New Booz Allen Survey Finds Federal Agencies Are Accelerating Agentic AI Adoption Despite Significant Trust and Security Gaps
2026 publication highlights growing concerns around security, accountability, and governance as AI agents move into mission environments
The findings are featured in the latest issue of Velocity,
Notably, of the more than 100 federal IT and cybersecurity decision makers surveyed, 58% report their agencies have already deployed or are piloting AI agents, yet only 28% express high confidence in their ability to deploy those systems securely.
The findings underscore a critical challenge facing cybersecurity leaders: how to harness the operational advantages of agentic AI while ensuring these systems remain secure and accountable.
The survey found that concern about AI-enabled cyber threats remains high, with 79% of respondents reporting they are “very” or “extremely concerned” about adversaries using AI to accelerate cyberattacks against their agencies over the next 12 to 18 months.
Additional findings:
- The greatest AI-enabled cyber threat is AI-accelerated vulnerability exploitation, where AI dramatically shortens the time between discovering and exploiting software vulnerabilities, according to federal leaders surveyed.
- Only 36% of federal cyber and IT leaders are confident that cyber defenses can keep pace with AI-enabled attackers.
- Just 31% are fully or substantially prepared to employ AI-powered cyber defenses that integrate with existing security infrastructure.
- The top concerns surrounding agentic AI deployments include protecting sensitive or classified data (56%), preventing unauthorized actions (50%), and ensuring resilience against adversarial manipulation and prompt injection attacks (37%).
- Accountability remains unresolved: 22% of respondents say their organizations have not clearly determined who bears responsibility when an AI agent causes a security incident or operational failure.
- Federal leaders say greater visibility into agent behavior (56%), proven risk mitigation frameworks (44%), and demonstrated success in their organization’s environments (42%) would increase their confidence in expanding agentic AI deployments.
Read the full edition of Velocity.
Survey Methodology
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