All Deep Dives For Infosec Conference Talks Covering Security Operations. Talks analyzed in full.
![Glass-Box Security: Operationalizing Mechanistic Interpretability | [un]prompted 2026](https://thecyberarchive.com/assets/teasers/glass-box-security-mechanistic-interpretability-for-llms-carl-hurd.webp)
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 SuperYARA combines semantic similarity, ML classifiers, and LLM rules to detect prompt injection and GenAI threats at scale — with 99% cost reduction via pre-filtering.
Learn to extract real signal from security conference talks by diagnosing hidden predicates, outdated assumptions, and incomplete build-vs-buy framing before they waste your team's time.
Learn why AI coding tools break EDR detection rules and how to close the intent attribution gap with process ancestry analysis and agent hooks.
![SIFT-FIND EVIL I Gave Claude Code R00t on DFIR SIFT Workstation | [un]prompted 2026](https://thecyberarchive.com/assets/teasers/ai-dfir-14-minutes-claude-code-sift-workstation-rob-t-lee.webp)
Learn how Rob T. Lee gave Claude Code root on the SIFT Workstation and completed a full DFIR investigation — disk image, memory, event logs, MITRE ATT&CK mapping — in under 15 minutes.
![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.
Learn to architect AWS egress controls at scale: centralized Network Firewall, log cost management, allowlist strategy, and bypass mitigations from a real 200-VPC deployment.
![Enterprise AI Governance at Snowflake | [un]prompted 2026](https://thecyberarchive.com/assets/teasers/enterprise-ai-governance-at-scale-snowflakes-model-ragini-ramalingam.webp)
Learn how Snowflake built an enterprise AI governance model that keeps pace with weekly vendor releases and autonomous coding agents — without killing developer productivity.
Learn how Netflix built Yams to close the AWS IAM analysis gap at enterprise scale — and how exposure and efficiency become measurable security KPIs.
![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.
Learn how to secure AWS and GCP cloud environments during M&A integrations — covering IAM Identity Center, GuardDuty, VPC Service Controls, and log continuity.
Learn to close the real security gaps in AWS Bedrock and Azure AI defaults — IAM, guardrails, private networking, and confused deputy risks in agentic pipelines.
![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.
![AI Notetakers: The Most Important Person in the Room | [un]prompted 2026](https://thecyberarchive.com/assets/teasers/ai-notetaker-security-risks-joe-sullivan.webp)
Discover how AI notetakers introduce prompt injection, viral OAuth expansion, and silent recording into your enterprise — and the controls every security team needs now.
![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.
![Developing & Deploying AI Fingerprints | [un]prompted 2026](https://thecyberarchive.com/assets/teasers/ai-fingerprinting-cross-service-prompt-injection-detection-natalie-isak-waris-gill.webp)
Learn how Binary Shield uses AI fingerprinting to detect and share prompt injection threats across all LLM services in your portfolio — privacy-safe and 36x faster.
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.
Learn how malicious VS Code extensions bypass Microsoft's safeguards to steal credentials and execute code on developer machines — and the only defense that actually works.
Learn how to apply structured threat modeling to AI/ML systems using the ML SecOps framework, three diagnostic questions, and OWASP AI Exchange controls.
