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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
Governance and accountability

Governance evidence

What agencies reported about the OMB M-25-21 minimum practices for high-impact AI. This is a disclosure analysis, not an audit, a compliance finding or an official assessment. An unanswered question is missing evidence, not evidence that a safeguard is absent.

Agency1
Stage
High-impact
Topic
AI type
Sourcing
Vendor
Function
Start year

Only records with a parseable start date match a year filter.

Agency: DHS · Department of Homeland Securitytesting: affirmative

Practice-by-practice evidence

Denominator: 32 records · use cases designated high-impact
Reported in placeReported in progressNot applicablePrecluded by law or guidanceOther or ambiguous answer
PracticeIn scopeIn placeIn progressNot in placeN/APrecluded or waivedOtherNo answerAnsweredIn place of applicable
Pre-deployment testing3232000000100%100% of 32
AI impact assessment3226600000100%81% of 32
Independent review3226600000100%81% of 32
Ongoing monitoring3228400000100%88% of 32
Operator training3228400000100%88% of 32
Fail-safe3223306000100%88% of 26
Appeal process3290020300100%100% of 9
User and public consultation32181000130100%56% of 32

Answered = records with any answer ÷ records in scope. In place of applicable = reported in place ÷ (in scope minus not applicable, precluded and waived). Unanswered records stay in that denominator, so the rate is a lower bound on reported evidence, not an estimate of real practice.

Agency-by-safeguard heatmap

Cell: share reported in place, among applicable recordsIn placeAnswered
Agency by governance practice
TestingImpact assess.Indep. reviewMonitoringTrainingFail-safeAppealConsultationn
DHS100%81%81%88%88%88%100%56%32

Hatched cells: the agency answered nothing for that practice, so there is no evidence either way. Compare agencies with care: each agency is one reporting unit, and portfolios differ in size and type.

Records requiring further investigation

6 records with at least one practice unanswered or in progressOpen in explorer
Use caseStageTestAIAReviewMonitorTrainFail-safeAppealConsult
Babel
DHS · DHS-185
DeployedReported in placeReported in progressReported in progressReported in progressReported in progressReported in progressReported in placeOther or ambiguous answer
Passive Body Scanner
DHS · DHS-2380
DeployedReported in placeReported in progressReported in progressReported in progressReported in progressReported in progressNot applicableOther or ambiguous answer
CBP Translate
DHS · DHS-2388
DeployedReported in placeReported in progressReported in progressReported in progressReported in placeNot applicableNot applicableReported in place
Traffic Jam
DHS · DHS-2570
DeployedReported in placeReported in progressReported in progressReported in progressReported in progressReported in progressReported in placeOther or ambiguous answer
Mobile Fortify
DHS · DHS-2731
DeployedReported in placeReported in progressReported in progressReported in placeReported in placeReported in placeNot applicableReported in place
Verification Match Model
DHS · DHS-2384
DeployedReported in placeReported in progressReported in progressReported in placeReported in progressReported in placeReported in placeReported in progress

Unanswered analytical questions

Generated from the data; for follow-up with agencies
  1. 6 high-impact use cases are reported as deployed while their AI impact assessment is reported in progress. Was deployment authorised before the assessment was complete?
  2. 20 high-impact use cases mark an appeal process as not applicable. On what basis was each individual outcome judged not contestable?
  3. 3 high-impact use cases report using PII but give no link to a Privacy Impact Assessment. Is a PIA published elsewhere?

These are questions the inventory raises but cannot answer. They are not findings of non-compliance.