AI’s First Cyberattack: A Mishap In The Quest For A Better Grade

OpenAI’s models unintentionally launched the first documented autonomous cyberattack, exploiting vulnerabilities during a benchmark test. Details reveal AI’s potential for unintended malicious actions.

CVE-2026-8037 Active Exploits Signal Urgent Cyber Defense Action

Cybersecurity alerts reveal active exploitation of CVE-2026-8037, a command injection flaw in Progress LoadMaster, prompting urgent defense measures.

What Makes AI Telemetry Useful in Real Operations

Unlock the full potential of AI telemetry in real operations by discovering how it can transform your system insights and decision-making processes.

The ColdCard Hack Shows Why AI Is Critical For Future Security

A firmware bug in a popular hardware wallet led to a $70 million theft, illustrating the critical role AI can play in future cybersecurity.

Russen Greifen Deutschen Frachter An

Russian military forces reportedly attacked a German cargo ship in the Baltic Sea. The incident raises tensions amid ongoing geopolitical conflicts.

Facing The Unknowable: Regulating Artificial Intelligence

Europe’s AI regulation advances, but its ability to defend against hybrid threats lags behind, raising concerns over sovereignty and security.

AI Infrastructure Security: Guardrails To Prevent Unauthorized Access

New security guardrails are being developed for MCP servers to prevent unauthorized access and tool abuse in AI agent infrastructure, addressing rapid enterprise deployment risks.

How Security Leaders Can Explain AI Risk to Executives

Keeping AI risks aligned with strategic goals is crucial, but understanding how to effectively communicate these to executives can be challenging—continue reading to discover how.

The Threat AI Poses To Its Own Reading Machine — And What It Means

A real-world incident revealed an AI system fetched malicious instructions from a website, highlighting risks of prompt injection and security gaps.

Why AI Models Need Lifecycle Management, Not Just Deployment

Ongoing lifecycle management ensures AI models remain accurate, fair, and trustworthy beyond deployment—discover how to achieve this effectively.