All Deep Dives For Infosec Conference Talks Covering LLM. Talks analyzed in full.
Learn the 3 phases of enterprise AI adoption in cybersecurity — and why access, cost, and culture must be solved in order.
Discover how LLMs now autonomously find and exploit zero-day vulnerabilities in the Linux kernel and Ghost CMS — and what the AI capability curve means for defenders right now.
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 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 attackers embed prompt injections in passport images to hijack AI KYC agents and exfiltrate customer PII at scale.
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 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.