AI Vendor Risk Assessment

AI Vendor Risk Assessment is a structured evaluation of third-party AI systems, vendors, and suppliers conducted from the perspective of the procuring organisation's regulatory obligations. Under the EU AI Act, organisations that deploy AI systems bear compliance responsibilities regardless of whether the system was developed in-house or procured from a vendor. This service helps organisations understand the risk profile of AI vendors before procurement, during onboarding, or as part of ongoing vendor governance, ensuring that contractual terms and technical controls adequately address regulatory obligations.

What are the results of this service?

The assessment delivers a comprehensive vendor risk profile covering the AI system's risk classification under the AI Act, the vendor's compliance posture, and the distribution of regulatory obligations between provider and deployer. Technical evaluation covers model documentation completeness, training data governance practices, bias and fairness testing evidence, explainability provisions, and human oversight mechanisms. Data governance findings address data processing locations, transfer mechanisms, retention practices, and whether the vendor's data handling meets GDPR requirements applicable to the deploying organisation.

Contractual analysis identifies gaps in existing vendor agreements regarding liability allocation, conformity documentation access, incident notification obligations, and cooperation requirements for regulatory audits. The assessment produces a vendor risk scorecard with ratings across compliance, technical, data governance, and contractual dimensions, accompanied by specific remediation recommendations and suggested contract amendments. Organisations with multiple AI vendors receive comparative analysis enabling portfolio-level risk prioritisation.

How does this service help you?

Procurement and vendor management teams receive objective evidence to support vendor selection decisions, contract negotiations, and ongoing vendor performance monitoring. CISOs and IT managers gain visibility into AI-specific risks introduced through the supply chain, complementing existing vendor risk management frameworks. Compliance officers receive documentation demonstrating that AI vendor risks have been assessed and managed in accordance with the AI Act's deployer obligations, supporting regulatory reporting and audit readiness. Legal teams benefit from identified contractual gaps and recommended amendments that allocate AI Act obligations appropriately. Up Secure delivers this assessment by combining vendor risk management methodology with AI Act regulatory expertise, providing evaluations that address both technical and legal dimensions of third-party AI risk.