SBIR/STTR Research Award

Revelio: A User and Entity Behavior Analytics System

Award identifier 6b1a6f3fbc905a81c3fbbed2b9b0a80cc500096e5a3c2ae7ab8dbe103c575520Awarding agency Department of Defense · Army

Award amount

$249,990

Program and phase

SBIR · Phase I

Award year

2024

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
ARCHITECTURE TECHNOLOGY INC
Proposal award date
2024-08-09
Contract end date
2025-02-12
UEI
U2DYBLL85L56
Solicitation number
24.4
Topic code
A244-013

Research abstract

Revelio is a User and Entity Behavior Analysis (UEBA) system that uses machine learning techniques to detect anomalous user behavior.Ā Revelio works off logs already collected by the Army in an Elastic Stack system.Ā Revelio employs multiple anomaly detectors working off different types of logs to increase the likelihood of detecting anomalies.Ā It uses reinforcement learning techniques to reduce false-positive rates.Ā Revelio is also able to raise the level of abstraction seen by operators from low-level detections to higher-level attacks.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

249 SBIR/STTR records share this UEI (1994–2025). Reported award amounts total $83,056,609. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, National Science Foundation, Department of Homeland Security, Department of Transportation, Department of Education

Agency intelligence

Department of Defense

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