AI agents aren’t just changing data governance – they’re redefining how data is accessed, analyzed, and acted upon across the enterprise. From autonomous risk modeling in financial services to real-time personalization in customer service, non-human identities are transforming how work gets done.
But this shift comes with risk. Legacy data governance models, built for human users and manual processes, are cracking under the weight of non-human access and machine-speed decision-making. For data and AI leaders, the challenge is clear: how do you govern what you can’t easily see, explain, or control?
Tune in to Immuta CEO Matt Carroll and a panel of senior data executives from Cencora and Medtronic for a conversation on:
- How AI agents are reshaping enterprise data architecture and access models.
- The emerging risks around identity sprawl, policy mismatches, and lack of explainability.
- Strategies to govern AI-powered data usage without slowing innovation — from real-time monitoring to automated policy enforcement.