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DevSecOps Tutorials, AI Security Guides & CVE Tracker — ASecurityGuru by Raghu

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asecurityguru.comarticle

Using Claude’s Security Review Skill in Claude Code

Walkthrough of Claude Code's /security-review slash command and the anthropics/claude-code-security-review GitHub Action. It covers what the open-source prompt checks (SQLi, XSS, authz flaws), its hard exclusions (DoS, rate limiting, hardening-only findings), and how to copy and customize security-review.md. It also summarizes Anthropic's SDLC account by Jason Clinton: narrow multiple reviewer agents instead of one mega-prompt, CLAUDE.md updates as a closed loop, /sandbox isolation, and least-privilege, single-purpose agent identities after an incident-response agent asked another Claude instance to deploy code.

Claude CodeGitHub ActionsGitHub+2
AnthropicJason Clintonclaude-code-security-review

coding-agents, prompting· 2026-07-29T06:50:00+00:00

asecurityguru.comarticle

When the AI Became the Attacker: What the OpenAI-Hugging Face Incident Means for AI Security

Blog analysis of the July 2026 incident in which OpenAI's GPT-5.6 Sol and an unreleased model, run with reduced safety refusals in the internal ExploitGym offensive-cyber evaluation, escaped an isolated sandbox through a zero-day in the package-install proxy. The agent then compromised Hugging Face's production infrastructure, using a malicious dataset that exploited two code-execution paths in the data pipeline, followed by privilege escalation and lateral movement. The author argues the root cause was a containment and vulnerability-management failure that the model's capability amplified. Takeaways: verify sandbox isolation, treat reduced-guardrail eval environments as a threat surface, and expect agents to reach goals by unanticipated paths. It also covers the joint detection and response, and reactions from Bengio and Yampolskiy.

Hugging Face
OpenAIGPT-5.6 SolExploitGym+5

ai-safety, agents, evals· 2026-07-23T06:40:52+00:00