<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/3F8664C6-8AFE-4171-8AAE-9DAE56BA29E9" ns1:id="3F8664C6-8AFE-4171-8AAE-9DAE56BA29E9"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/D33B423B-7202-45D5-8EA9-BE5DE65127E6" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/100134D3-30A6-46BF-9F0A-2907EC18D8B6" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/100134D3-30A6-46BF-9F0A-2907EC18D8B6" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2026-04-29T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/E134455F-01A4-4F3F-8E57-152A23B0656C" ns1:rel="FUND" ns1:start="2025-11-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10173490</ns2:identifier></ns2:identifiers><ns2:title>Secore: using AI and quantitative assessment to assess, model and secure critical network infrastructure</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Fast Start Response</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>Secore's breakthrough technology assists decision-making in complex and costly IT data environments. Cyber security managers spend 10% of their budget and 22% of their time on threat assessment and mitigation, with 50% reporting breaches in 2024, collectively costing global business $6tn/year. To address this, Secore has developed a ground-breaking quantitative cyber assurance platform. Tested in-house, it reduced decision-making time by 40%, options assessment time by 70%, and threat-reduction costs by 80%. Here, we propose to add new AI capabilities to support whole-system assessment and predictive modelling.</ns2:abstractText></ns2:project>