By industry

Secure AI adoption for government, without losing oversight.

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

Mandates are tightening while adoption accelerates

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.

State and local governments protect resident data

Public infrastructure and digital services need real-time monitoring and robust access controls as AI adoption scales across departments.

Mandates demand documented oversight

The Executive Order on AI and NIST AI RMF expect agencies to demonstrate control over AI systems, not describe good intentions.

What Lineation does

Adoption at scale, without losing the paper trail

Monitoring

Real-time monitoring with audit-ready records

See AI interactions as they happen, with the context needed to investigate and respond to anything unusual.

Access

Context-aware access control

Access is enforced based on identity, role, and context, so AI workflows don't become a shortcut around existing permissions.

RAG

RAG protections

Query and response behavior in retrieval workflows is validated at runtime to prevent internal data overexposure.

Containment

Session isolation & blocking

Elevated-risk behavior is isolated and contained while preserving the context needed for investigation.

How it works

Five steps to accountable agency AI

Inventory every workflow

Every agent and AI-enabled workflow across agencies is discovered and cataloged.

Enforce role-based access

Identity- and role-based policy governs access to internal data by default.

Monitor prompts & responses

Policy-bypass attempts and unusual behavior are flagged as they happen.

Isolate elevated risk

Sessions showing elevated risk are contained without losing investigative context.

Produce audit-ready records

A searchable, exportable record supports oversight and compliance review.

FAQ

Common questions

How does this align with federal AI mandates?

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.

Can this run air-gapped or on-prem?

Yes-on-prem and air-gapped deployment options are available for agencies that cannot route through an external cloud control plane.

Does this work with legacy case-management systems?

Policy and monitoring sit at the agent and gateway layer, independent of the underlying system an agency runs.

How is resident data protected in RAG workflows?

Query and response behavior is validated against access permissions at runtime, preventing overexposure of internal data.

Can this support red-teaming before rollout?

Yes-workflows can be pressure-tested before launch and re-tested as models and integrations change.

What audit evidence does this produce for oversight?

A searchable, exportable record of every agent action and policy decision, suitable for inspector general or regulatory review.

Adopt AI at agency scale without losing the paper trail.

Real-time monitoring, access control, and audit-ready evidence from day one.