SBIR/STTR Research Award

Cyber Adversary Discovery Engine (CADE)

Award identifier 9c0953d4fe986a2b13ba1039a5856625682c7e903721df07d483b35dad665586Awarding agency Department of Defense · Navy

Award amount

$139,978

Program and phase

STTR · Phase I

Award year

2019

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
CHARLES RIVER ANALYTICS, INC.
Proposal award date
2019-06-03
Contract end date
2019-12-09
UEI
DD1BYN8SN355
Solicitation number
19.A
Topic code
N19A-T021

Research abstract

We propose to design and build the Cyber Adversary Discovery Engine (CADE) for forensic cyber analysis. CADE combines expressive behavioral modeling technology with machine learning to automatically recognize adversary behaviors, goals and tactics, techniques and procedures (TTPs). CADE can further automatically recognize changes in adversary TTPs that occur in forensic data. A key technical capability of CADE in addition to its automatic detection capabilities, is its ability to work as an intelligent collaborator with analysts performing forensic cyber analysis, allowing deeper insights and wider analysis than would otherwise be possible.

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

961 SBIR/STTR records share this UEI (1984–2026). Reported award amounts total $386,500,110. 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, Department of Health and Human Services, Department of Homeland Security, Department of Transportation, Department of Energy

Agency intelligence

Department of Defense

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