Government & Public Sector

AI Governance for Government Agencies

Federal agencies and state governments face growing AI governance requirements. From OMB mandates to NIST frameworks, accountability is non-negotiable. Raidu provides the governance infrastructure that makes compliance possible.

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The Accountability Gap in Government AI

Public sector AI deployments carry unique obligations. The stakes involve public trust, civil liberties, and democratic accountability.

Federal AI Governance Requirements

OMB guidance and the NIST AI Risk Management Framework require federal agencies to implement AI governance including risk assessments, impact evaluations, and ongoing monitoring. State-level AI regulations add further obligations. Most agencies lack the technical infrastructure to comply.

FedRAMP & ATO Requirements

AI tools used by government agencies must meet Federal Risk and Authorization Management Program standards. Achieving ATO (Authority to Operate) for AI systems requires documented security controls, continuous monitoring, and incident response capabilities.

Transparency & Public Accountability

OMB Memo M-24-10 requires agencies to transparently report AI use, especially in rights-impacting and safety-impacting contexts. Agencies need comprehensive logging and reporting to meet these disclosure obligations.

Algorithmic Impact on Civil Rights

AI used in benefits adjudication, law enforcement, immigration, or other rights-impacting contexts must be monitored for bias and disparate impact. The AI Bill of Rights framework demands ongoing evaluation.

How Raidu Solves This

Purpose-built AI governance that works the way your industry demands.

Federal AI Governance Framework

Raidu provides the technical infrastructure for federal AI compliance: AI use inventories, risk assessments via policy rules aligned with the NIST AI RMF, impact monitoring, and the complete audit trails that OMB reporting requires.

Architecture Compatible with FedRAMP Environments

Deploy Raidu in your own GovCloud environment or on-premise within your ATO boundary. Our architecture supports NIST 800-53 controls, continuous monitoring, and the documentation your ISSO needs.

Transparency Reporting

Generate automated reports on AI usage across the agency: what models are used, for what purposes, by whom, and with what safeguards. Meet OMB M-24-10 transparency requirements with verifiable data.

Bias Monitoring & Civil Rights Protection

Raidu's content analysis engine monitors AI outputs for biased language, discriminatory patterns, and disparate impact indicators. Configurable alerting ensures human review when AI touches rights-impacting decisions.

SOC 2 Type II (pursuing)
Typically <50ms Added Latency
On-Premise Available
Input + Output Protection

Frequently Asked Questions

Does Raidu support FedRAMP requirements?
Raidu's architecture is designed for deployment within FedRAMP-authorized environments. Our on-premise and GovCloud deployment options allow agencies to operate Raidu within their existing ATO boundary, leveraging NIST 800-53 controls and continuous monitoring capabilities.
How does Raidu help agencies meet federal AI governance requirements?
Raidu provides the technical governance layer that OMB guidance and the NIST AI RMF require: comprehensive AI use logging, policy-based risk management, real-time monitoring, and automated reporting. These capabilities support the AI governance frameworks, risk assessments, and impact evaluations that federal mandates and state-level AI regulations demand.
Can Raidu be deployed on-premise in government data centers?
Yes. Raidu supports full on-premise deployment in government data centers and air-gapped networks. No data leaves your infrastructure, and all AI governance processing occurs locally.
How does Raidu help with OMB M-24-10 transparency requirements?
Raidu automatically logs every AI interaction with full context: user, model, purpose, input/output, and policy decisions. These logs can be exported into structured reports that directly support the AI use case inventories and transparency disclosures OMB M-24-10 requires.
Does Raidu monitor AI for bias and civil rights impact?
Yes. Raidu's content filtering and analysis capabilities can detect biased language, discriminatory patterns, and outputs that may create disparate impact. Custom policies can be configured for rights-impacting use cases, with mandatory human review workflows for flagged interactions.

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