Third-Party Risk
The exposure arising from reliance on external data providers, model vendors, or service platforms that may introduce compliance or security vulnerabilities.
Involves due-diligence on vendors’ data-protection practices, security controls, and governance maturity. Contractual measures include SLAs, audit rights, and indemnification clauses. Governance teams maintain a third-party registry, conduct periodic risk assessments (e.g., SOC-2 reports), and monitor vendor performance. High-risk vendors trigger enhanced oversight: penetration tests, compliance audits, and contingency plans for vendor failure.
A bank’s AI team evaluates a third-party fraud-detection API by reviewing its SOC-2 Type II report, conducting a security questionnaire, and running an ethical-AI audit of its model. The vendor is classified as “High Risk,” requiring quarterly re-audits and a fallback plan to switch to an in-house solution if standards slip.
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What problem does Enzai solve?
Enzai provides enterprise-grade infrastructure to manage AI risk and compliance. It creates a centralized system of record where AI systems, models, datasets, and governance decisions are documented, assessed, and auditable.
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How is Enzai different from other governance tools?
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