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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DOE · DOE-347 · record R3290

Network Security and Analysis

Department of Energy · IM-60 - IM Enterprise Operations and Shared Services (IM)

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
It does not meet the requirements to be high impact
Start date
2019-12-05 (day precision)Source: 2019-12-05T00:00:00
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Cybersecurity
Operational functions
Risk scoring and triage Derived by keyword rules; see methodology

Problem the AI is intended to solve

behavior of attack, triage

Expected benefits

Vectra AI is a Structured and Unstructured machine learning (ML) and Security -Led Artifical Intelligence (AI) tool used to detect patterns, anomalous or previously unseen activities inside petabytes of network and log data within the DOE HQ EITS networking boundary and cloud environments.

System outputs

Prediction: The Vectra AI Platform with Attack Signal Intelligence uses AI to analyze the behavior of attackers, automatically apply triage, correlate, and prioritize each security event or incident.

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)
Networks Enclave
Custom-developed code
No
Public source code
Vendor owned - code not available.

Sourcing

How it was built
Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported)
Vectra
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
Yes
Demographic features
Not reported
Training and evaluation data
Network Data flow and system logs
Federal Data Catalog
No

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