Federal AI Intelligence
Menu
Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DHS · DHS-399 · record R1959

Cyber Threat Analysis (Recorded Future)

Department of Homeland Security · CBP

Overview

Development stage
DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
Not reported
Start date
2024-06-20 (day precision)Source: 2024-06-20T00:00:00
Withheld from public reporting
Not reported

Mission

Topic area
Law Enforcement
Operational functions
Document processing and extraction, Forecasting and prediction Derived by keyword rules; see methodology

Problem the AI is intended to solve

The system uses the Recorded Future's platform to streamline CBP Cyber Threat Intelligence (CTI) operations by automating the identification and analysis of relevant cyber threat activity and leverages AI/ML to transform unstructured text into structured data using natural language processing, classify events and entities to prioritize threats, forecast events through predictive modeling, and represent structured knowledge using ontologies. It enables analysts to rapidly assess vulnerabilities in CBP’s IT environment, identify adversary data, and generate cyber risk assessments, providing actionable intelligence to enhance efficiency and support Security Operations and Cyber Risk Management investigations.

Expected benefits

Cyber Threat Analysis quickly populates query results when searching against adversary tactics, techniques, and procedures, establishing a threat scorecard. This service can also provide cyber risk scorecards for third party vendors, companies, and organizations.

System outputs

Actionable intelligence supporting Security Operations Center (SOC) and Cyber Risk Management (CRM) investigations and reports.

Technology

AI classification
Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s)
Not reported
Custom-developed code
No
Public source code
Not reported

Sourcing

How it was built
Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported)
Recorded Future
Vendors (standardized)
None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII
No
Privacy Impact Assessment
Not reported
Authorization to Operate
No
Demographic features
Not reported
Training and evaluation data
Recorded Future AI is trained on over 10 years of threat analysis from Insikt Group, the company’s threat research division, and is combined with the insights of the Recorded Future Intelligence Graph.
Federal Data Catalog
Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported