Enterprise Technology Strategist | Principal Engineer | PQC & Secure AI Leader Frank Michaud is an Enterprise Technology Strategist and Principal Engineer with over 25 years of experience leading secure digital transformation and trusted computing at global scale. Holding a portfolio of more than 20 patents, Frank operates at the forefront of Post-Quantum Cryptography (PQC), Secure AI, and enterprise security architecture. His strategic technical leadership helps global organizations navigate the rapid convergence of emerging AI capabilities, cryptographic resilience, and shifting security primitives. An active contributor to global standards and industry forums—including NIST, IETF, and the RSA Conference—Frank has consistently bridged deep cryptographic engineering with executive strategy. As enterprises prepare for the combined disruptions of quantum computing and autonomous AI exploitation, Frank leads the charge in defining next-generation trust infrastructure and establishing resilient post-quantum defenses.

Rethinking Security Primitives: PQC Migration, Autonomous AI Exploitation, and the Next Fundamental Shift in Cyber Defense As quantum computing advances toward practical reality, transitioning to Post-Quantum Cryptography (PQC) has shifted from a theoretical exercise to an urgent operational requirement. Yet, while defense architectures prepare to migrate legacy public-key systems, a parallel disruption is breaking long-held security assumptions: the rise of autonomous frontier AI. This session opens with a strategic evaluation of the PQC transition roadmap, detailing why adopting quantum-resistant algorithms is essential before cryptanalytically relevant quantum hardware arrives. Moving beyond quantum readiness, the presentation explores how autonomous AI models such as Anthropics Claude Mythos are rewriting the cybersecurity landscape. We will examine the intense pressure autonomous AI places on traditional software security, rapidly identifying zero-days and generating exploits across operating systems and enterprise software. Crucially, the session highlights a fundamental shift in threat vectors: AI moves past finding implementation bugs to challenging core mathematical primitives. Analyzing Anthropics groundbreaking cryptanalytic research, we evaluate how AI models derived structural attacks against NIST post-quantum candidate HAWK triggering its withdraw alongside new attack optimizations against round-reduced AES. Attendees will leave with a clear view of the next fundamental era in cybersecurity: hardening software against autonomous AI exploit generation, executing PQC migrations, and re-evaluating core cryptographic foundations in an age where AI tests both software logic and underlying mathematics.