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Why Cybersecurity Threats in 2026 Will Be Harder to See, Faster to Spread, And Easier to Believe

 


The approach to cybersecurity in 2026 will be shaped not only by technological innovation but also by how deeply digital systems are embedded in everyday life. As cloud services, artificial intelligence tools, connected devices, and online communication platforms become routine, they also expand the surface area for cyber exploitation.

Cyber threats are no longer limited to technical breaches behind the scenes. They increasingly influence what people believe, how they behave online, and which systems they trust. While some risks are still emerging, others are already circulating quietly through commonly used apps, services, and platforms, often without users realizing it.

One major concern is the growing concentration of internet infrastructure. A substantial portion of websites and digital services now depend on a limited number of cloud providers, content delivery systems, and workplace tools. This level of uniformity makes the internet more efficient but also more fragile. When many platforms rely on the same backbone, a single disruption, vulnerability, or attack can trigger widespread consequences across millions of users at once. What was once a diverse digital ecosystem has gradually shifted toward standardization, making large-scale failures easier to exploit.

Another escalating risk is the spread of misleading narratives about online safety. Across social media platforms, discussion forums, and live-streaming environments, basic cybersecurity practices are increasingly mocked or dismissed. Advice related to privacy protection, secure passwords, or cautious digital behavior is often portrayed as unnecessary or exaggerated. This cultural shift creates ideal conditions for cybercrime. When users are encouraged to ignore protective habits, attackers face less resistance. In some cases, misleading content is actively promoted to weaken public awareness and normalize risky behavior.

Artificial intelligence is further accelerating cyber threats. AI-driven tools now allow attackers to automate tasks that once required advanced expertise, including scanning for vulnerabilities and crafting convincing phishing messages. At the same time, many users store sensitive conversations and information within browsers or AI-powered tools, often unaware that this data may be accessible to malware. As automated systems evolve, cyberattacks are becoming faster, more adaptive, and more difficult to detect or interrupt.

Trust itself has become a central target. Technologies such as voice cloning, deepfake media, and synthetic digital identities enable criminals to impersonate real individuals or create believable fake personas. These identities can bypass verification systems, open accounts, and commit fraud over long periods before being detected. As a result, confidence in digital interactions, platforms, and identity checks continues to decline.

Future computing capabilities are already influencing present-day cyber strategies. Even though advanced quantum-based attacks are not yet practical, some threat actors are collecting encrypted data now with the intention of decrypting it later. This approach puts long-term personal, financial, and institutional data at risk and underlines the need for stronger, future-ready security planning.

As digital and physical systems become increasingly interconnected, cybersecurity in 2026 will extend beyond software and hardware defenses. It will require stronger digital awareness, better judgment, and a broader understanding of how technology shapes risk in everyday life.

Rewiring OT Security: AI Turns Data Overload into Smart Response

 

Artificial intelligence is fundamentally transforming operational technology (OT) security by shifting the focus from reactive alerts to actionable insights that strengthen industrial resilience and efficiency.

OT environments—such as those in manufacturing, energy, and utilities—were historically designed for reliability, not security. As they become interconnected with IT networks, they face a surge of cyber vulnerabilities and overwhelming alert volumes. Analysts often struggle to distinguish critical threats from noise, leading to alert fatigue and delayed responses.

AI’s role in contextual intelligence

The adoption of AI is helping bridge this gap. According to Radiflow’s CEO Ilan Barda, the key lies in teaching AI to understand industrial context—assessing the relevance and priority of alerts within specific environments. 

Radiflow’s new Radiflow360 platform, launched at the IT-SA Expo, integrates AI-powered asset discovery, risk assessment, and anomaly detection. By correlating local operational data with public threat intelligence, it enables focused incident management while cutting alert overload dramatically—improving resource efficiency by up to tenfold.

While AI enhances responsiveness, experts warn against overreliance. Barda highlights that AI “hallucinations” or inaccuracies from incomplete data still require human validation. 

Fujitsu’s product manager Hill reinforces this, noting that many organizations remain cautious about automation due to IT-OT communication gaps. Despite progress, widespread adoption of AI in OT security remains uneven; some firms use predictive tools, while others still react post-incident.

Double-edged nature of AI

AI’s dual nature poses both promise and peril. It boosts defenses through faster detection and automation but also enables adversaries to launch more precise attacks. Incomplete asset inventories further limit visibility—without knowing what devices exist, even the most advanced AI models operate with partial awareness. Experts agree that comprehensive visibility is foundational to AI success in OT.

Ultimately, the real evolution is philosophical: from detecting every alert to discerning what truly matters. AI is bridging the IT-OT divide, enabling analysts to interpret complex industrial signals and focus on risk-based priorities. The goal is not to replace human expertise but to amplify it—creating security ecosystems that are scalable, sustainable, and increasingly proactive.

Andesite AI Puts Human Analysts at the Center of Cybersecurity Innovation

 

Andesite AI Inc., a two-year-old cybersecurity startup, is reimagining how human expertise and artificial intelligence can work together to strengthen digital defense. Founded by former CIA officers Brian Carbaugh and William MacMillan, the company aims to counter a fragmented cybersecurity landscape that prioritizes technology over the people who operate it. Carbaugh, who spent 24 years at the CIA leading its Global Covert Action unit, said his experience showed him both the power and pitfalls of a technology-first mindset. He noted that true security efficiency comes when teams have seamless access to information and shared intelligence — something still missing in most cybersecurity ecosystems.  

MacMillan, Andesite’s chief product officer, echoed that sentiment. After two decades at the CIA and a leadership role at Salesforce Inc., he observed that Silicon Valley’s focus on building flashy “blinky boxes” has often ignored the needs of cybersecurity operators. He believes defenders should be treated like fighter pilots of the digital age — skilled professionals equipped with the best possible systems, not burdened by cumbersome tools and burnout. 

As generative AI becomes a double-edged sword in cybersecurity, the founders warn that attackers are increasingly using AI to automate exploits and identify vulnerabilities faster than ever. MacMillan cautioned that “the weaponization of gen AI by bad actors is going to be gnarly,” emphasizing the need for defense teams to be equally equipped and adaptable. 

To meet this challenge, Andesite AI has designed a platform that centers on human decision-making. Instead of replacing staff, it provides a “decision layer” that connects with an organization’s existing security tools, harmonizes data, and uses what MacMillan calls “evidentiary AI.” This system explains its reasoning as it correlates alerts, prioritizes threats, and recommends next steps, offering transparency that traditional AI systems often lack. The software can be deployed flexibly — from SaaS models to secure on-premises environments — ensuring adaptability across industries. 

By eliminating the need for analysts to switch between multiple dashboards or write complex queries, Andesite’s technology allows staff to engage with the system in natural language. Analysts can ask questions and receive context-rich insights in real time. The company claims that one workflow, previously requiring 1,000 analyst hours, was reduced to under three minutes using its platform. 

Backed by $38 million in funding, including a $23 million round led by In-Q-Tel Inc., Andesite AI’s client base spans government agencies and private enterprises. Named after a durable igneous rock, the startup plans to expand beyond its AI for Security Operations Centers into areas like fraud detection and risk management. For now, Carbaugh says their focus remains on “delivering absolute white glove excellence” to early adopters as they redefine how humans and AI collaborate in cybersecurity.

AI is Accelerating India's Healthtech Revolution, but Data Privacy Concerns Loom Large

 

India’s healthcare, infrastructure, is undergoing a remarkable digital transformation, driven by emerging technologies like artificialintelligence (AI), machinelearning, and bigdata. These advancements are not only enhancing accessibility and efficiency but also setting the foundation for a more equitable health system. According to the WorldEconomicForum (WEF), AI is poised to account for 30% of new drug discoveries by 2025 — a major leap for the pharmaceutical industry.

As outlined in the Global Outlook and Forecast 2025–2030, the market for AI in drugdiscovery is projected to grow from $1.72 billion in 2024 to $8.53 billion by 2030, clocking a CAGR of 30.59%. Major tech players like IBMWatson, NVIDIA, and GoogleDeepMind are partnering with pharmaceutical firms to fast-track AI-led breakthroughs.

Beyond R&D, AI is transforming clinical workflows by digitising patientrecords and decentralising models to improve diagnostic precision while protecting privacy.

During an interview with AnalyticsIndiaMagazine (AIM), Rajan Kashyap, Assistant Professor at the National Institute of Mental Health and Neuro Sciences (NIMHANS), shared insights into the government’s push toward innovation: “Increasing the number of seats in medical and paramedical courses, implementing mandatory rural health services, and developing Indigenous low-cost MRI machines are contributing significantly to hardware development in the AI innovation cycle.”

Tech-Driven Healthcare Innovation

Kashyap pointed to major initiatives like the GenomeIndia project, cVEDA, and the AyushmanBharatDigitalMission as critical steps toward advancing India’s clinical research capabilities. He added that initiatives in genomics, AI, and ML are already improving clinicaloutcomes and streamlining operations.

He also spotlighted BrainSightAI, a Bengaluru-based startup that raised $5 million in a Pre-Series A round to scale its diagnostic tools for neurological conditions. The company aims to expand across Tier 1 and 2 cities and pursue FDA certification to access global healthcaremarkets.

Another innovator, Niramai Health Analytics, offers an AI-based breast cancer screening solution. Their product, Thermalytix, is a portable, radiationfree, and cost-effective screening device that is compatible with all age groups and breast densities.

Meanwhile, biopharma giant Biocon is leveraging AI in biosimilar development. Their work in predictivemodelling is reducing formulation failures and expediting regulatory approvals. One of their standout contributions is Semglee, the world’s first interchangeablebiosimilar insulin, now made accessible through their tie-up with ErisLifesciences.

Rising R&D costs have pushed pharma companies to adopt AI solutions for innovation and costefficiency.

Data Security Still a Grey Zone

While innovation is flourishing, there are pressing concerns around dataprivacy. A report by Netskope Threat Labs highlighted that doctors are increasingly uploading sensitive patient information to unregulated platforms like ChatGPT and Gemini.

Kashyap expressed serious concerns about lax data practices:

“During my professional experience at AI labs abroad, I observed that organisations enforced strict data protection regulations and mandatory training programs…The use of public AI tools like ChatGPT or Gemini was strictly prohibited, with no exceptions or shortcuts allowed.”

He added that anonymised data is still vulnerable to hacking or reidentification. Studies show that even brainscans like MRIs could potentially reveal personal or financial information.

“I strongly advocate for strict adherence to protected data-sharing protocols when handling clinical information. In today’s landscape of data warfare, where numerous companies face legal action for breaching data privacy norms, protecting health data is no less critical than protecting national security,” he warned.

Policy Direction and Regulatory Needs

The Netskope report recommends implementing approved GenAI tools in healthcare to reduce “shadow AI” usage and enhance security. It also urges deploying datalossprevention (DLP) policies to regulate what kind of data can be shared on generative AI platforms.

Although the usage of personal GenAI tools has declined — from 87% to 71% in one year — risks remain.

Kashyap commented on the pace of India’s regulatory approach:

“India is still in the process of formulating a comprehensive data protection framework. While the pace may seem slow, India’s approach has traditionally been organic, carefully evolving with consideration for its unique context.”

He also pushed for developing interdisciplinary medtech programs that integrate AIeducation into medicaltraining.

“Misinformation and fake news pose a significant threat to progress. In a recent R&D project I was involved in, public participation was disrupted due to the spread of misleading information. It’s crucial that legal mechanisms are in place to counteract such disruptions, ensuring that innovation is not undermined by false narratives,” he concluded.

Critical Infrastructure at Risk: Why OT-IT Integration is Key to Innovation and Cybersecurity

 

As cyberattacks grow more advanced, targeting the essential systems of modern life—from energy pipelines and manufacturing plants to airports and telecom networks—governments are increasing pressure on industries to fortify their digital and physical defenses.

A series of high-profile breaches, including the shutdown of Seattle’s port and airport and disruptions to emergency services in New York, have triggered calls for action. As early as 2020, agencies like the NSA and CISA urged critical infrastructure operators to tighten their cybersecurity frameworks.

Despite this, progress has been gradual. Many businesses remain hesitant due to perceived costs. However, experts argue that merging operational technology (OT)—which controls physical equipment—with information technology (IT)—which manages digital systems—offers both protection and growth potential.

This fusion not only enhances reliability and minimizes service interruptions, but also creates opportunities for innovation and revenue generation, as highlighted by experts in a recent conversation with CIO Upside.

“By integrating (Internet-of-Things) and OT systems, you gain visibility into processes that were previously opaque,” Sonu Shankar, chief product officer at Phosphorus, told CIO Upside. Well-managed systems are a “launchpad for innovation,” said Shankar, allowing enterprises to make use of raw operational data.

“This doesn’t just facilitate operational efficiencies — it would potentially generate new revenue streams born from integrated visibility,” Shankar added.

Understanding OT and Its Role

Operational technology refers to any hardware or system essential to a business’s core services—such as factory machinery, production lines, logistics hubs, and even connected office devices like smart printers.

Upgrading these legacy systems might seem overwhelming, particularly for industries reliant on outdated hardware. But OT-IT convergence doesn’t have to be expensive. In fact, several affordable and scalable solutions already exist.

Technologies such as network segmentation, zero trust architecture, and cloud-based OT-IT platforms provide robust protection and visibility:

Network segmentation breaks a primary network into smaller, isolated units—making it harder for unauthorized users to access critical systems.

Zero trust security continuously verifies users and devices, reducing the risks posed by human error or misconfigurations.

Cloud platforms offer centralized insights, historical logs, automated system upkeep, and AI-powered threat detection—making it easier to anticipate and prevent cyber threats.

Fused OT-IT environments lay the groundwork for faster product development and better service delivery, said James McQuiggan, security awareness advocate at KnowBe4.

“When OT and IT systems can communicate effectively and securely across multiple platforms and teams, the development cycle is more efficient and potentially brings products or services to market faster,” he said. “For CIOs, they are no longer just supporting the business, but shaping what it will become.”

As digital threats escalate and customer expectations rise, the integration of OT and IT is no longer optional—it’s a strategic imperative for security, resilience, and long-term growth

BitcoinOS to Introduce Alpha Mainnet for Digital Ownership Platform

 

BitcoinOS and Sovryn founder Edan Yago is creating a mechanism to turn Bitcoin into a digital ownership platform. Growing up in South Africa and coming from a family of Holocaust survivors, Yago's early experiences sneaking gold coins out of the nation between the ages of nine and eleven influenced his opinion that having financial independence is crucial for both human dignity and survival. 

"Money is power, and power is freedom," Yago explains. "Controlling people's access to capital means controlling their freedom. That's why property rights are critical. This conviction drives his work on BitcoinOS, which seeks to establish a foundation for digital property rights independent of governments or companies. 

Yago sees technology as the fundamental cause of societal transformation. He argues that the Industrial Revolution made slavery economically unviable, not a sudden moral awakening. However, he warns that technology needs direction, referencing how the internet morphed from a promise of decentralisation to a system dominated by industry titans.

When Yago uncovered Bitcoin in 2011, he saw it as "the missing piece" of digital property rights. Bitcoin introduced a decentralised ledger for ownership records, while Ethereum added smart contracts for decentralised computing, but both have size and efficiency restrictions.

BitcoinOS addresses these issues with zero-knowledge proofs, which enable computations to be confirmed without running on every node. "Instead of putting everything on a blockchain, we only store the proof that a computation happened correctly," Yago tells me. This technique can allow Bitcoin to support numerous types of property, including: real estate, stocks , digital identities, and other assets in Bitcoin's global ledger.

Yago characterises the cryptocurrency business as being in its "teenage years," but believes it will mature over the next decade. His vision goes beyond Bitcoin to embrace digital sovereignty and encryption as ways to better safeguard rights than traditional legal systems. 

BitcoinOS plans to launch its alpha mainnet in the coming months. Yago is optimistic about the project's potential: "We're creating property rights for the digital age." When you comprehend that, everything else comes into place." 

The quest for Bitcoin-based solutions coincides with increased institutional usage. BlackRock, the world's largest asset management, has recently launched its first Bitcoin exchange-traded product in Europe, which is now available on platforms in Paris, Amsterdam, and Frankfurt. This follows BlackRock's success in the United States, where it raised more than $50 billion for similar products.

Jordan Approves Blockchain Technology to Boost Innovation


As part of its initiatives to enhance public services and modernize government processes, Jordan has approved the 2025 Blockchain Technology Policy. The Jordanian Council of Ministers unveiled a new policy to improve service delivery to citizens, cut expenses, and streamline administrative procedures. 

This strategy is an integral part of Jordan's broader goal for digital transformation and economic modernization, which also involves promoting startup growth and developing skills linked to blockchain. 

About Jordan’s blockchain technology policy

The 2025 Blockchain Technology Policy aims to revolutionize public administration by integrating blockchain technology into government operations. According to officials, the objective is to decrease delays in governmental workflows, automate procedures, and validate transactions instantly.

The policy places a high priority on preserving citizens' data. The government intends to employ blockchain's secure infrastructure to protect data privacy and boost public trust in governmental organizations.

Key features

The policy is going to assist startups using blockchain technology. This involves developing chances for businesses and providing workers with the skills required to succeed in blockchain-related industries.

Jordan intends to make government transactions more efficient and accessible to citizens and businesses by leveraging blockchain's capacity to record and verify data instantaneously.

In addition, the blockchain's distributed architecture will generate records that cannot be changed, assuring improved accuracy in government reporting and decreasing errors.

Authorities think it will result in improved oversight of government services.

Impact on economy and infrastructure

Jordan has recently expressed an increased interest in blockchain and Bitcoin. In 2022, Jordan saw an increase in crypto activity as citizens sought solutions to unemployment and other concerns, showing blockchain's ability to address economic issues.

Jordan's blockchain program is part of a broader regional trend of using emerging technologies to enhance government operations.

Syria, for example, revealed plans to regulate Bitcoin [BTC] and automate its currency to stabilize its financial sector and draw foreign investment. In the UAE, Dubai has permitted the expansion of blockchain-based payment systems, while Abu Dhabi has established a legal framework for decentralized solutions.

These initiatives indicate a growing interest in blockchain as a solution to economic and administrative difficulties in the Middle East.

AI's Impact on the Job Market: 12 Million Occupational Transitions by 2030

 

Artificial Intelligence (AI) is set to transform the job market profoundly over the next decade. According to a comprehensive report by McKinsey, AI will result in approximately 12 million occupational transitions by 2030. This shift is anticipated to match the pace of job changes witnessed during the COVID-19 pandemic, marking a significant period of adaptation and evolution in the workforce. Kweilin Ellingrud, a senior partner at McKinsey and director of its Global Institute, shared these critical insights during the firm’s recent media day. 

The demand for skilled professionals in these areas is likely to increase as AI technologies enhance capabilities and create new opportunities for innovation. These roles often involve repetitive tasks, data collection, and basic data processing, making them prime candidates for automation. AI’s ability to handle these functions efficiently means that many of these jobs will likely see a decrease in demand, prompting a significant need for workers in these areas to transition to new roles. 

Ellingrud noted that many roles in these categories are at high risk of automation. This substantial shift underscores the importance of workforce adaptation and the development of new skills to meet the demands of an AI-driven job market. Despite these significant changes, the report, as highlighted by Business Insider, emphasizes that all workers should prepare for some level of adaptation. The widespread adoption of generative AI and traditional automation technologies will impact about 30 percent of tasks in many current jobs. This means that nearly everyone will need to adjust their work practices to accommodate the new technologies, regardless of their industry or job function. Ellingrud emphasized the need for workers to be proactive in adapting to these changes. 

For instance, roles that require complex problem-solving, interpersonal skills, and innovative thinking are less likely to be automated and will remain essential in the AI-augmented job market. Adapting to these changes will require coordinated efforts from businesses, educators, and policymakers. Businesses will need to invest in training programs and provide opportunities for workers to reskill and upskill. Educators will play a critical role in designing curricula that prepare students for the demands of an AI-driven job market, focusing on skills that are less likely to be automated. 

Policymakers will need to create supportive frameworks that facilitate these transitions, including incentives for businesses to invest in workforce development and policies that promote lifelong learning. In conclusion, the rise of AI is set to bring about significant changes in the job market, with around 12 million occupational transitions expected by 2030. 

While certain sectors like healthcare and STEM are poised for growth, many roles involving repetitive tasks are at high risk of automation. This shift necessitates a comprehensive approach to workforce development, emphasizing continuous learning and skill acquisition. Support from businesses, educators, and policymakers will be crucial in facilitating a successful transition, ensuring that the workforce is prepared for the opportunities and challenges of an AI-driven future.