Is the pace of change in Third-Party Risk Management (TPRM) keeping up with the complexities of the modern marketplace? In this episode of Third Party Therapy, Mike Day sits down with Clarence Chio, founder of Coverbase.
Clarence, a Stanford-trained engineer and cybersecurity veteran, shares his unique perspective on the "assessor fatigue" felt by both sides of the table. They dive deep into how AI can move beyond just making existing processes "faster horses" and instead fundamentally change how trust is established between organizations.
🕒 Timestamps
00:00 – Introduction: Is TPRM falling behind the market?
03:45 – Clarence’s Journey: From Stanford to Anti-Money Laundering (AML)
12:10 – The "Assessor’s Dilemma": Why busy work doesn't always equal risk reduction
21:30 – The Pace of Change: Why traditional assessments are static in a dynamic world
30:50 – AI & Coverbase: Moving from manual checklists to automated trust
38:15 – The "Faster Horse" Problem: Re-imagining the future of TPRM
47:40 – Elevating the Job: How automation allows risk managers to focus on strategy
55:30 – Closing thoughts: Mapping out the next 5 years of TPRM
💡 Key Takeaways
- The Problem with Static Assessments: Clarence explains why an annual review is often obsolete the moment it's finished and how the pace of software updates requires a new approach to monitoring.
- Assessor Fatigue: Insight into why critical vendors feel "put through the wringer" and how this friction actually hinders true risk transparency.
- AI as an Efficiency Engine: How Coverbase uses AI to bridge the gap, allowing for a more holistic and real-time understanding of vendor security postures.
- Rethinking the Function: Why the industry needs to stop asking for "faster horses" (doing the same manual tasks quicker) and start looking for the "automobile" (fundamentally changing the workflow).
🔗 Connect & Resources
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Keywords: #TPRM #ThirdPartyRisk #ClarenceChio #Coverbase #Cybersecurity #AI #RiskAutomation #VendorManagement #SupplyChainSecurity #ThirdPartyTherapy #Innovation
