AI Red Team Engineering notes, research references, and field notes on AI systems, responsible AI, governance, and compliance.
Global search

Search AI Red Team

Search across the complete knowledge base.

Enter at least two characters to begin.
↑↓ select Enter open Browse the full research archive
The Hacker News AI Security · August 7, 2026

Claude Code and Gemini CLI Flaws Let a GitHub Issue Reach CI Workflow Secrets

news Agent SecurityPrompt InjectionAI Red Teaming
Why it matters

Novee Security found that unprivileged GitHub issues could reach privileged coding-agent workflows: Gemini CLI and Claude Code paths led to CI-runner code execution, while a Codex path could alter the next agent run. The two assigned CVEs were patched; the Codex behavior was documented rather than assigned a product CVE, highlighting failures in the surrounding harness rather than the model alone.

My takeaway: Patch Gemini CLI to 0.39.1 or later, run-gemini-cli to 0.1.22 or later, and Claude Code to 2.1.163 or later. Audit every workflow reachable from public issues or pull requests, isolate and de-privilege runners, treat repository instructions as untrusted data, and require a trusted signal outside user-controlled text before privileged automation starts.
Keep exploring

More curated notes connected through Agent Security and Prompt Injection.

OpenAI News · framework

Pacing model development in an era of cyber-critical capabilities

OpenAI says preliminary evidence that Astra may meet its Critical cybersecurity threshold led it to pause frontier reinforcement-learning work for two weeks and keep its largest planned run on hold. New safeguards include stronger workload and network isolation, continuous boundary testing, token-level monitoring that escalates suspicious tool activity, and broader alignment checks for deception, reward hacking, and unauthorized access.

OWASP GenAI Security Project · guide

OWASP Top 10 for Agentic Applications for 2026

OWASP's community guide organizes agentic-system risk into ten categories, including goal hijacking, tool misuse, identity and privilege abuse, memory poisoning, insecure inter-agent communication, cascading failures, and rogue-agent behavior. It provides a shared taxonomy and mitigation starting point rather than a certification checklist or evidence that a deployed system is secure.

OpenAI News · framework

A blueprint for democratic governance of frontier AI

OpenAI proposes a three-part U.S. frontier-AI governance model: harmonize emerging state safety laws into a federal baseline, strengthen CAISI as an evaluation and standards institution, and coordinate a broader resilience program. Proposed controls include severe-risk evaluations, transparency reports, independent audits, safety-incident reporting, model-weight security, whistleblower protection, and periodic technical assessments.