CyConex uses AI to accelerate the slowest part of assurance: reading, interpreting, and connecting evidence against control requirements. Every assessment shows how evidence was considered, filtered, and cited.
AI agents propose evidence-to-control mappings and draft structured outputs, but accountability stays with qualified assessors who validate scope, review judgements, and approve what goes into formal reports.
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No. AI agents accelerate evidence gathering and review, but accountability stays with qualified assessors. Reviewers validate scope, review IGP judgements, and approve every output that goes into a formal report, so conclusions remain defensible.
Yes. CyConex works with the full CAF catalogue, including Indicators of Good Practice. It surfaces relevant evidence for each contributing outcome and helps teams record achieved, partially achieved, or not achieved judgements with traceable references — IGPs inform conclusions, they do not replace expert judgement.
CyConex is an AI-assisted cyber assurance platform built for UK NCSC CAF assessments. It ingests evidence, surfaces it against contributing outcomes and IGPs, and helps qualified assessors reach evidence-led judgements faster — turning days of assurance work into minutes.