← Back to all briefings
AI 6 min read Published Updated Credibility 94/100

AI Governance — OMB M-24-10

OMB M-24-10 requires independent evaluations of high-impact AI systems used by federal agencies. External assessments of algorithm performance, bias, and safety. If you are selling AI to the federal government, prepare for evaluation requirements.

Verified for technical accuracy — Kodi C.

AI pillar illustration for Zeph Tech briefings
AI deployment, assurance, and governance briefings

OMB Memorandum M-24-10 requires every safety-impacting AI system to complete pre-deployment testing, independent evaluation, and human fallback controls by . This brief packaging red-team findings, bias assessments, resilience drills, and human-in-the-loop playbooks into audit-ready packets for agency Chief AI Officers (CAIOs) and Inspectors General. this analysis connects to the AI pillar hub at AI tools, the OMB M-24-10 setup guide, and companion briefs on agency governance and safety controls to deliver a unified compliance runway.

What the memo demands

  • Appendix C controls. Agencies must evidence independent evaluation, ongoing monitoring, and human fallback procedures for every safety-impacting AI system.
  • Pre-deployment testing. Systems must show safety, security, and effectiveness before launch, including bias, robustness, and red-team assessments.
  • Waiver governance. Section 5(c) allows limited waivers, but agencies must justify compensating controls, mitigation timelines, and report status quarterly.
  • Transparency and documentation. CAIOs must certify compliance, maintain inventories, and be able to furnish evidence to oversight bodies.

Independent evaluation stack

The evaluation plan mirrors M-24-10 language so agencies can reference Appendix C directly.

Evaluation components mapped to Appendix C expectations
RequirementdeliverableEvidence format
Independent evaluation of safety-impacting AIThird-party review of model, data pipeline, and controlsSigned assessment report, scope statement, tester qualifications
Pre-deployment testingBias testing, robustness checks, adversarial simulationsTest scripts, datasets or references, pass/fail logs
Human fallback and overrideRunbooks for escalation, rollback, and manual decision pointsOperational playbooks, training receipts, escalation matrix
Ongoing monitoringTelemetry thresholds, drift detection, incident triggersMonitoring dashboard captures, alert policies, response SLAs
Waiver justification (if used)Risk acceptance memo with compensating controlsSigned waiver package, quarterly status updates
Testing-to-approval flow for safety-impacting AI
Plan (scope + risks) -> Test (bias, robustness, red-team) -> Independent evaluation -> Remediate & retest -> Human fallback drills -> CAIO approval & documentation

Alt text: Workflow showing planning, testing, independent evaluation, remediation, fallback drills, and CAIO approval before deployment.

Red-team and robustness focus

Independent evaluations rely on rigorous pre-deployment testing:

  • Prompt-attack resilience: Injection, jailbreaking, and content safety bypass attempts to validate guardrails.
  • Bias and fairness: Sampling across demographics and scenarios to surface disparate outcomes, with mitigation steps logged.
  • Robustness: Perturbation and stress testing to ensure model performance under edge cases and noisy inputs.
  • Safety-impacting scenarios: Domain-specific drills (health, benefits eligibility, transportation) aligned to the memo’s safety definition.

Human fallback and accountability

M-24-10 emphasizes human oversight. This brief supplies escalation and override playbooks aligned to agency mission contexts.

  • Clear decision points: Identify where humans must approve, override, or review AI outputs before actions execute.
  • Escalation ladders: Named roles for operators, supervisors, and CAIO delegates with time-bound response expectations.
  • Rollback readiness: Procedures for disabling models, reverting to manual workflows, and notifying impacted users.
  • Training and drills: Exercises that measure operator readiness and document attendance, outcomes, and corrections.
RACI for independent evaluations and fallback
Plan tests: Product (R), CAIO (A), Privacy/Security (C) | Execute tests: Safety & Reliability (R), External evaluator (C) | Approve remediation: CAIO (A), Business owner (R), IG (C) | Run fallback drills: Operations (R), Business owner (A), Training (C) | Sign-off & archive: CAIO (A), Records (R)

Alt text: Responsibility matrix showing accountable and responsible roles across planning, testing, remediation, fallback drills, and sign-off.

Evidence and documentation

To support CAIO certifications and oversight reviews, we produce:

  • Evaluation scopes, methodologies, tester bios, and independence statements.
  • Test logs with inputs, outputs, failures, and remediation tickets.
  • Validation of model updates after fixes, including regression results.
  • Records of human-fallback drills, attendance, timing, and outcomes.
  • Versioned runbooks for deployment, rollback, and incident notification.

Metrics CAIOs can defend

  • Test coverage: Percentage of safety-impacting scenarios with passing results and remaining exceptions.
  • Time to remediate: Mean days from defect discovery to validated fix.
  • Drill performance: Success rate of human fallback exercises and time to execute overrides.
  • Independence assurance: Count of evaluations performed by external vs. internal teams and dates of recertification.
  • Documentation freshness: Age of inventories, runbooks, and waiver packets.

Waiver handling

If agencies pursue waivers under Section 5(c), Providing the supporting package: rationale tied to mission needs, risk ratings, compensating controls, and timelines for full compliance. Quarterly updates track mitigation progress and any changed risk posture, enabling CAIOs to report status as required.

Timeline to March 28, 2025

Milestones for safety-impacting AI readiness
WeekMilestoneEvidence
Week of Feb 24Finalize evaluation scope and independence criteriaSigned scope, evaluator roster, data access approvals
Week of Mar 3Complete red-team, bias, and robustness testingTest logs, failure list, mitigation owners
Week of Mar 10Finish remediation and regression validationRetest results, updated models/configurations
Week of Mar 17Run human-fallback drills and capture outcomesDrill reports, attendance, timing metrics
Week of Mar 24CAIO approval, records archiving, and deployment readinessSigned approvals, technical file, communication plan

Monitoring after deployment

M-24-10 keeps monitoring continuous. this brief configures alert thresholds and reporting routes so incidents trigger both operational responses and CAIO/IG visibility. Monitoring feeds into the incident-reporting brief and aligns with agency governance expectations.

Stakeholder to-do list

  • CAIO: Confirm independence of evaluators, sign off on scopes, and set certification schedule.
  • Program owners: Ensure domain-specific safety scenarios are covered and provide data context for testers.
  • Security and privacy: Validate that evaluation data handling complies with agency security and privacy baselines.
  • Operations: Practice rollback and manual handling for the highest-risk workflows.
  • Records management: Archive all artifacts with retention labels to answer oversight requests.

With independent evaluation evidence packaged and fallback controls drilled, agencies can certify Appendix C readiness by the March 28, 2025 deadline and keep documentation aligned with the AI pillar hub, OMB M-24-10 guide, and related governance briefs.

Inventory and risk tiering

Independent evaluation depends on a clean inventory. We catalog every model version, data pipeline, training set lineage, and deployment context so CAIOs can confirm which systems qualify as safety-impacting. Each entry records mission function, potential harms, user population, and linked system owners. That traceability speeds Appendix C attestations and ensures any waiver discussions rest on complete facts.

Coordination with oversight partners

Inspectors General and privacy officers often request early access to evaluation scopes. We schedule checkpoint reviews so oversight partners can confirm independence, data minimization, and audit trails. After testing, we provide a consolidated technical file—evaluation reports, remediation evidence, fallback drills, and monitoring plans—so oversight bodies can verify compliance without delaying deployment.

Data handling and provenance

M-24-10 expects responsible data use throughout evaluation. Our testers operate under agency-approved data minimization rules, log all dataset access, and document provenance for any synthetic-free test corpora used. Output samples are retained with context (prompts, parameters, runtime environment) so findings are reproducible and defensible.

Post-deployment reporting

Independent evaluation does not end at launch. We align monitoring with the memo’s quarterly reporting cadence: incident summaries, control changes, and any waiver progress are compiled for CAIO sign-off. If an incident occurs, the testing corpus is refreshed to include the failure pattern, and fallback drills are rerun to confirm readiness.

The evaluation package plugs into agency governance workstreams covered in the governance and safety-control briefs. Findings feed the AI inventory, risk register, and incident-reporting templates, ensuring consistent evidence across the AI pillar hub and the OMB setup guide.

Readiness checklist

Before any CAIO signs the certification, we verify that evaluation scopes are closed, mitigations are retested, fallback drills meet timing targets, and records are archived with retention labels. Only then does deployment proceed.

Continue in the AI pillar

Return to the hub for curated research and deep-dive guides.

Visit pillar hub

Latest guides

Coverage intelligence

Published
Coverage pillar
AI
Source credibility
94/100 — high confidence
Topics
OMB M-24-10 · Safety-impacting AI · Independent evaluation
Sources cited
3 sources (hitehouse.gov, iso.org)
Reading time
6 min

Cited sources

  1. OMB Memorandum M-24-10 — Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence — whitehouse.gov
  2. OMB Fact Sheet — Governmentwide Policy to Advance Safe, Secure, and Responsible AI — whitehouse.gov
  3. ISO/IEC 42001:2023 — Artificial Intelligence Management System — International Organization for Standardization
  • OMB M-24-10
  • Safety-impacting AI
  • Independent evaluation
Back to curated briefings

Comments

Community

We publish only high-quality, respectful contributions. Every submission is reviewed for clarity, sourcing, and safety before it appears here.

    Share your perspective

    Submissions showing "Awaiting moderation" are in review. Spam, low-effort posts, or unverifiable claims will be rejected. We verify submissions with the email you provide, and we never publish or sell that address.

    Verification

    Complete the CAPTCHA to submit.