Michael
Michael is exploring a strategic focus on mitigating cyber and governance risks introduced by ungoverned AI solutions within organizations. This emerging area of concern addresses the challenges posed by uncontrolled AI implementations, particularly agentic frameworks and Shadow AI systems that operate outside formal organizational oversight.
Problem Space
The identified problem centers on organizational risks that emerge when powerful AI tools proliferate without adequate governance structures. Ungoverned AI solutions—including autonomous agents and Shadow AI systems deployed by individual teams or departments—create vulnerabilities in security, compliance, and operational control. These implementations often bypass established IT policies and risk management frameworks, introducing potential exposure across cybersecurity, data protection, and regulatory compliance domains.
Strategic Direction
Michael’s focus seeks to develop approaches and solutions that address the governance gap between rapid AI adoption and organizational risk management capabilities. This includes understanding how agentic frameworks and Shadow AI systems can be monitored, controlled, or integrated into existing governance structures to maintain security and compliance while enabling beneficial AI deployment.