VA · VA-25-6903 · record R2145

Policy Knowledge Base

Department of Veterans Affairs · OEHRM: Office of Electronic Health Record Modernization

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: Not reported
Start date: Not reported
Withheld from public reporting: Not reported

Mission

Topic area: Cybersecurity
Operational functions: Search and knowledge retrieval, Cyber threat detection Derived by keyword rules; see methodology

Problem the AI is intended to solve

VA cybersecurity staff are challenged of managing and staying updated with an extensive array of documentation related to policies, processes, directives, and frameworks, which are essential for maintaining compliance and ensuring the security and privacy of VA information systems. VA RMF program continues to rely on human decision-making for risk-based decisions. This human-centric approach requires extensive involvement from various roles and generation/consumption of large amounts of artifacts and staffing resources.

Expected benefits

The AI model can help analysts quickly locate and reference the relevant VA policies to validate compliance and identify non-compliance.

System outputs

Compliance checklist results with policy references and recommendations.

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): 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