vendor-diligence

Automate second-line vendor diligence by using this Skill to generate diligence packs, assess inherent and residual risks, and collect evidence against regulatory criteria. It evaluates operational resilience, cybersecurity, privacy, and financial conditions for both AI and non-AI vendors.

A vendor diligence pack includes inherent and residual risk assessments, regulatory and operational frame evaluations, risk-based evidence collection, and exit strategy planning. It specifically reviews operational resilience, cybersecurity, privacy posture, and financial conditions.

Yes, vendor diligence supports assessing both AI vendors and non-AI vendors. The process handles regulatory and operational frame assessments, risk-based evidence collection, and residual risk analysis tailored to the specific type of vendor being evaluated.

Yes, a criticality-assessment is required as input data before performing residual risk analysis. You also need reference data from source-anchors and sector-specific overlays to accurately evaluate operational and regulatory risks.

Generate an exit strategy plan by analyzing the collected due-diligence evidence and regulatory criteria. The Skill identifies your exit posture and highlights specific gaps that need to be closed to ensure operational resilience.

Yes, vendor diligence requires sector-specific overlays to function correctly. These overlays, combined with source-anchors and criticality-assessment data, ensure the regulatory and operational frame assessment matches your industry requirements.