In this episode of The Third Party Risk Institute Podcast, host Linda Tuck Chapman sits down with Stanley Lee, CEO and Founder of Net Switch, to explore how artificial intelligence (AI) and cybersecurity are transforming third-party risk management (TPRM).

With decades of experience in global technology, cyber governance, and workforce development, Stanley shares real-world lessons on how organizations can strengthen defenses, reduce vulnerabilities, and prepare for regulatory expectations. Together, we break down how AI tools, software bills of materials (SBOMs), and augmented intelligence (“human in the loop”) are changing the way businesses safeguard critical vendor relationships.

What we cover in this episode:
• Why CEOs remain uncertain about cybersecurity priorities and investment levels
• The role of AI in anomaly detection, false positive reduction, and continuous monitoring
• How to integrate SBOMs and penetration testing into your third-party oversight
• The importance of model risk management and independent validation of AI models
• Lessons from Target, SolarWinds, and Log4j for today’s supply chain and vendor oversight
• Building guardrails for ethical AI, governance, and executive decision-making

You’ll walk away with practical guidance on:
• Applying “trust but verify” to third-party AI solutions
• Defining KPIs that link cybersecurity investment to risk appetite
• Leveraging open-source tools and frameworks like MITRE ATT&CK for continuous resilience
• Becoming the “human in the loop” to ensure accountability and critical oversight

This episode is perfect for:
• Chief Risk Officers, CISOs, and Vendor Risk Managers
• Cybersecurity and Procurement Leaders
• Compliance, Audit, and Governance Professionals
• Anyone responsible for securing third-party ecosystems in highly regulated industries

If you like reading, check out our full blog post on AI, cybersecurity, and third-party resilience here: https://thirdpartyriskinstitute.com/modernizing-third-party-risk-management-with-ai/

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