The AI Red and Blue Teaming Summit by Packt Publishing is not your typical cybersecurity conference—it’s a hands-on, practitioner-first experience designed for people who actually build, break, and defend AI systems in the real world.
This two-day live virtual event brings together offensive and defensive security into one environment, where attendees don’t just listen—they actively test, exploit, and secure AI models. The focus is simple: understand how modern AI systems fail under pressure, and leave with the skills to defend them immediately.
What sets this summit apart is its lab-driven approach. Instead of slide decks and theory, participants step into simulated attack scenarios—running prompt injections, jailbreaks, and agent-based exploits against live AI workflows. Then, just as quickly, they switch roles: turning those same attack insights into detection rules, incident response playbooks, and security roadmaps that can be implemented right away.
The structure reflects how real security teams operate:
Day 1 (Red Team): Break AI systems—simulate adversaries, exploit LLM weaknesses, and map attack chains.
Day 2 (Blue Team): Defend them—build detections, create response strategies, and operationalize security controls.
Built around frameworks like OWASP’s LLM Top 10 and MITRE ATT&CK, the summit emphasizes practical, repeatable methodologies over abstract discussion. Attendees walk away with tangible outputs—playbooks, checklists, and detection rules—not just notes.
At its core, the event answers a growing industry question: as AI systems move into production everywhere, how secure are they really? The summit’s answer is clear—security isn’t theoretical anymore. It’s something you test, break, and rebuild in real time.
If you’re working with AI—whether building it, attacking it, or defending it—this is the kind of environment that forces you out of passive learning and into real capability.
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