Tristan Jones

Turn Board risk tolerance into an operational decision framework. A structured governance process that converts individual director perspectives into quantified risk appetite, resolves material disagreement, establishes Board-approved thresholds, and calibrates assessment severity across six enterprise risk domains. Board intent → risk thresholds → severity calibration → remediation priority.

Turn regulatory requirements into evidence-traceable coverage decisions. A governed, AI-assisted assessment of 568 institutional controls against 16 CRI v2.2 Identity and Credential Management capabilities — producing reproducible coverage conclusions, structured findings, remediation priorities, and a complete human-review audit trail. Every conclusion traceable. Every judgment reviewable. No client data leaves the environment.

Transform control coverage gaps into actionable threat intelligence by connecting CRI requirements to adversary behavior, defensive countermeasures, regulatory exposure, detection opportunities, and prioritized remediation. This demonstration shows how a defensible analytical chain can bridge GRC, cyber risk, and security operations while preserving evidence lineage and distinguishing assessed fact from analytical inference. AI-assisted, human-governed analysis with explicit provenance and review boundaries.

Turn unstructured control libraries into reusable governance intelligence. An AI-assisted classification engine that converts institutional controls into structured metadata across 18 action verbs, 7 dimensions, and SCF-aligned domains — enabling one control library to be systematically mapped across CRI, NIST CSF, SOC 2, PCI-DSS, ISO 27001, and other frameworks. Classify once. Map repeatedly. Preserve human judgment.