Aki Eldar | Using AI to Solve the TPRM Data Overload

Episode Summary: The volume of data in Third-Party Risk Management has become unmanageable for manual teams. In this episode of Third Party Therapy, Mike Day sits down with Aki Eldar, founder of Mirato, to discuss how Artificial Intelligence is moving from a "future concept" to a practical tool. Aki explains how AI can automate the heavy lifting of evidence analysis—reading SOC2s and ISO certs for you—so that risk professionals can focus on making actual decisions rather than just processing paperwork.

00:00 – Introduction: AI as a risk vs. an opportunity

03:15 – Aki’s 30-year journey: From Cybersecurity & DLP to TPRM

11:40 – The "Mountain of Evidence" problem in modern risk management

19:25 – How AI actually "reads" and validates third-party documentation

27:50 – "Shadow AI": Managing the risks of unauthorized AI use in your business

36:10 – Why AI won't replace the human-in-the-loop

44:30 – The "MVP" Strategy: Why you should start standalone and scale later

52:15 – Closing thoughts and how to avoid the "Everest" trap

• Automated Analysis: Move beyond simple data collection. Learn how AI can cross-check supplier questionnaires against their actual evidence (like SOC2 reports) to find gaps instantly.
• The Productivity Shift: By automating the "boring" work, AI allows risk managers to focus on the 20% of high-risk cases that actually require human expertise.
• Managing Shadow AI: Aki shares critical insights on how to handle employees using tools like ChatGPT and the data privacy risks that come with "dirty" AI models.
• Don't Climb Everest at Once: Why a "Minimum Viable Product" (MVP) approach is the most successful way to implement AI without disrupting your entire organization.

• Official Website: thirdpartytherapy.com
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Keywords: #AI #ArtificialIntelligence #TPRM #ThirdPartyRisk #RiskAutomation #Mirato #CyberSecurity #RiskManagement #DigitalTransformation #ThirdPartyTherapy #SupplyChainRisk