All Deep Dives For Infosec Conference Talks Covering Defensive Security. Talks analyzed in full.
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 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 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Learn to extract real signal from security conference talks by diagnosing hidden predicates, outdated assumptions, and incomplete build-vs-buy framing before they waste your team's time.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.
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.
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.
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.
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.