The way we interact with the internet is undergoing a fundamental shift from human-to-system to agent-to-system communication. In this episode, we sit down with Jonathan Wall, co-founder of Google Wallet and founder of RunLoop, to discuss how AI agents are beginning to manage commerce and payments on our behalf.

We dive deep into the emerging protocols that will allow AI to execute transactions, from buying consumer goods to paying for specialized data resources. Jonathan explains the taxonomy of agentic commerce and why machine-to-machine payments might arrive sooner than you think.

We also explore the critical security risks involved in delegating financial power to AI and how micro-virtual machines and restricted network environments can protect users and organizations.

Whether you are a risk professional, a software developer, or a business leader, this conversation provides a roadmap for the transition to an era of AI-leverage and digital abundance. Learn why being a system of record is the ultimate competitive advantage in a world where human interfaces are being disintermediated by intelligent agents.

If you enjoyed this deep dive into the future of AI and risk management, make sure to subscribe and hit the notification bell for more insights from industry leaders. Visit RunLoop dot AI to learn more about secure execution environments for AI agents.

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Is the private credit market heading toward a systemic crisis? Join us as we sit down with Scott Weller, CTO and co-founder of EnFi, to discuss how AI is bridging the gap between hidden document data and real-time risk assessment. Learn how lenders can avoid being blindsided by the next wave of defaults by upgrading their digital infrastructure. In this episode of the Risk Management Show, Scott shares insights from the front lines of the Silicon Valley Bank collapse and explains why the current blind spot in private credit poses a major threat to the industry.

We explore the limitations of traditional data rooms and how information trapped in manual documents leads to slow response times during global shocks. Scott explains the concept of a private credit stress index and why the industry must move beyond manual financial spreading to survive modern volatility.

We also dive into the role of agentic AI and Large Language Models in risk management. Scott clears up common misconceptions about data digitization projects and explains how organizations can unlock the value of their existing documents today without waiting for years-long consolidation projects to finish.

Whether you are a lender, an executive, or a risk professional, this conversation provides a roadmap for using technology to build institutional memory and maintain a competitive edge in an increasingly unpredictable market.

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Is your organization ready for the shift from simple AI tools to fully autonomous agents? In this episode, we dive deep into the world of agentic AI and why it represents the next major inflection point for compliance and risk management.

Matt Galvin, a partner at Steptoe and former Department of Justice counsel, joins the show to discuss the promise and peril of these new systems. Unlike standard models that simply provide answers, agentic AI moves into the realm of performing services autonomously, from booking flights to managing customer refunds.

This shift introduces significant governance challenges, including what Matt describes as an accountability crisis and a credibility crisis. We explore the ethical implications of bots making hyper-logical cost-benefit decisions that may clash with corporate culture.

The conversation also covers the transition from buying generic software to building bespoke internal systems, and how different generations of professionals can adapt to this rapidly changing landscape.

Matt provides actionable advice on how to audit your external spend and leverage AI to drive higher ROI in your compliance and legal programs.

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Is your company moving as fast as possible, or are your brakes holding you back? In the age of AI, your Third-Party Risk Management (TPRM) program is the only thing giving you the confidence to accelerate without crashing. Join host Boris Agranovich and guest Girish Redekar, co-founder of Sprinto, as they reveal why the invisible risk chain of your vendor's vendors could be the biggest threat to your growth.

In this episode, we dive deep into the shift from manual, questionnaire-based due diligence to autonomous, continuous monitoring. Girish explains why treating vendor management as a one-and-done task is a dangerous misconception that leads to massive blind spots. We also discuss the unique challenges posed by AI, where systems can change behaviour or hallucinate without any new code being deployed at your end.

Key topics include the automaker analogy for software recalls, the difference between third-party and fourth-party accountability, and how a strong security posture can actually shorten your sales cycles and boost your top-line revenue.

Learn how to transform your risk management from a back-office function into a strategic advantage that builds trust with customers and auditors alike. d How to Connect Want to stay ahead of the latest trends in risk and security?

Subscribe to our channel for more expert interviews and leadership strategies. You can find more about Girish and his work at sprinto.com.

In this episode of the Risk Management Show, we sit down with Clarence Chio, Cofounder & CEO at Coverbase to explore how vendor risk is evolving in the age of AI and interconnected ecosystems.

As organizations increasingly rely on third-party services, traditional approaches to risk management—like annual reviews and static assessments—are proving insufficient. Clarence shares insights on why continuous monitoring is becoming essential, how procurement is emerging as a critical control point, and how AI can help organizations stay ahead of vendor-related risks.

💡 Key Takeaways Vendor risk is continuous, not periodic: Annual reviews alone cannot keep pace with today's dynamic threat landscape.

Visibility is critical: Organizations need real-time insights into vendor behavior, not just compliance snapshots. Procurement is strategic: It plays a central role in enforcing security and risk standards. AI is a game changer: It enables earlier detection of anomalies and evolving risks across vendor ecosystems.

🚀 Key Topics Covered

1. From Internal Security to Ecosystem Risk

2. The Limits of Traditional Vendor Assessments

3. Lessons from the OpenAI–Mixpanel Incident

4. Annual Reviews vs. Continuous Verification

5. What Continuous Vendor Monitoring Looks Like in Practice

6. Procurement as the New Risk Gatekeeper

7. Misconceptions in Vendor Risk Management

8. The Role of AI in Vendor Risk Detection

🎯 Final Thoughts

Clarence emphasizes the need for a fundamental shift in how organizations think about third-party risk—from static compliance exercises to continuous, intelligence-driven monitoring. As ecosystems grow more complex, so must the strategies used to secure them.

🔗 About the Guest. Clarence Chio is the CEO and co-founder of Coverbase, a company focused on transforming procurement into a risk-aware, AI-driven advantage. He is also the author of Machine Learning & Security, a widely recognized resource at the intersection of AI and cybersecurity.

Thanks for listening! If you enjoyed this episode, be sure to subscribe and share it with your network.

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AI is evolving faster than our traditional security systems can keep up, and the risks are becoming increasingly psychological. In this episode, we dive deep into the hidden world of cognitive biases within AI models and why they represent the next frontier of risk management.

Join host Boris Agranovich as he speaks with Avi Pilser, CEO of Ultra Deep Tech, about the critical intersection of psychology and artificial intelligence. While most people focus on social discrimination bias, Avi explains why cognitive biases like anchoring and confirmation are the true roots of AI hallucinations and manipulation.

KEY TOPICS IN THIS EPISODE

🚀 BEYOND TRADITIONAL SECURITY

Discover why the old methods of cybersecurity are becoming obsolete in the age of AI agents. Avi explains the shift toward a holistic approach that treats AI as an alien intelligence with its own unique psychology.

🔍 DECODING COGNITIVE BIAS Learn how human biases are transmitted to AI through training data and reinforcement learning. We discuss how these biases lead to hallucinations and how tools like Lucid can detect 74 different biases in real time.

⚖️ NAVIGATING THE EU AI ACT We break down the implications of Article 5 and what GRC leaders must do before August 2026 to avoid prohibited manipulative practices and maintain customer trust.

📊 MEASURABLE AI CONTROLS Avi shares practical advice for risk teams and internal auditors on how to establish transparency and explainability using advanced metrics and safety shields.

Stay ahead of the curve in the rapidly changing world of AI risk. Make sure to LIKE this video and SUBSCRIBE to our channel for more expert interviews on risk, security, and leadership.

If you want to be our guest or suggest a speaker, send your email to info@globalriskconsult.com with the subject line "Podcast Guest".

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Discover exactly Why MORE Data Doesn't Mean BETTER Risk Models in this deep dive into credit risk. In this episode of the Risk Management Show, host Boris Agranovich is joined by Artem Lalaiants, CEO at RiskSeal, to explore the limitations of traditional credit bureaus.

We discussed the critical difference between data volume and data relevance. Artem shares why adding more of the same information fails to improve underwriting and how "orthogonal" data—such as digital footprints and subscription behaviors—can unlock financial services for the underbanked. You will learn strategies for expanding into emerging markets using real-time insights that do not rely on regional bureau coverage.

This conversation provides essential knowledge for any Chief Risk Officer or professional in Risk Management looking to modernize their credit scoring approach.

As the Global Risk Community brings you expert discussions on topics ranging from Cyber Security to Sustainability, we aim to keep you ahead of the curve.

If you want to be our guest or suggest a speaker, send your email to info@globalriskconsult.com with the subject line "Podcast Guest".

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Cyber and AI risks are no longer confined to IT departments. They directly impact strategy, trust, reputation, and long-term business sustainability.

Yet many boards and executives still struggle to translate technical risk into meaningful business insight. In this episode, we speak with Dr. Adeel Shaikh Muhammad about how business leaders can better understand, govern, and manage cyber and AI risks — without getting lost in technical complexity.

During the conversation, we explore: Why cyber risk today is fundamentally a business, trust, and reputation issue — not just a technical problem

The most common misconceptions boards and executives have about cybersecurity and AI governance;

How AI is expanding organizational risk exposure and reshaping how risk must be managed What non-technical leaders should look for to assess whether their organization is truly resilient;

Why trust is becoming a competitive advantage — and how cyber resilience and AI governance directly influence brand value and sustainability;

Practical, low-complexity steps organizations can take today to improve accountability, decision-making, and resilience From a leadership and governance perspective, what will separate successful organizations from those that struggle in the next 3–5 years.

This episode is designed for board members, C-suite executives, risk managers, CISOs, compliance leaders, and anyone responsible for navigating cyber and AI risk at the strategic level.

If you want to move from technical confusion to confident, business-focused risk leadership — this conversation is for you.

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