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Unlocking value through proactive third-party risk management

Discover AI-driven risk transformation with the Deloitte and OneTrust alliance

Traditional third-party risk management (TPRM) relies on periodic assessments and can miss fast-emerging risks. To help address this challenge, organizations can use data intelligence to modernize TPRM for near real-time visibility and proactive decision-making.

Why now

As third-party ecosystems grow in scale and complexity, gaps in legacy risk frameworks increase the need for faster, better-informed decisions. Greater efficiency and integration are now critical, spurring investment in artificial intelligence (AI) and data intelligence capabilities to help teams sense risk earlier and respond quicker.

At the same time, the market faces a familiar reality: the ambition around AI is high, but maturity remains low. Deloitte Global’s TPRM 2025 survey, referenced in the Related Content section below, found 93% of responding leaders report low maturity in AI-enabled TPRM, even as organizations aim to adopt intelligent automation and manage both the opportunities and risks of AI across third-party ecosystems.

What does proactive TPRM look like?

In addition to performing periodic reviews or post-incident remediation, proactive TPRM continuously senses risk signals, anticipates potential issues, and takes preventive action before threats become incidents. This involves four capability shifts:

  • Embed continuous monitoring throughout the lifecycle
  • Leverage AI-powered risk management to augment human decision-making
  • Enhance program efficiency with “digital co-pilot” experiences
  • Use intelligent automation to shift focus from administration to decision

A practical path to modern TPRM

Our new thought leadership piece, Managing third-party risk proactively with data intelligence outlines a five-step path to modernizing TPRM, grounded in practical choices, priority use cases and the operating discipline required to sustain results. 

Step 1. Understand current market trends.
Step 2. Start now and establish continuous vigilance.
Step 3. Assess maturity to build a realistic roadmap.
Step 4. Implement priority use cases across the TPRM lifecycle.
Step 5. Learn, adapt, and create ongoing value. 

Ready to put these steps into action?

This five-step framework gives you a practical roadmap to assist with modernizing TPRM with data intelligence, moving from reactive assessments to proactive risk management that delivers real business value. Download the full POV to access detailed guidance, implementation strategies, and tools to help you get started with your organization's TPRM transformation today.

Managing third-party risk with data intelligence

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