Bridging the Divide: Report Finds Significant Visibility and Governance Gaps in Federal AI Readiness

The rise of agentic AI—systems that can take autonomous actions—raises the stakes even further. The report found another significant perception gap here: 74% of leaders claim to have comprehensive monitoring for AI agents, while only 38% of individual contributors agree. This suggests that leadership confidence may be at its highest exactly where unseen behavior could have the most significant consequences.

Three Priorities for AI-Ready Federal Environments

To address these challenges and build a foundation for responsible AI scaling, the report outlines three strategic priorities for federal and defense agencies.

1. Inventory Before Deploying
Agencies must create a comprehensive map of their AI tools, including the systems and data they can access, the identities and credentials they utilize, and their connections across cloud, legacy, and operational technology environments. This inventory should serve as an operational baseline that is updated continuously as vendors introduce new capabilities or as mission requirements change.

2. Monitor AI Behavior, Not Just AI Traffic
While 57% of organizations currently monitor for unauthorized network traffic, 39% still report insufficient visibility into AI behavior. Monitoring must evolve to answer specific questions: What did the tool actually do? What data did it access? What actions did it initiate? Did it behave differently from its approved purpose? Moving from traffic monitoring to behavioral monitoring is essential for managing autonomous systems.

3. Measure Enforced Practice
Policy is only as good as its implementation. Currently, only 36% of organizations report having AI-specific security policies, and among those with a governance framework, only 37% describe employee adherence as strong. Agencies must bridge the gap between written policy and technical reality.

The Small Business Administration (SBA) is currently modeling this approach. According to an advisory published by the SBA Office of the Inspector General (OIG) in September, the agency is developing an AI governance board, a generative AI policy, and a comprehensive compliance plan. Crucially, the SBA is creating an agencywide use-case inventory to identify high-impact applications. This type of inventory is essential for connecting high-level policy to the specific systems and decisions that require oversight.

Readiness Is the Ability to See, Govern, and Explain

As federal and defense organizations continue to integrate artificial intelligence into the heart of their missions, the definition of "readiness" must expand. It is no longer enough to simply deploy a tool; readiness now requires the ability to see where AI is operating, understand its behavior across complex and fragmented environments, and enforce controls against real-world activity.

The agencies that will be most successful in scaling AI responsibly are those that treat observability as a foundational requirement rather than an afterthought. By closing the visibility gap between leaders and practitioners, federal organizations can ensure they have the evidence needed to explain their decisions, protect their data, and fulfill their missions in an increasingly autonomous world.