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Closes https://github.com/fleetdm/fleet/issues/41798 Changes: - Added an "About Fleet" section to the case study article template page. - Removed the "About Fleet" sections from case study articles. FYI @irenareedy: After this change is merged, you will not need to include an "About Fleet" section on new case study articles.
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AI security company runs live queries to verify CVEs in seconds
An emerging leader in enterprise AI security required deep, queryable visibility to match its Zero Trust philosophy.
At a glance
- Endpoints: ~35 (macOS and Linux).
- Primary requirement: security-as-code and OS interoperability.
- Key integrations: CI/CD pipelines.
- Previous solution: legacy MDMs.
The challenge
They found legacy MDMs to be restrictive "black boxes" that lacked necessary Linux visibility.
The solution
Fleet’s use of osquery turned Linux workstations from a blind spot into a source of real-time security telemetry. The open-source core allows them to audit their own management infrastructure, which is a key requirement for their security-first mission.
The results
- Zero-impact transition: engineers appreciated the move to a lightweight agent that doesn't hinder productivity.
- IDE security: they use Fleet to monitor for risky IDE extensions (like VS Code or Cursor) to ensure AI coding tools remain secure.
- SOC 2 maintenance: when a new CVE is announced, they run a live query to get an answer in seconds, which is vital for maintaining SOC 2 status.