Third-Party Risk Prediction is the future of cybersecurity, but can you actually predict when a vendor will fail? In this episode of Third Party, we explore third-party risk prediction and whether forecasting vendor failure is realistic or just another false promise. If you’ve ever wondered how to identify hidden risks before they explode, this conversation delivers practical insights you can act on immediately.

Hosted by Jeffrey Wheatman, Bob Maley, and Ferhat Dikbiyik, this episode dives into the real signals behind vendor instability, from layoffs and geopolitical conflict to ransomware targeting patterns and operational blind spots. The team breaks down why correlation is often mistaken for causation, how attackers exploit chaos, and why most organizations still miss early warning signs. You’ll walk away with a clearer understanding of what can actually be predicted, what cannot, and how to build a smarter third-party risk strategy that goes beyond surface-level metrics.

What you’ll learn:

• How to identify early warning signals of vendor failure before a breach happens

• Why layoffs, automation, and global conflict can increase third-party risk exposure

• The difference between correlation and causation in risk modeling

• How attackers exploit chaos and weak vendor ecosystems

• Why vendor self-reporting often fails and what to rely on instead

Don’t risk missing the signals that matter. Learn how to spot risk earlier and make smarter third-party decisions before it’s too late.