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+# Enterprise AI security company
+
+## Verifiable control for AI security research
+
+An emerging leader in enterprise AI security. As a company of security scientists, they required deep, queryable visibility to match their 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: "Black Box" Visibility
+
+They found legacy MDMs to be restrictive "black boxes" that lacked necessary Linux visibility.
+
+## The Solution: Raw Truth
+
+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: Instant CVE Response
+
+- **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.  
+
+<meta name="articleTitle" value="Enterprise AI security company">
+<meta name="authorFullName" value="Irena Reedy">
+<meta name="authorGitHubUsername" value="irenareedy">
+<meta name="category" value="announcements">
+<meta name="publishedOn" value="2026-02-22">
+<meta name="description" value="An emerging leader in enterprise AI security.">