We used to drown in container CVE lists that didn’t reflect how our teams—or the AI agents—actually use those services. Developers were shipping images quickly, product managers were prototyping and pushing features, and the agents were calling into containers in ways that security couldn’t easily prioritize. Orca shows which container vulnerabilities sit on the assets that are truly exposed, and more importantly, which ones fall along the paths our AI agents and their tools actually traverse. It filters out the noise and surfaces the container risks that could affect real agent workflows, not just theoretical package issues.

The CISO here is accountable for everyone who ships: the developer, the data scientist, the analyst deploying the agents, the PM, and even the marketer writing Python. Last month, an analyst spun up an agentic workflow with access to multiple internal systems, and nobody had told Security. Orca surfaced it, mapped what the agent could reach, and we were able to govern it before it became an exposure.

The CISO here was accountable for everyone who ships: the developer, the data scientist, the analyst deploying the agents, the PM, and the marketer writing the Python. Last month, an analyst spun up an agentic workflow with access to multiple internal systems, and nobody had told security. Orca surfaced it, mapped what the agent could reach, and we were able to govern it before it became an exposure. That’s what the unified data model actually means in practice: code, cloud, AI services, and now agents, all in one place.