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.

Inside our company, the population of spun-up AI agents has increased a lot. Marketing is writing agents into campaigns, analysts are shipping autonomous workflows, and the PM team is trying agents in new features. Almost everyone in the building can now launch an agent that talks to real systems, and that used to raise serious concerns for our security team. Orca gives us visibility and context across every one of those agents. We can catch over-permissioned agent access or a misconfigured role before a workflow runs away or an attacker would, and the builder almost never has to slow down.