AI Safety

Preparing your security program for AI-accelerated offense

This is a grounded, actionable security playbook from Anthropic's own security engineers, responding to the reality that AI models are collapsing the time between patch publication and exploit availability. It prioritizes closing the patch gap, automating triage, and scanning your own code with the same AI tools attackers will use—all mapped to existing frameworks like SOC 2.

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Teaching Claude Why: Anthropic’s Approach to Fixing Agentic Misalignment

Anthropic explains how they reduced agentic misalignment from 96% to 0% by teaching Claude the principles behind aligned behavior rather than just demonstrating correct actions. The key innovation is using out-of-distribution training data where the AI gives ethical advice to users, combined with constitutional documents and fictional stories of aligned AIs.

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Claude Fable 5 Redeploys After Export Controls Lifted

After export controls on Claude Fable 5 were lifted, Anthropic published a detailed post explaining the jailbreak that triggered the restriction, its new safety classifier that blocks the technique in over 99% of cases, and a proposed industry framework for scoring jailbreak severity on four criteria: capability gain, breadth, ease of weaponization, and discoverability.

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Google Cloud CISO: How AI agents secure the SDLC at machine speed

Google Cloud's CISO details how they've embedded specialized AI agents across the entire SDLC — from design review through fuzz testing and autonomous patching — to counter AI-driven threats at machine speed. The Mantis framework, now partially open source, reduces token overhead by 85% while preserving critical code context, and a self-reflection loop continuously improves agent performance.

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