Security Bulletin: IBM Security Verify Governance has multiple vulnerabilities

Summary Multiple security vulnerabilities in the dependent components have been addressed in the latest update to IBM Security Verify Governance. Vulnerability Details CVEID:CVE-2025-39697 DESCRIPTION: In the Linux kernel, the following vulnerability has been resolved: NFS: Fix a race when updati...

Lifecycle-Integrated Security for AI-Cloud Convergence in Cyber-Physical Infrastructure

The convergence of Artificial Intelligence AI inference pipelines with cloud infrastructure creates a dual attack surface where cloud security standards and AI governance frameworks intersect without unified enforcement mechanisms. AI governance, cloud security, and industrial control system...

Is AI Good for Democracy?

Politicians fixate on the global race for technological supremacy between US and China. They debate geopolitical implications of chip exports, latest model releases from each country, and military applications of AI. Someday, they believe, we might see advancements in AI tip the scales in a...

Security Bulletin: IBM Db2 used by IBM Security Verify Governance has multiple vulnerabilities

Summary IBM Security Verify Governance ISVG, now re-branded as IBM Verify Identity Governance IVIG, uses IBM Db2 database. Information about security vulnerabilities affecting IBM Db2 has been published in security bulletins. Vulnerability Details Refer to the security bulletins listed in the...

Agents of Chaos

We report an exploratory red-teaming study of autonomous language-model-powered agents deployed in a live laboratory environment with persistent memory, email accounts, Discord access, file systems, and shell execution. Over a two-week period, twenty AI researchers interacted with the agents unde...

LLM Scalability Risk for Agentic-AI and Model Supply Chain Security

Large Language Models LLMs & Generative AI are transforming cybersecurity, enabling both advanced defenses and new attacks. Organizations now use LLMs for threat detection, code review, and DevSecOps automation, while adversaries leverage them to produce malwares and run targeted social-engineeri...

From Shadow APIs to Shadow AI: How the API Threat Model Is Expanding Faster Than Most Defenses

The shadow technology problem is getting worse. Over the past few years, organizations have scaled microservices, cloud-native apps, and partner integrations faster than corporate governance models could keep up, resulting in undocumented or shadow APIs. We’re now seeing this pattern all over aga...

Cybersecurity Tech Predictions for 2026: Operating in a World of Permanent Instability

In 2025, navigating the digital seas still felt like a matter of direction. Organizations charted routes, watched the horizon, and adjusted course to reach safe harbors of resilience, trust, and compliance. In 2026, the seas are no longer calm between storms. Cybersecurity now unfolds in a state ...

Cybersecurity Excellence Awards Reveal Nomination Shift from AI Hype to Governance Execution

Washington DC, USA, 17th February 2026, CyberNewswire...

Agentic AI for Cybersecurity: A Meta-Cognitive Architecture for Governable Autonomy

Contemporary AI-driven cybersecurity systems are predominantly architected as model-centric detection and automation pipelines optimized for task-level performance metrics such as accuracy and response latency. While effective for bounded classification tasks, these architectures struggle to...

80% of Fortune 500 use active AI Agents: Observability, governance, and security shape the new frontier

Today, Microsoft is releasing the new Cyber Pulse report to provide leaders with straightforward, practical insights and guidance on new cybersecurity risks. One of today’s most pressing concerns is the governance of AI and autonomous agents. AI agents are scaling faster than some companies can s...

80% of Fortune 500 use active AI Agents: Observability, governance, and security shape the new frontier

Today, Microsoft is releasing the new Cyber Pulse report to provide leaders with straightforward, practical insights and guidance on new cybersecurity risks. One of today’s most pressing concerns is the governance of AI and autonomous agents. AI agents are scaling faster than some companies can s...

Aegis: Towards Governance, Integrity, and Security of AI Voice Agents

With the rapid advancement and adoption of Audio Large Language Models ALLMs, voice agents are now being deployed in high-stakes domains such as banking, customer service, and IT support. However, their vulnerabilities to adversarial misuse still remain unexplored. While prior work has examined...

The Buyer’s Guide to AI Usage Control

Today’s “AI everywhere” reality is woven into everyday workflows across the enterprise, embedded in SaaS platforms, browsers, copilots, extensions, and a rapidly expanding universe of shadow tools that appear faster than security teams can track. Yet most organizations still rely on legacy contro...

Detecting backdoored language models at scale

Today, we are releasing new research on detecting backdoors in open-weight language models. Our research highlights several key properties of language model backdoors, laying the groundwork for a practical scanner designed to detect backdoored models at scale and improve overall trust in AI...

To Defend against Cyber Attacks, We Must Teach AI Agents to Hack

For over a decade, cybersecurity has relied on human labor scarcity to limit attackers to high-value targets manually or generic automated attacks at scale. Building sophisticated exploits requires deep expertise and manual effort, leading defenders to assume adversaries cannot afford tailored...

WiFiPenTester: Advancing Wireless Ethical Hacking with Governed GenAI

Wireless ethical hacking relies heavily on skilled practitioners manually interpreting reconnaissance results and executing complex, time-sensitive sequences of commands to identify vulnerable targets, capture authentication handshakes, and assess password resilience; a process that is inherently...

New Microsoft Data Security Index report explores secure AI adoption to protect sensitive data

Generative AI and agentic AI are redefining how organizations innovate and operate, unlocking new levels of productivity, creativity and collaboration across industry teams. From accelerating content creation to streamlining workflows, AI offers transformative benefits that empower organizations ...

Fundamentals, Recent Advances, and Challenges Regarding Cryptographic Algorithms for the Quantum Computing Era

This book arises from the need to provide a clear and up-to-date overview of the impacts of quantum computing on cryptography. The goal is to provide a reference in Portuguese for undergraduate, master's, and doctoral students in the field of data security and cryptography. Throughout the chapter...

Four priorities for AI-powered identity and network access security in 2026

No doubt, your organization has been hard at work over the past several years implementing industry best practices, including a Zero Trust architecture. But even so, the cybersecurity race only continues to intensify. AI has quickly become a powerful tool misused by threat actors, who use it to...