The New Guy (a.k.a. Agentic AI)

AI agents have already caused unintended record updates, broken workflows, and pushed flawed logic into production systems. These misfires often go unnoticed until forecasts stall, pipelines break, or sensitive data is affected.

These aren’t hallucinations. They’re executed actions with real consequences.

At Rubrik, we’ve spent years helping enterprises recover from ransomware, insider threats, and operational errors. The pattern is always the same: Damage happens fast. The root cause is murky. And visibility is fragmented.

But AI agents introduce a new twist. They can make mistakes faster and on a greater scale than humans. The damage isn’t always malicious, but it can be just as expensive. And when an autonomous agent misfires, the blast radius is often unknown until it’s too late.

As organizations scale up their use of AI agents, the surface area for unintended changes grows exponentially—touching more systems, data, and users than ever before. And without clear visibility, teams are often unaware of what’s changed until the changes are embedded deep in critical workflows.

That’s why we’re introducing Agent Rewind.