WEBINAR

Restoring Trust: Recovering from Unintended Agent Behavior

As organizations rapidly adopt agentic workflows, they’re gaining speed—but creating a new governance blind spot that can turn a single AI mistake into a cascading security, compliance, or operational failure. Discover how autonomous recovery, centralized visibility, real-time guardrails, and secured agent identities can help organizations move fast with AI while keeping systems resilient and recoverable.
September 02, 2026
7:00 PM UTC
30 minutes

September 10, 2026

3:00 PM ET / 2:00 PM CT / 12:00 PM PT / 8:00 PM GMT

Duration: 1/2 hour

Already registered? Click here to log in.

A certificate of attendance will be offered.

Summary

As organizations lean into agentic workflows to drive speed and efficiency, they are creating a massive governance blind spot when it comes to operational resilience and security. What happens when an agent makes a mistake in a live environment? Agents introduce new unpredictable risks, and many teams are operating in the dark, without a clear, centralized view of what agents are doing across systems. Without that insight, small mistakes can quickly cascade into major security, compliance, or operational issues.

This session will explore why the future of business resilience requires moving beyond static, human-led recovery and toward autonomous recovery tools that perform the bulk of the work in advance. Organizations can then bridge the gap between rapid AI adoption and robust operational resilience.

Key Takeaways:

  • Why traditional backup tools fail when tasked with protecting modern agentic AI workflows
  • Why organizations need the ability to undo AI mistakes and restore systems to a known-good state
  • How to establish centralized visibility and enforce real-time guardrails that ensure innovation doesn’t come at the cost of stability
  • Why Agents should be treated as secured, privileged identities rather than disparate, unmonitored tools
  • How to create custom policies and enforce them with AI-powered, real-time blocking

Speaker

Dev Rishi

Dev Rishi

General Manager, AI

Rubrik

Devvret Rishi is GM of AI at Rubrik, and was previously co-founder & CEO of Predibase – a generative AI infrastructure startup. Dev has a background in building large-scale ML infrastructure products as open source software and in leading product teams at Google, and holds an undergraduate and master's degree in computer science with a focus on AI from Harvard University.

Sponsored by: