Federal agencies need defense-grade controls
Mission-critical operations and autonomous agent activity need zero-trust identity, continuous validation, and controls that hold under active threat.
By industry
Federal, state, and local agencies are adopting AI under evolving mandates while protecting mission-critical operations and resident data. Governance means real-time monitoring, context-aware access, and an audit trail oversight bodies can follow.
Why it matters
Mission-critical operations and autonomous agent activity need zero-trust identity, continuous validation, and controls that hold under active threat.
Public infrastructure and digital services need real-time monitoring and robust access controls as AI adoption scales across departments.
The Executive Order on AI and NIST AI RMF expect agencies to demonstrate control over AI systems, not describe good intentions.
What Lineation does
See AI interactions as they happen, with the context needed to investigate and respond to anything unusual.
Access is enforced based on identity, role, and context, so AI workflows don't become a shortcut around existing permissions.
Query and response behavior in retrieval workflows is validated at runtime to prevent internal data overexposure.
Elevated-risk behavior is isolated and contained while preserving the context needed for investigation.
How it works
Every agent and AI-enabled workflow across agencies is discovered and cataloged.
Identity- and role-based policy governs access to internal data by default.
Policy-bypass attempts and unusual behavior are flagged as they happen.
Sessions showing elevated risk are contained without losing investigative context.
A searchable, exportable record supports oversight and compliance review.
FAQ
Real-time monitoring, policy enforcement, and audit-ready logs map directly to documented-control expectations under the Executive Order on AI and NIST AI RMF.
Yes-on-prem and air-gapped deployment options are available for agencies that cannot route through an external cloud control plane.
Policy and monitoring sit at the agent and gateway layer, independent of the underlying system an agency runs.
Query and response behavior is validated against access permissions at runtime, preventing overexposure of internal data.
Yes-workflows can be pressure-tested before launch and re-tested as models and integrations change.
A searchable, exportable record of every agent action and policy decision, suitable for inspector general or regulatory review.
Real-time monitoring, access control, and audit-ready evidence from day one.