Industry · Government & public sector

Govern agents on citizen data — inside your boundary, with proof.

An AI agent sent CJI, classified, or citizen PII to an unauthorized cloud LLM — and now it's a federal incident.

Public-sector AI use is growing fast, and the controls are catching up — CJIS v6.0, NIST 800-53 agent overlays, and FISMA all demand continuous, audit-ready accountability. Nolixan redacts sensitive data before egress and can run entirely inside your boundary.

Regulation → control

The frameworks you answer to, mapped to what Nolixan enforces.

CJIS Security Policy v6.0

Continuous audit + redaction-before-egress + self-host, so CJI never lands in an unapproved LLM prompt.

NIST SP 800-53 (+ agent overlays)

Access control, audit, and system-integrity controls mapped to source evidence.

FISMA / OMB M-25-21/22

AI risk management, inventories, and tamper-evident audit.

Controls are mapped to exact source evidence and machine-checked in CI — see the live compliance map.

Where it lands

Governed agents for government & public sector.

Benefits & eligibility casework

Determinations that affect citizens need human approval, explainability, and a complete audit.

Law-enforcement records

Touches CJI — needs redaction-before-egress and self-hosting so criminal-justice data stays in your control.

Procurement & grants

Writes to financial systems — default-deny plus separation of duties.

Constituent services

Handles PII at scale — content-level DLP before any model call.

Why Nolixan here

The controls that matter most in your industry.

Self-host & non-bypassable execution

Run the whole control plane inside your boundary; sensitive data is redacted before it can leave for any model.

NIST 800-53 control mapping

Controls mapped to exact source evidence, machine-checked in CI — audit-ready, not a static spreadsheet.

Tamper-evident audit & receipts

Continuous, signed, offline-verifiable accountability for FISMA and CJIS.

Redaction before egress

CJI and citizen PII are stripped before any outbound model call.

Bring agents to government & public sector — provably governed.

Self-host inside your boundary or run managed. Start in monitor mode, prove the controls, then enforce.