i-GENTIC AI, Inc

Model-Agnostic Governance in Third-Party Risk Operations: Why Trust Depends on How Systems Act, Not Which Models They Use

Large enterprises increasingly rely on AI to manage third-party risk. Vendor assessments, security questionnaires, SOC reports, contractual reviews, and remediation workflows now move across multiple systems and clouds, often with AI assisting at each step. At the same time, enterprises are operating in a multi-model environment. Different teams use different models for summarization, extraction, classification, and reasoning. That reality is not going away. Jensen Huang summarized the direction clearly at CES 2026: “It should be able to use any model that best fits the task.” That statement has an immediate implication for CIOs and CISOs. If models are interchangeable, trust cannot depend on model selection. Governance has to sit above the model layer and shape how systems act as third-party data moves through enterprise workflows. Governance and trust are one