What is Cognitive GRC and How Does AI Fit Into Third-Party Risk Management?

AI is changing how organizations manage third-party risk in two different ways: it is a new tool for running TPRM programs more efficiently, and it is a new risk that vendors themselves introduce. This webinar breaks down both sides, from practical AI applications inside a TPRM program to how to assess and govern AI risk across your vendor ecosystem. What is Third-Party Risk Management? Third-party risk management (TPRM) is the capability that allows an organization to reliably achieve its objectives, manage uncertainty, and maintain integrity and compliance across its extended enterprise of vendors, suppliers, and contractors. Many organizations still run TPRM through manual, fragmented processes, spreadsheets, email chains, and disconnected tracking, which creates gaps in oversight as vendor relationships scale. Two Ways AI Intersects with TPRM Cognitive GRC Using AI to make governance, risk, and compliance processes more efficient, effective, resilient, and agile. This includes automating repetitive TPRM tasks and using AI to surface risk signals faster than manual review allows. AI GRC Governing the use of AI itself, both internally and within third-party relationships, to address risks such as data privacy, algorithmic bias, and legal liability introduced by AI tools your vendors use. Practical AI Applications in TPRM Machine and Deep Learning Used for predictive analytics to forecast risks such as financial fraud before they materialize into losses. Natural Language Processing (NLP) Enables systems to read and interpret complex documentation, including policies and contracts, often identifying relevant clauses and risk language with greater consistency than manual review. Robotic Process Automation (RPA) Automates routine, repetitive TPRM tasks, reducing human error and freeing up risk teams for higher-value analysis. Generative AI Assists with drafting policies, populating vendor assessment questionnaires, and creating synthetic data for stress testing risk scenarios. Governing Third-Party AI Risk - TPRM programs need a clear approach to: Identifying AI as a distinct risk domain within existing third-party risk frameworks Understanding regulatory exposure, including the impact of the EU AI Act and other emerging AI-related legislation on third-party preparedness Clarifying ownership, specifically who owns AI risk within an organization and who is responsible for managing it day to day Establishing oversight mechanisms that ensure third-party AI usage aligns with the organization's own governance standards Moving from Manual Processes to Cloud-Enabled Platforms Organizations that rely on spreadsheets and manual tracking cannot scale AI-related oversight effectively. Modern platforms integrate internal vendor data with external risk intelligence, including sanctions lists, ESG ratings, and security scorecards, to provide a more complete view of third-party risk. AI should extend the capabilities of risk and compliance teams, not replace them; any AI implementation still requires rigorous human governance and testing. What You Will Learn Tools to integrate AI as a formal risk domain within your TPRM program The impact of the EU AI Act and related legislation on third-party AI preparedness The roles involved in managing AI risk: who owns it and who is responsible for it Q: What is Cognitive GRC? A: Cognitive GRC refers to using artificial intelligence to make governance, risk, and compliance processes more efficient, effective, resilient, and agile. It focuses on applying AI as a tool to improve how TPRM and broader GRC programs operate. Q: How is AI used in third-party risk management? A: AI supports TPRM through predictive analytics for risk forecasting, natural language processing for reviewing vendor contracts and policies, robotic process automation for repetitive tasks, and generative AI for drafting assessments and policy documentation. Q: How does the EU AI Act affect third-party risk management? A: The EU AI Act requires organizations to assess AI systems by risk level, including those used by third-party vendors, and apply corresponding due diligence and compliance obligations. TPRM programs need to incorporate AI-specific questions and contract requirements to address this. Q: Should AI replace human oversight in TPRM programs? A: No. AI should extend the capabilities of risk and compliance professionals by handling repetitive analysis and surfacing risk signals faster, but any AI implementation still requires rigorous human governance, testing, and review before decisions are finalized. 5 Ways to Leverage AI in Third-Party Risk Management: https://mitratech.com/resource-hub/bl... Related Topics: Third-Party Risk Management | AI Governance | Vendor Risk Management | Cognitive GRC | EU AI Act | Generative AI | Natural Language Processing | Robotic Process Automation | GRC Platform | Vendor Risk Assessment