Benefits decisions, fraud detection and GenAI assistants carry rights-impacting risk and public accountability. Asenion turns federal directives, impact assessment requirements and security baselines into operational controls your CAIO, CISO and program teams can verify, monitor and evidence.
Schedule a Call30 minutes with our AI compliance team.
Few of these were written only for AI. All of them apply to it.
OMB policy on federal agency use of AI, paired with M-25-22 on AI acquisition.
For AI: Inventory AI use cases, determine which are high-impact, and apply pre-deployment testing, impact assessments, human oversight and ongoing monitoring.
NIST's Govern, Map, Measure, Manage framework, referenced across federal and state AI policy.
For AI: A common control language for risk assessments, procurement requirements and authorization packages.
The security authorization baseline for cloud services used by federal agencies.
For AI: AI SaaS and LLM platforms that process federal data need an authorization, and AI-specific risks belong in the system security plan and continuous monitoring.
Treasury Board directive requiring an Algorithmic Impact Assessment (AIA) for automated systems used in administrative decisions.
For AI: The impact level drives requirements for peer review, notice, explanation, human intervention and testing for unintended bias.
AI used by public authorities for access to benefits and essential services, law enforcement, migration and border control is high-risk. Under the AI Omnibus, those obligations apply from December 2027.
For AI: Public-body deployers must complete a fundamental rights impact assessment and register high-risk use in the EU database.
The AI use cases we see most often, and the requirements that follow them.
Models that score applications or prioritize cases affect rights and access to services. They need impact assessments, explanations and human review.
Chatbots and drafting assistants must disclose AI use, avoid inaccurate guidance on benefits or rules, and keep sensitive data out of public models.
Flagging models must be validated, monitored for disparate impact, and designed so a flag triggers human review rather than automatic penalty.
Contracts need terms for testing, data rights and incident reporting. Agents need least-privilege access, runtime guardrails and audit logs.
One set of controls, applied from procurement through runtime, with evidence your inspector general, auditors and the public can rely on.
Start from Policy Packs for OMB M-25-21, NIST AI RMF, Canada's Directive on Automated Decision-Making and the EU AI Act, combined with your agency's own AI policy.
Test decision and GenAI systems for bias, inaccurate guidance, data leakage and prompt injection, with every result mapped back to a control.
Apply context-aware controls to AI agents in production and capture tamper-resistant evidence of what happened, which controls applied and whether they worked.
In 30 minutes we'll map your AI use cases to the rules above, show the controls that apply, and point out gaps in your AI governance program.
Schedule a CallNo preparation needed.
