๐Ÿ›๏ธ Government & Defense

FedRAMP-Ready AI Governance for the Public Sector

FedRAMP-ready AI governance for missions that can't fail. Data sovereignty, classified data protection, and tamper-proof audit trails for government AI systems at every classification level.

$15B
Gov AI Spending by 2027
38
States with AI Governance Laws
FedRAMP
Ready
Air-Gap
Deployable

Public Sector AI Challenges

Government AI deployments carry unique accountability requirements that commercial tools weren't designed to meet.

Classification Compliance

Security compliance requirements for government AI systems are complex and evolving rapidly. Manual compliance processes can't keep pace with the rate at which AI is being deployed across agencies and departments.

Sovereign Deployment

Air-gapped deployment requirements for defense systems are non-negotiable โ€” but most commercial AI governance tools assume cloud connectivity, leaving a critical gap in environments where sovereign operation is mandatory.

Public Accountability

Government AI systems face unique transparency requirements. Citizens and oversight bodies expect explainable AI decisions โ€” but most systems generate no audit trail that satisfies FOIA requests or oversight committee inquiries.

AI Agents You Can Trust. Outcomes You Can Prove.

Government and defense organizations deploying RuntimeAI for mission-critical AI governance.

Sensitive Data Protection
Challenge

An AI agent inadvertently accessed a sensitive network segment, triggering a security incident. The breach wasn't detected for hours, and forensic evidence was fragmented across multiple systems.

Result

Network-level isolation contained the breach in milliseconds. The agent was quarantined immediately, security teams were alerted automatically, and a complete forensic trail was captured for the incident review board.

Benefits Processing Fairness
Challenge

An AI agent was denying benefits to 12% more applicants in specific geographic areas โ€” a pattern that went undetected for months while thousands of decisions were made with unchecked bias.

Result

Continuous fairness monitoring detected the geographic pattern within days. The agent was halted, affected decisions were flagged for human review, and corrective action began before the pattern became systemic.

Public AI Accountability
Challenge

A predictive AI was making recommendations without logging rationale, making a FOIA request unanswerable. Citizens and oversight bodies couldn't get the transparency they were legally entitled to request.

Result

Every AI recommendation is now logged with full rationale, creating a citizen-facing audit trail that satisfies FOIA requirements and demonstrates accountability to oversight bodies and congressional inquiries.

Compliance & Certifications

Meeting the security standards that government and defense require.

FedRAMP NIST 800-53 ITAR FIPS 140-2 CMMC

FedRAMP-Ready AI Governance for Missions That Can't Fail

Government-grade security. FedRAMP-ready. Air-gap deployable. See how RuntimeAI governs AI for the public sector.