Long-form written analysis — 7,000-word breakdowns with technical detail, citations, and structured takeaways. Not videos. Not summaries. Full articles, by security professionals, free forever.
Learn how physical AI security differs from digital AI risk and why latency is a safety parameter, not a performance metric, in autonomous systems.
Learn how Google's Workspace security team built a defense-in-depth architecture against indirect prompt injection and rogue agent actions in production GenAI systems.
Learn to break the AI security procurement loop using a risk taxonomy from OWASP, NIST, and MITRE — and a 5-minute vendor evaluation wizard.
Learn how activation hooks, cosine similarity, and scalar projection enable behavior-based detection inside LLMs — the glass-box security approach to AI threat detection.
Learn how to build a Cedar-based policy harness that hooks into Gemini CLI, Claude Code, and Cursor to enforce ABAC rules, track PII taint, and block AI agent data exfiltration.
Learn how two offensive security consultants built a production-ready AWS organization from zero — covering OU design, SCPs, IAM, CI/CD, and monitoring on a lean budget.
Learn how NVIDIAs Project Marinade uses LLM coding agents to inject realistic, tunable vulnerabilities into real codebases - giving you ground-truth benchmarks to evaluate your security tools.
Learn to extract real signal from security conference talks by diagnosing hidden predicates, outdated assumptions, and incomplete build-vs-buy framing before they waste your team's time.