Threat modeling is broken. Confident engineers provide incomplete information, documentation is outdated, and critical vulnerabilities slip through the cracks.

This session unveils a revolutionary approach: multi-agent AI systems that dynamically extract and analyze real-time infrastructure data, automatically mapping complex technology landscapes to potential security risks.

By leveraging AI agents specialized in cloud metadata extraction, architectural analysis, and risk correlation, we transform threat modeling from a static, error-prone process into a live, intelligent vulnerability discovery mechanism.

Attendees will see how these autonomous agents:
- Uncover hidden inconsistencies in system architectures
- Generate testable security insights
- Reduce human bias and tribal knowledge limitations
- Provide actionable, context-aware threat assessments

Dive into the future of cybersecurity, where AI doesn't just assist, it leads the threat detection revolution.