ransomware. 

There is an extensive array of policies, technologies, applications, and controls that are part of cloud computing security and are designed to safeguard applications, services, and the underlying cloud infrastructure when using cloud computing.  In the cloud, a system's security is only as strong as its weakest link, which means that to ensure data and applications are protected from all angles, multiple technologies need to work together to offer an effective system of protection.

In such instances, firewalls, identity management, network segmentation, and encryption are all common solutions that are included as part of this process. It is predicted that businesses will face a security issue as a bigger threat in 2024 and that cybercriminals will not operate selectively with their targets. In the absence of any precautionary measures, the following threats are the most likely to cause harm to users' organization, making them the most important threat to avoid or mitigate.

As it might come as a surprise, all of the threats listed in executives' top five most concerning reasons are also among the threats organizations believe are least prepared to address, though not exactly in the order in which they would like them to be addressed. The number of cloud-based attacks is the highest, and people are least prepared for them (42/34 per cent), whereas attacks on connected products are ranked second (31 per cent) in terms of defence preparedness with regards to cloud-based attacks.

It is a little surprising that third-party breaches followed just behind (28 per cent), while executives felt equally unprepared to deal with hacks-and-leak operations, as well as ransomware, which ranked 25 per cent of the time as the least prepared. "Although the cybersecurity landscape continues to evolve, organizations are still grappling with increasing instability and ambiguity when it comes to threats." reads the report, which was released before publication, but was previously available as a preview. 

"The increasing reliance on cloud, artificial intelligence, connected devices, and third parties means that enterprises must be agile and take a comprehensive approach to resilience. To maintain security and continuity of business, organizations need to align their priorities and readiness." There was a surprising finding by PwC in terms of business leaders who have a regulatory or legal requirement to improve security, and they do so in fact. 

Indeed, 96 per cent of organizations reported that regulations prompted them to improve their security, while 78 per cent of those organizations reported that the same regulations prompted them to change how they managed their security. With the advent of new regulations such as the Data Protection Act, the Cyber Resilience Act, and the NIS2 Directive - whose compliance deadline is in a few weeks in the process - organizations will have to meet more obligations when it comes to cybersecurity in addition to existing regulations such as GDPR. 

As a result, organizations that adopt regulations tend to have stronger security frameworks and will be better positioned to deal with emerging threats, according to a new PwC report. Unlike most compliance programs, compliance isn't just about checking boxes, but about building long-term resilience and trust with stakeholders rather than about spending time ticking them off." In addition to the new regulations, these regulations have also led to an increase in cybersecurity investments. In terms of cyber investments, roughly a third (32 per cent) of companies reported a "large" increase in the past 12 months compared to the year before. 

The percentage of people who said investment increased to a "moderate extent" was much greater than the percentage of people who said the investment increased significantly. A report published by the American Institute of CIOs notes that as regulations continue to modify the cybersecurity landscape, executives across the entire C-suite need to be aware of compliance issues and take advantage of regulations as a catalyst for innovation.  

As a result, integrity management teams, risk functions, and executive management teams must coordinate their efforts to advance compliance readiness and drive strategic improvements. As a cloud computing device, cloud computing will maintain its x-factor when it comes to affordability, scalability, and flexibility over the years, no matter what industry the person is in.  

There is no doubt that cloud computing will continue to grow in popularity, but it introduces new obstacles to security in the future.  Several methods are recommended to ensure users' cloud's security, including multi-factor authentication (MFA), end-to-end encryption, strong passwords, application controls, malware prevention, continuous monitoring, and testing. Sprinto is a company that specializes in solving problems like these.

In Sprinto, there is an integrated GRC software that can be used along with any cloud service users already have in place to give them a complete GRC solution. Sprinto is a company that is strong on safety, which is one of the reasons that it believes continuous compliance is closely related to security. The company's multi-cloud security features provide proof that Sprinto holds this belief to be true. 

It is their job to keep an eye on users' technology stacks around the clock to protect them against cyber threats, whether that be if they manage a complex cloud setup or just one cloud environment in the cloud. It is Sprinto's continuous monitoring and automated checks that enable users to manage security risks most efficiently and effectively, thereby always protecting their business data and applications.
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