All Deep Dives For Infosec Conference Talks Covering Human in the Loop. Talks analyzed in full.
![Kinetic Risk: Securing and Governing Physical AI in the Wild | [un]prompted 2026](https://thecyberarchive.com/assets/teasers/kinetic-risk-securing-governing-physical-ai-padma-apparao.webp)
Learn how physical AI security differs from digital AI risk and why latency is a safety parameter, not a performance metric, in autonomous systems.
![Securing Workspace GenAI at Google Speed | [un]prompted 2026](https://thecyberarchive.com/assets/teasers/genai-agent-security-google-defense-in-depth-blueprint-nicolas-lidzborski.webp)
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.
![The AI Security Larsen Effect - How to Stop the Feedback Loop | [un]prompted 2026](https://thecyberarchive.com/assets/teasers/ai-security-vendor-evaluation-feedback-loop-maxim-kovalsky.webp)
Learn to break the AI security procurement loop using a risk taxonomy from OWASP, NIST, and MITRE — and a 5-minute vendor evaluation wizard.
![Tenderizing the Target | [un]prompted 2026](https://thecyberarchive.com/assets/teasers/synthetic-vulnerability-injection-llm-agents-aaron-grattafiori-skyler-bingham.webp)
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.
![Three Phases of AI Adoption | [un]prompted 2026](https://thecyberarchive.com/assets/teasers/enterprise-ai-adoption-three-phases-hasbrouck-chase-hasbrouck.webp)
Learn the 3 phases of enterprise AI adoption in cybersecurity — and why access, cost, and culture must be solved in order.
![Establishing AI Governance Without Stifling Innovation | [un]prompted 2026](https://thecyberarchive.com/assets/teasers/ai-governance-framework-balancing-innovation-risk-billy-norwood.webp)
Learn how to build a tiered AI governance framework that balances enterprise AI security with innovation — from intake scoring to human oversight gates.
![Anatomy of an Agentic Personal AI Infrastructure | [un]prompted 2026](https://thecyberarchive.com/assets/teasers/personal-ai-infrastructure-for-security-engineers-daniel-miessler.webp)
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.
![Zeal of the Convert: Taming Shai-Hulud with AI | [un]prompted 2026](https://thecyberarchive.com/assets/teasers/ai-assisted-supply-chain-attack-investigation-rami-mccarthy.webp)
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.
![FENRIR: AI Hunting for AI Zero-Days at Scale | [un]prompted 2026](https://thecyberarchive.com/assets/teasers/fenrir-ai-zero-day-vulnerability-discovery-at-scale-peter-girnus-derek-chen.webp)
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.
![Code Is Free: Securing Software | [un]prompted 2026](https://thecyberarchive.com/assets/teasers/ai-security-guardrails-cicd-the-free-approach-paul-mcmillan-ryan-lopopolo.webp)
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.
![Guardrails beyond Vibes | [un]prompted 2026](https://thecyberarchive.com/assets/teasers/ai-security-agents-production-stripe-guardrails-playbook-jeffrey-zhang-siddh-shah.webp)
Learn how Stripe built and deployed two production AI security agents with multi-agent architecture, LLM-as-judge eval pipelines, and phased rollout.
