We are constantly creating with AI agents, and compliance used to feel completely disconnected from that reality. Teams ship agents to production, analysts wire agents into workflows, PMs push agent-backed features, and then audit season arrives with the spreadsheet. Orca continuously maps our cloud workload and agent posture to the frameworks we care about, tied directly to the resources and agents that power what we build.

We build across AWS, Azure, and GCP. Different teams own each cloud and ship features independently, and our AI agents follow those same paths, calling services across multiple providers at once. Before Orca, that meant three different stories about where the agents lived and what they could reach. Orca connects to every account and subscription and gives us a single, contextual view of the risk tied to the AI agents and the services our business depends on. Our CISO can see the agents, their identities, and their blast radius across clouds in one place instead of chasing separate dashboards.

Our teams leaned hard into serverless. Developers, analysts, and even marketers writing Python scripts ended up shipping Lambda functions that touched important data. Traditional tools treated those functions as an afterthought. Orca sees serverless as part of the same unified risk surface, showing permissions, data access, and exposure in the context of the features we’re building. It lets our CISO enable that speed of creation instead of asking teams to slow down.