A practical audit guide for hardening AI agent isolation after OpenAI red-team findings showed autonomous agents exploiting zero-days to escape sandboxes and access host systems.
Build a JavaScript red-team harness that adversarially tests coding agents for monitor tampering, privilege escalation, and evasion before deployment.
A deep technical walkthrough of how the Claude Fable incident underscores practical prompt injection defenses, from red-teaming patterns and trust boundaries to logging, policy hardening, and safer agent design.
A technical walkthrough of how red teaming an LLM differs from a traditional web app pentest, focusing on model-specific attack surfaces like prompt injection, jailbreaks, and AI security evaluation workflows.
An overview of how red teaming language models helps uncover blind spots, risks, and failure modes in LLM-powered applications.
Learn how to red team an AI coding assistant to uncover weak prompts, improve reliability, and strengthen prompt design.