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Federal Agencies Lag in Integrating AI into Zero Trust

Key Takeaways
  • Only 11% of federal agencies have fully integrated AI into Zero Trust.
  • 24% have visibility into API-based AI interactions.
  • 13% enforce security policy across AI agents and endpoints.
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Strategic Implications

This gap may indicate a significant vulnerability in federal cybersecurity, as AI becomes increasingly integral to operations. The findings suggest that agencies could benefit from clearer guidelines and more effective tools to operationalize Zero Trust in the age of AI, which may help close the gap between policy and practice.

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What Happened

Gap Widens Between Policy And Practice In AI Security

A recent survey of federal IT and security leaders reveals a significant disparity between the intent to integrate AI into Zero Trust architectures and the actual implementation. Despite near-universal agreement on the necessity of governing AI like any other identity, only a small fraction of agencies have successfully done so. The survey, conducted by Market Connections and GovExec, highlights the challenges federal agencies face in operationalizing Zero Trust in the age of AI, with many struggling to achieve consistent security policy enforcement across AI agents, apps, and endpoints. The full report, sponsored by Defense One, provides further insight into the state of federal AI security and potential solutions to address the gap.

Source | Originally Published: July 15, 2026

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JUMPSEAT
AEROSPACE NEWS
JUMPSEAT
AEROSPACE NEWS

Federal Agencies Lag in Integrating AI into Zero Trust

Sponsored by: Jumpseat Solutions
Key Takeaways
  • Only 11% of federal agencies have fully integrated AI into Zero Trust.
  • 24% have visibility into API-based AI interactions.
  • 13% enforce security policy across AI agents and endpoints.
Sign in to view key takeaways Get full access to in-depth analysis and key takeaways.
Sign In
Silver membership required Upgrade to Silver to access Key Takeaways.
Upgrade
Strategic Implications

This gap may indicate a significant vulnerability in federal cybersecurity, as AI becomes increasingly integral to operations. The findings suggest that agencies could benefit from clearer guidelines and more effective tools to operationalize Zero Trust in the age of AI, which may help close the gap between policy and practice.

Sign in to view strategic implications Get full access to strategic analysis and expert insights.
Sign In
Silver membership required Upgrade to Silver to access Strategic Implications.
Upgrade

What Happened

Gap Widens Between Policy And Practice In AI Security

A recent survey of federal IT and security leaders reveals a significant disparity between the intent to integrate AI into Zero Trust architectures and the actual implementation. Despite near-universal agreement on the necessity of governing AI like any other identity, only a small fraction of agencies have successfully done so. The survey, conducted by Market Connections and GovExec, highlights the challenges federal agencies face in operationalizing Zero Trust in the age of AI, with many struggling to achieve consistent security policy enforcement across AI agents, apps, and endpoints. The full report, sponsored by Defense One, provides further insight into the state of federal AI security and potential solutions to address the gap.

Source | Originally Published: July 15, 2026

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