SSA · no agency ID · record R3117

Application Observability Support

Social Security Administration · Chief Information Officer, System Operations and Hardware Engineering

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 reported
Start date: 2025-04-03 (day precision)Source: 4/3/2025 0:00
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Cybersecurity
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

To assist OCIO users in monitoring critical applications for performance and availability management on premises and in the cloud environment. AI is used to create a baseline based on a weeks’ worth of data. When the data collected significantly deviates from the baseline alerts are sent to appropriate OCIO user base.

Expected benefits

Performance issues are addressed as soon as possible to avoid critical applications failure that would impact SSA's business processes. Incident summary produced creates an opportunity for future risk avoidance and mitigation processes through after actions steps.

System outputs

System failure or degradation alerts, incident reports and application trending.

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): ACI
Custom-developed code: No
Public source code: Not reported

Sourcing

How it was built: Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported): Dynatrace
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: None of our data is used to train or fine-tune this.
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