DOE · DOE-76 · record R3607
Deep Learning Malware Analysis for reusable cyber defenses.
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
- Cyber threat detection Derived by keyword rules; see methodology
Problem the AI is intended to solve
Not available
Expected benefits
Identify commonalities in malware
System outputs
Deep Learning Malware Analysis for reusable cyber defenses.
Technology
- AI classification
- Other
- System name(s)
- Not reported
- Custom-developed code
- Yes
- Public source code
- Not available
Sourcing
- How it was built
- Contract and in-houseSource: c) Developed with both contracting and in-house resources
- Vendor (as reported)
- Not available
- 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
- Data for malware binaries come mainly from open source malware repositories collected; @DisCo application dissassembles and stores into a graph db for management and vector embedded queries to identify common malware functions useful for cyber defenses.
- 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