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.
Potential impacts and how they were identified
Not reported