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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DOE · DOE-701 · record R3558

Agentic AI for cybersecurity change request reviews

Department of Energy · NR HQ - Naval Reactors (NR)

Overview

Development stage
In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
Output of generative AI is administratively prohibited from being used as principal responses in the various scenarios considered high impact.
Start date
Not reported
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Cybersecurity
Operational functions
Cyber threat detection Derived by keyword rules; see methodology

Problem the AI is intended to solve

Use AI Agents for cybersecurity review of documents and structured data to improve processes and to help identify areas of risk.

Expected benefits

AI agents automate routine tasks, enhance decision-making, and improve operational efficiency. In addition, the AI Agent for cybersecurity will allow for a customized approach to tie specific requirement documents with structured data from a database.

System outputs

Depending on how the final product is designed, outputs can represent recommendations (e.g., suggesting a action), captured user inputs (like dates, names, or preferences), or contextual responses generated using AI.

Technology

AI classification
Agentic AISource: Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.
System name(s)
Not reported
Custom-developed code
Not reported
Public source code
Not reported

Sourcing

How it was built
Not reported
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
Not reported
Privacy Impact Assessment
Not reported
Authorization to Operate
Not reported
Demographic features
Not reported
Training and evaluation data
Not reported
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