AI Incidents at Scale: Building an Operating Model for What Comes Next
About this session
The more AI we build, the more AI incidents we will create, and our existing operating models aren’t prepared for the volume, complexity, or speed of what’s coming.
Join Alex Layng, VP of Product, and Zach Burnett, CEO of RadarFirst, for a practical conversation about building a scalable approach to AI incident management. They’ll explore how organizations can define and identify AI hazards, determine when an incident creates reporting, regulatory, or litigation risk, and turn evolving requirements into consistent, defensible decisions.
Drawing on regulations and frameworks including the EU AI Act, GDPR, and the NIST AI RMF, Alex and Zach will examine what privacy, legal, compliance, and AI governance teams can learn from established regulatory practices and where new operating models are needed.
They’ll also share how RadarFirst is helping organizations codify complex laws, apply practical best practices, and manage privacy and AI incidents confidently in a rapidly evolving landscape.
Speakers
Key takeaways
- Prepare existing operating models for the growing volume, complexity, and speed of AI incidents.
- Define AI hazards and determine when an incident creates reporting, regulatory, or litigation risk.
- Translate frameworks such as the EU AI Act, GDPR, and NIST AI RMF into consistent, defensible decisions and practical incident-management processes.