Join Molly Correia, cybersecurity consultant, as she turns a virtual talk into a live experiment: you'll prompt your preferred AI model — ChatGPT, Claude, Gemini, Copilot, or whichever model your team relies on — to analyze a real-world CVE, then compare results against authoritative sources to see exactly where the models hallucinate facts, recommendations, and unsupported conclusions.
This panel moderated by Kip Boyle brings together two hands-on AI security pros, a privacy and AI attorney, and a cyber-insurance expert to work through where the guardrails actually belong and who owns them once they're set.
Do you dread writing incident response documentation? Gerard Johansen of IR Proactive shows how LLMs can quickly create, refine, and validate incident response policies, plans, workflows, and communications playbooks.
Join Faan Rossouw (aionsec.ai) for a 25-minute, demo-driven session on a blind spot in every security system that puts an LLM agent in the analysis loop: the data the agent reads is partly authored by the adversary, which turns your own telemetry into a potential prompt-injection channel.
Join Alicia Cuestas, CEO of Open-Sec and offensive security professional, as she demonstrates how to exploit agentic AI systems by treating the LLM itself as a vulnerable jump-box. Using indirect prompt injection and tool-use manipulation, she'll show you how attackers leak sensitive data, move laterally across internal APIs, and bypass system-level guardrails.
Join Matt Franz, AI Security Lead at Bespin Global, as he shows you how to vibe-code a custom MCP Server for your SIEM in Go, whether or not your vendor already ships one.
