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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DOE · DOE-467 · record R3338

Cyber Threat Enrichment

Department of Energy · NE INL - NE Idaho National Laboratory (NE)

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 available.
Start date
Not reported
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Other
Operational functions
Translation and transcription, Cyber threat detection Derived by keyword rules; see methodology

Problem the AI is intended to solve

Cyber threat analysis

Expected benefits

Enrich emerging cyber threat data with recent and past analysis data curated from the DOE-CESER Geo Threat Observable project and grid modernization project Deep Learning Malware using TBs of well structured cyber threat. Input vulnreability, weakness, malware inforamtion to find connections to well analyzed cyber threat including attack patterns, known exploited, spast mitigations and detections. When firmware binaries are analyzed and translated to structured threat used to create codified attack surfaces and Firmware or Software Bill of Materials (SBOM) for supply chain tracking

System outputs

Structured Threat Information Expression (STIX) data format providing actionable and implementable codified contextual data for use in cyber security products or if firmware binaries analyzed and translated to STIX output is codified attack surfaces and SBOM.

Technology

AI classification
Other
System name(s)
Not reported
Custom-developed code
Yes
Public source code
Not available.

Sourcing

How it was built
Developed in-houseSource: b) Developed in-house
Vendor (as reported)
Not reported
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
Open source threat intelligence collected, NLP used to scrape information off of cyber incident reports and websites, some data from cyber sensors, threat feeds and some data from manual threat analysis activities.
Federal Data Catalog
Not available.

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