All Deep Dives For Infosec Conference Talks Covering Security Automation. Talks analyzed in full.
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 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 to architect a unified Personal AI Infrastructure (PAI) stack with Council multi-agent debate, the PAI algorithm, and Arbo pipelines to amplify your security engineering practice.
Learn how AI workflows, reasoning models, and feedback loops turned a two-week manual investigation into a two-day operation that identified 2,400 supply chain attack victims.
Learn how AI cut a 6-week chip glitching failure to 7 minutes. Discover how LLMs guide EM fault injection and design hardware hacking platforms on a $7 Pico.
Discover how Trend Micro's FENRIR engine chains SAST tools, fast LLM triage, and agentic sandboxes to find 60+ CVEs at $8.80 per true positive.
Learn how AI agents detect authentication bypasses, MFA bypasses, and authorization bugs using validator reuse and auth transmogrification.
Learn how OpenAI engineers built LLM-powered security reviewers, living threat models, and a daily dependency scanner using ~40 lines of GitHub Actions YAML and checked-in Markdown files.
Learn how Stripe built and deployed two production AI security agents with multi-agent architecture, LLM-as-judge eval pipelines, and phased rollout.
Learn how Adobe built a RAG-powered security guidance platform delivering org-specific recommendations across Jira, Slack, and IDE at scale.
Learn why precision and recall fail for autonomous AI security agents — and how rubric-based LLM judge evaluation gives your team a reliable deployment bar.
Discover how Google's Big Sleep and Code Mender use agentic AI to find and patch deep memory safety bugs with zero false positives.
Learn how to build specialized AI security bots and apply generative AI across red team, blue team, and purple team workflows using a proven prompt engineering methodology.