A new benchmark just exposed the dirty secret behind every coding agent. Millions of developers now let AI agents write entire features unsupervised. A Carnegie Mellon paper tested whether that code is safe to ship. The team built SusVibes, a benchmark of 200 real coding
SECURITY
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Anthropic needs certification department for powerful model users
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I think Anthropic needs to build a certification department that audits and approves users of powerful models. Computer security companies, biotech researchers, academic labs, doctors, government institutions need access to the best AI we can build.
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How to Build an AI Governance Framework for Identity
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How to Build an #AI Governance Framework for Identity
by Dustin Sachs @SCMagazine Learn more: https://
bit.ly/4frcLkC #AIAgents #CyberSecurity #InfoSec #IT #Tech #Technology -
AI-powered computer worm poses major cybersecurity threat
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A new #AI-powered computer worm could prove to be the stuff of #CyberSecurity nightmares
by Sharon Goldman @fortunemagazine Learn more: https://
bit.ly/4obzJ1o #InfoSec #IT #Tech #Technology -
AI-Powered SecurOS Detects Explosives Under Vehicles in 3 Seconds
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#AI-Powered SecurOS UVSS Detects Explosives Under Vehicles in Just 3 Seconds
— Ronald van Loon (@Ronald_vanLoon) 11 juin 2026
by @_fluxfeeds
#EmergingTech #Technology #Innovation pic.twitter.com/CxYmJu5YZn#AI-Powered SecurOS UVSS Detects Explosives Under Vehicles in Just 3 Seconds
by @_fluxfeeds #EmergingTech #Technology #Innovation -
DARPA AI Cyber Challenge: multi-agent LLM discovers zero-day vulnerabilities
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At the DARPA AI Cyber Challenge, Team Atlanta from Georgia Institute of Technology demonstrated a multi-agent LLM framework that discovered zero-day vulnerabilities in large codebases and automatically generated, tested, and deployed functional patches without human intervention.… pic.twitter.com/gBxsiw7Jgl
— Lucian Fogoros (@fogoros) 11 juin 2026At the DARPA AI Cyber Challenge, Team Atlanta from Georgia Institute of Technology demonstrated a multi-agent LLM framework that discovered zero-day vulnerabilities in large codebases and automatically generated, tested, and deployed functional patches without human intervention.
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Auto-review becomes default for new users with 97% accuracy
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Auto-review is now the default for all new users. A classifier subagent reviews actions in context before deciding whether to allow, block, or ask for approval. Our evals show it's 97% accurate, with most misses near ambiguous edges.
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Context-aware AI and adaptive governance for data integrity
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Enforcing data integrity at every layer requires a shift towards context-aware AI pipelines. The real evolution is in developing adaptive governance mechanisms that adjust to dynamic threats. As AI scales, proactive security orchestration becomes crucial for sustained trust.
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Shift from Isolated Security to Holistic AI Governance Frameworks
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The shift we're seeing is from isolated security measures to holistic governance frameworks. The real question isn't just ownership, but how to implement a unified strategy for AI security that integrates across all teams. Effective orchestration will be key to maintaining
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Visible cyber/bio refusals vs invisible frontier LLM refusals
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Those were the visible refusals for cyber/bio/etc – it was just the refusals for "frontier LLM development" that were deliberately made invisible