Cisco Open-Sources Project Quarry to Help Spot and Assess AI Agents

Key points

• Cisco released Project Quarry as an open-source utility on 2026-10-28.
• The tool is aimed at finding AI agents and examining how they act.
• Cisco reported no security incident tied to the release.
• No CVE identifiers were associated with the announcement.
• K-12 IT teams should treat agent visibility as an emerging governance need.

Cisco has made Project Quarry available as an open-source utility, with the announcement dated October 28, 2026. The release is intended to help organizations discover AI agents operating in their environments and then assess how those agents behave. Cisco did not report any security incident connected to the tool, and no CVE identifiers were issued for the announcement.

The immediate audience is any organization experimenting with or deploying AI agents, including school districts that are adopting assistants, automation, and other autonomous workflows. For K-12 IT teams, the value is less about a specific vulnerability and more about visibility: agents can be introduced through pilots, vendor products, or staff experimentation, and they may act with permissions that are not well understood.

Because no incident and no CVE were reported, this is not a patch-now emergency. The medium-severity signal is that AI agent discovery and behavior review are becoming practical governance tasks. Districts should use the release as a prompt to inventory agent use, understand what those agents can access, and decide which activity should be logged and reviewed.

What to watch is how Project Quarry is adopted and whether it helps teams establish repeatable checks for agent behavior. The absence of a CVE does not remove the need for oversight; it shifts attention to configuration, permission scope, and monitoring. IT administrators should test the tool carefully, document expected agent activity, and fold any findings into existing incident response and vendor review processes.

What to do now

1. Inventory AI agents and autonomous assistants in use across district systems, including pilots, vendor products, and shadow deployments.
2. Review Project Quarry's open-source documentation and test it in a non-production network segment before broader rollout.
3. Establish a baseline of expected agent behavior and identify which logs are needed to compare activity over time.
4. Apply least-privilege permissions to agents and require approval before new agents are introduced into production.
5. Monitor for unusual agent actions and route findings into the district's existing incident response workflow.
6. Track vendor and community updates for Project Quarry; no CVE means no emergency patch, but governance review should continue.

Original source

The Register — Security