Qerberos — Founder
Angus Chen is a leader who fosters a culture of trust and is an experienced cybersecurity data scientist known for his ability to connect the dots. As DEFCON Goon and a board member, he contributes to communities and promotes diversity in all its forms. He is also a speaker who shares his knowledge extensively. With over 20 years of hands-on experience, Angus has developed and implemented data science and deep tech solutions for a wide range of organizations, including MITRE, the Federal Reserve Board, and FINRA. He is a rock climber who looks for projects. He is the Director of Data Science at Binary Defense. He holds an MBA from IESE and a Master's in Applied and Computational Mathematics from Johns Hopkins University. Angus is also certified in CISSP, CCSP, and PMP.
演講議程
Agentic AI Security
Applying the OWASP Agentic AI – Threats and Mitigations taxonomy to real-world multi-agent systems (MAS). These systems, characterized by multiple autonomous agents coordinating to achieve shared or distributed goals, introduce additional complexity and new attack surfaces. |