AI and TPRM Are Colliding and It's Changing Risk Management Forever

Most organizations still treat third-party risk management as a checkbox exercise—something driven by auditors or regulatory pressure. But Adelani Adesida makes a compelling case for flipping that script.

TPRM, he argues, is not only about avoiding risk—it's about enabling speed, scale, and smarter decisions. Organizations that truly embrace it can reduce onboarding times, predict risk events, and even use third-party data as a competitive edge. Why just monitor risk when you can weaponize it?

But here’s where it gets uncomfortable: if your TPRM strategy hasn’t evolved to integrate AI, continuous monitoring, and business-aligned risk intelligence, you're already behind.

From parsing thousands of SOC 2s to automatically assigning risk scores, Edeshada shows how AI is no longer a “nice-to-have”—it’s a necessity. And yet, many firms are stuck using spreadsheets and blunt tools in a world that demands surgical precision. It’s time to ask: is your organization investing in third-party risk—or gambling with it?