
Agency dossier · SEC
Securities and Exchange Commission
60 reported use cases, 1.7% of all federal records. Rank reflects what was reported, not performance.
#12by records#12by deployed#15by high-impact#26by completenessof 41 agencies
Disclosure completeness66%Mean of 12 core fields
Technology portfolio
Click a segment for recordsMission mix
Topic area as reportedLifecycle
60 recordsWithin each stageHigh-impact · Gen./agentic
Pre-deployment0%65%
Pilot0%100%
Deployed0%35%
Retired0%0%
Lifecycle timeline
By agency-reported start yearGenerative or agenticOther or unclassified23 of 60 records report a parseable start date
Position against all agencies
This agency vs the federal inventoryDeployed share33%vs 29%
High-impact share0%vs 12%
Generative or agentic45%vs 27%
Sourcing reported42%vs 44%
In-house development28%vs 28%
Disclosure completeness66%vs 67%
Cyan: SEC. Ring: all 3,611 records. Differences describe reporting, not quality.
Governance evidence
0 high-impact use cases · share reported in placeThis agency designated no use cases as high-impact, so the minimum-practice questions did not apply.
No answer is missing evidence, not evidence that a safeguard is absent. Click a segment to open those records.
Sourcing and vendors
Sourcing reported for 42%- 8-K Filing SolutionDeployedSEC-5 · Computer vision · Other · Division of Corporate Finance (CF)
- Training Conversation ToolDeployedSEC-6 · Natural language processing · Human Resources · Office of Human Resources (OHR)
- Name MatchingDeployedSEC-19 · Classical / predictive ML · Other · Division of Examinations (EXAMS)
- Parsing of Plain Language Descriptions to Machine-Readable NotationsDeployedSEC-20 · Classical / predictive ML · Other · Division of Examinations (EXAMS)
- Using Natural Language Processing Techniques to Search and Analyze Certain FilingsDeployedSEC-23 · Natural language processing · Other · Division of Examinations (EXAMS)
- Using Machine Learning/Artificial Intelligence Techniques to Predict Entities With Certain Risk CharacteristicsDeployedSEC-24 · Classical / predictive ML · Other · Division of Examinations (EXAMS)
- Developed Parsing Logic for FilingsDeployedSEC-25 · Reinforcement learning · Other · Division of Examinations (EXAMS), Division of Economic and Risk Assessment (DERA), Office of the Chief Data Officer (OCDO)
- Identification of Potentially Manipulative Activity in Certain AccountsDeployedSEC-26 · Classical / predictive ML · Other · Division of Examinations (EXAMS)
Comparable portfolios
Most similar technology mixSimilarity is the cosine of each agency's AI-classification counts (unreported excluded); agencies with 10+ records. Click to compare side by side.
Operational functions
Keyword-derived tagsField completeness vs. all agencies
Share of records with the field filledStage
100% vs 91%
High-impact designation
100% vs 88%
Topic area
80% vs 83%
AI classification
80% vs 82%
Problem
80% vs 84%
Benefits
80% vs 82%
Outputs
80% vs 79%
Sourcing
42% vs 44%
Start date
38% vs 39%
ATO
40% vs 43%
PII
38% vs 42%
Custom code
35% vs 47%
Bar: this agency. White tick: all agencies. A gap is a reporting gap, not a finding about the systems.