Teams across the company started spinning up AI agents that could call APIs, trigger workflows, and act on behalf of users, and a few of those agents ended up with far more access than anyone realized. Orca surfaces those agents alongside everything else in our cloud estate, showing which identities they run as, which services they can reach, and what data sits behind those permissions. Seeing that blast radius in a single view made it straightforward to decide which agents were actually needed, where scopes should be tightened, and where guardrails should be added before they caused any trouble.

We looked at platforms that had clearly retrofitted or acquired their AI security story. With Orca, AI agents and AI services are built natively into the same unified data model that has powered the platform from day one, from code to the cloud runtime. Instead of a set of stitched-together tools, agents now show up directly in our workflows, our data pipelines, and the product our customers use, and Orca treats that entire agent footprint as a first-class part of the attack surface rather than an afterthought.

For a decade, we were sold the findings, then the dashboards to manage the findings, then the reports to summarise the dashboards—and nobody ever really changed the question from “How do we stop this?” to “How do we make this safe enough to keep going?” Our CISO now walks into the room to enable the business, not to approve what already shipped.