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AI For Third-Party Risk Management

AI for Third-party Risk Management – going beyond the hype to build a practical approach to machine learning

When vendors start talking about using AI for TPRM, many people envision a scenario in which they give up user control of the system and put the technology in charge of the process.

In fact, a practical and strategic approach to AI doesn’t replace human intelligence at all; it reflects, refines, and complements it, so that humans are more efficient at making better decisions that result in better outcomes.

This paper is intended to clear up some of the uncertainty about the use of AI in TPRM programs, including what it is, what it can and can’t do, and how you can successfully apply it to predict and mitigate third-party risk in your organization.

White Paper Cover - AI for Third Party Risk Management

Download the whitepaper to learn:

  • What is AI?
  • How does AI apply to TPRM
  • Benefits of AI for TPRM
  • What AI isn’t
  • The Aravo Decision Engine



Download Whitepaper