Alation Data Catalog

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

Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.

Start date

2023-11 (month precision)Source: 11/2023

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Information Technology

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

The AI within Alation’s Data Catalog is designed to make data easy to find, understand, and use. It leverages machine learning and natural language processing (NLP) to automatically organize and tag data, creating a “map” of available information from various sources within an organization. The goal is that anyone looking for specific data can use simple, plain-language search terms, and the AI will help them locate the most relevant information quickly.

Expected benefits

Enable users to quickly find relevant data across large, complex datasets, making information more accessible for decision-making. Additionally, Alation’s AI automates data organization and governance, helping to keep data accurate, up-to-date, and secure. It also supports compliance and builds trust in data, empowering teams to make reliable, data-driven decisions.

System outputs

The Alation Data Catalog AI system primarily produces outputs that are recommendations and predictive insights to enhance data discovery, governance, and usability. AI outputs guide users toward more efficient and informed data management.

Technology

AI classification

Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).

System name(s)

Redacted for cybersecurity purposes.

Custom-developed code

Yes

Public source code

Not reported

Sourcing

How it was built

Purchased from vendorSource: a) Purchased from a vendor

Vendor (as reported)

Leidos

Vendors (standardized)

Leidos

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

Yes

Privacy Impact Assessment

Not reported

Authorization to Operate

Yes

Demographic features

This AI use case utilizes one or more of the demographic variables listed in compliance with all federal laws and agency regulations.

Training and evaluation data

The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.

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.

Potential impacts and how they were identified

Not reported