Assessing AI Risk: Strategies, Best Practices, and Governance
AI risk creates financial, regulatory, and reputational exposure before controls exist. Most leaders still lack a structured way to assess it.
- Learn what AI risk looks like when systems run in production.
- Find out how leaders use NIST, ISO 42001, MITRE ATLAS, and more to make AI risk defensible.
- Learn what to measure across the AI lifecycle to catch risk early.
Obtain practical, defensible guidance to assess and govern AI risk. Register for the executive webinar. Be part of a focused executive conversation.
Our speakers are practitioners with real OT ransomware experience.
Neema Wasira-Johnson
Neema Wasira-Johnson leads AI and cybersecurity risk strategy for organizations navigating enterprise AI adoption. As C|CISO at QTE and founder of Asili Advisory Group, she advises leadership teams on AI governance, regulatory exposure, and accountability.
Sai Rakshith
Sai Rakshith works directly with organizations to assess AI and application risk, focusing on lifecycle risk assessment, security controls, and operational governance.
Yawar Kamran
Yawar Kamran helps business leaders translate AI risk into practical decisions around control ownership, risk acceptance, and enterprise readiness.
