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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 type1
Sourcing
Vendor
Function
Start year

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

Agency: DHS · Department of Homeland SecurityAI type: Natural language processing

Practice-by-practice evidence

Denominator: 8 records · use cases designated high-impact
Reported in placeReported in progressNot applicableOther or ambiguous answerNo answer reported
PracticeIn scopeIn placeIn progressNot in placeN/APrecluded or waivedOtherNo answerAnsweredIn place of applicable
Pre-deployment testing8310000450%38% of 8
AI impact assessment8130000450%13% of 8
Independent review8130000450%13% of 8
Ongoing monitoring8130000450%13% of 8
Operator training8220000450%25% of 8
Fail-safe8110200450%17% of 6
Appeal process8200200450%33% of 6
User and public consultation8210001450%25% of 8

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
DHS38%13%13%13%25%17%33%25%8

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

7 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
CBP Translate
DHS · DHS-2388
DeployedReported in placeReported in progressReported in progressReported in progressReported in placeNot applicableNot applicableReported in place
Open Source and Social Media Analysis
DHS · DHS-2538
DeployedReported in progressReported in progressReported in progressReported in progressReported in progressNot applicableReported in placeReported in progress
Smartphone Information Forensics Triage
DHS · DHS-2705
Pre-deploymentNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reported
AI Resume & ATS App
DHS · DHS-2721
Pre-deploymentNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reported
Real-Time Language Translation Services
DHS · DHS-2749
Pre-deploymentNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reported
USCIS Speech Translation Service
DHS · DHS-2514
Pre-deploymentNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reported

Unanswered analytical questions

Generated from the data; for follow-up with agencies
  1. 3 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. 2 high-impact use cases mark an appeal process as not applicable. On what basis was each individual outcome judged not contestable?

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