Michael
Michael is focusing on mitigating cyber and governance risks that emerge from ungoverned AI solutions within organizations. His work addresses challenges posed by uncontrolled AI implementations, particularly agentic frameworks and Shadow AI systems that operate outside formal organizational oversight and control structures.
Problem Focus
Organizations increasingly face risks when powerful AI tools proliferate without adequate governance frameworks. Shadow AI—AI systems deployed and used informally outside official channels—and agentic frameworks that operate autonomously can introduce security vulnerabilities, compliance gaps, and operational hazards. These ungoverned implementations often lack visibility, audit trails, or integration with existing risk management processes.
Strategic Approach
Michael’s work aims to develop solutions that help organizations establish appropriate oversight mechanisms for AI deployments while maintaining operational flexibility. This involves bridging the gap between rapid AI adoption and the governance structures needed to manage associated cyber and organizational risks effectively.