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.
Potential impacts and how they were identified
Not reported