Artificial intelligence-driven cyberthreats have fundamentally transformed the threat landscape through unprecedented scale, speed and sophistication. Traditional defensive approaches struggle against generative phishing campaigns, deepfake fraud and AI-powered vulnerability discovery that target organizations with laser precision.

Modern cyber resilience demands proactive threat modeling, automated detection systems and comprehensive data governance frameworks. Organizations must balance significant security investments against business risk priorities while establishing guardrails for acceptable AI use. Success requires connecting disparate threat intelligence through predictive analytics, addressing security analyst fatigue and maintaining robust third-party vendor oversight.

This session, led by Nim Nadarajah, CISO at HOVR, and Sandra Pesic, information security and data privacy officer at the Federal Reserve Bank of Chicago, will cover:

• Detecting AI-generated threats through behavioral analytics;
• Implementing data classification and access controls;
• Preparing cryptographic standards for post-quantum computing.