Third Party

Third Party

If you manage third-party cyber risk, you’ve seen it all: meaningless scorecards, black-box tools, and endless frameworks that never quite connect to business impact. Third-Party is the podcast built for the people behind the dashboards. The ones managing 5,000 vendors with a team of three. Hosted by Jeffrey Wheatman, Ferhat Dikbiyik, and Bob Maley, this show unpacks what actually works (and what doesn’t) in TPRM. No fear tactics. No buzzwords. Just unfiltered conversations, sharp insights, and the occasional roast of a really bad SIG questionnaire.

  1. 17 thg 6

    The Hidden Signals Predicting Vendor Collapse

    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.

  2. 4 thg 6

    Mythos Hype Check: TPRM Paradigm Shift or Big Nothing Burger

    A new AI model called Mythos promises to find vulnerabilities faster than any human team. But what does that actually mean for the security leaders responsible for managing third-party risk? In this special episode, Jeffrey Wheatman is joined by Bob Maley, Ferhat Dikbiyik, and Black Kite co-founder and CTO Candan Bolukbas to break down what Mythos and Project Glasswing actually change, and what they don't. The numbers are already alarming. Forty-eight thousand CVEs published in 2025. A 43-day mean time to patch. An exploitation window that has gone negative, meaning threat actors are exploiting vulnerabilities an average of seven days before defenders even know they exist. Mythos accelerates vulnerability discovery, but as the team makes clear, discovering more vulnerabilities faster only matters if you have a program built to handle it. In this episode, you will learn: What Mythos and Project Glasswing actually are and why the hype may be outpacing the reality Why the vulnerability deluge is already unmanageable with traditional CVSS-based prioritization How the 135-day embargo window affects your third-party exposure Why fourth-party risk, meaning what your vendors run rather than just who they are, is becoming the real blind spot What SBOMs have to do with the future of supply chain vulnerability management The three things security leaders should do right now to prepare their programs This is not a theoretical conversation. It's the one your program needs before the window closes.

  3. 6 thg 5

    Why Automation Is Creating More Cyber Risk

    Automation vs Accuracy in TPCRM is one of the biggest challenges in modern third-party risk management. In this episode, we break down how the push for faster automation is impacting accuracy, and what that means for your TPCRM program. If you’re relying on automation to scale vendor risk assessments, this conversation will help you avoid costly blind spots and make smarter decisions. Jeffrey Wheatman, Bob Maley, and Ferhat Dikbiyik unpack the real tradeoffs between speed and accuracy in TPCRM, exploring how automation can both strengthen and weaken your risk posture. They discuss the dangers of over-relying on data, where AI-driven decisions fall short, and why human judgment still plays a critical role in identifying real risk. This episode is essential for anyone responsible for vendor risk, cybersecurity, or compliance who wants to scale effectively without sacrificing confidence in their decisions. In this episode, you’ll learn: How automation in TPCRM can unintentionally increase risk The hidden tradeoffs between speed and accuracy in vendor assessments Why more data doesn’t always lead to better decisions Where AI and algorithms fall short in real-world risk scenarios How to balance automation with human judgment for better outcomes Practical ways to improve visibility and decision-making in your TPCRM program Don’t risk scaling bad decisions faster. Learn how to balance automation and accuracy to protect your business.

  4. 22 thg 4

    How to Calculate the Real Cost of a Third-Party Breach

    Calculating the real financial impact of a third-party breach is one of the hardest challenges in cybersecurity today. In this episode, Jeffrey Wheatman, Bob Maley, and Ferhat Dikbiyik explore how organizations can move beyond vague warnings about risk and start putting real numbers behind the potential cost of a third-party breach. If you want security leaders, executives, and boards to take third-party cyber risk seriously, you need to understand how to quantify its financial impact. Many security teams still rely on qualitative risk language like “high,” “medium,” or “critical,” but those labels rarely drive action. Jeffrey, Bob, and Ferhat break down why calculating the financial impact of a third-party breach is essential for communicating with executives, prioritizing vendors, and securing the right investments in risk management. From understanding uncertainty to building models that are accurate enough to guide decisions, this conversation offers practical insight into how leading teams estimate breach costs and translate cyber risk into business language. In this episode, you’ll learn: Why calculating the financial impact of a third-party breach is critical for executive decision making How security leaders translate cyber risk into dollars, euros, or pounds Why “something bad could happen” is not enough to justify cybersecurity investment The difference between precision and usefulness when modeling cyber risk How risk quantification helps prioritize vendors and third-party exposures Why boards and executives respond better to financial risk than technical risk language Don’t risk letting third-party cyber risk remain invisible to leadership. Learn how to calculate the real financial impact of a third-party breach and turn risk conversations into decisions that protect your organization. 0:00 Introduction & Teaser 0:50 Welcome & Episode Overview 2:01 Guest Introduction: Jack Jones & the Origin of FAIR 7:17 Challenges to Implementing Risk Quantification 10:57 Wrap-Up with Jack Jones 11:23 Calculating Financial Impact of a Third-Party Breach 25:54 Precision vs. Accuracy in Risk Models 30:01 Research Roundup: Cybersecurity Outlook 2026 36:44 Agree or Disagree 39:41 Outro & Next Episode Preview

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Giới Thiệu

If you manage third-party cyber risk, you’ve seen it all: meaningless scorecards, black-box tools, and endless frameworks that never quite connect to business impact. Third-Party is the podcast built for the people behind the dashboards. The ones managing 5,000 vendors with a team of three. Hosted by Jeffrey Wheatman, Ferhat Dikbiyik, and Bob Maley, this show unpacks what actually works (and what doesn’t) in TPRM. No fear tactics. No buzzwords. Just unfiltered conversations, sharp insights, and the occasional roast of a really bad SIG questionnaire.

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