SBIR/STTR Research Award

XpressRules-PM: Commercial Implementation of PM/NGAC

Award identifier 8f9b8d5bc2c5ed79f1edc667618bf3d81a5ba04f6806dbb3bd66ae6b55c7bbaeAwarding agency Department of Commerce · National Institute of Standards and Technology

Award amount

$300,000

Program and phase

SBIR · Phase II

Award year

2018

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Award details

Awarding agency
Department of Commerce
Branch
National Institute of Standards and Technology
Recipient company
XpressRules LLC
Proposal award date
2018-07-19
Contract end date
2020-08-31
UEI
QJB8H5EMAST8
Solicitation number
2018-NIST-SBIR-02
Topic code
N/A

Research abstract

New Generation Access Control (NGAC)—because of its “neutrality by design”—represents the most effective and scalable approach for deploying “smart” access control and consent solutions in large dynamic scenarios. NGAC however presents with its own problems: (1) it has miniscule recognition and uptake in the workplace, (2) it is unusable by non-technical policy officers and (3) its documentation and wider “infosphere” are very early-stage. XpressRules-PM is a natural language-based NGAC toolkit for (1) equipping non-technical stakeholders—in their own words—to deploy privacy and consent policies, (2) enabling an organization to configure the product to fit their environment instantly, repeatedly and without IT assistance, (3) exposing its policy store to logicchecking and analytics, and (4) applying NGAC’s Decision Algorithm to perform real-time “dispute resolution” in an IoT information blockchain. For healthcare XpressRules-PM facilitates a “longitudinal patient consent™” to accompany a longitudinal patient health record through its migration. NGAC retains the rich semantics of relationships between entities. The NGAC “family of standards” expresses this semantics abstractly with a directed acyclic graph (DAG). Therefore the most appropriate implementation of NGAC is graph-based, running on a NoSQL platform. Phase II specifies Neo4j initially, but its design will support any NoSQL database product.

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

2 SBIR/STTR records share this UEI (2017–2018). Reported award amounts total $400,000. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Commerce

Agency intelligence

Department of Commerce

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