Risk Management Show

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.
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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 [email protected] 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 [email protected] 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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In this episode of the Global Risk Community Podcast, we dive into "The AI Data Privacy Risk Financial Advisors Ignore." Join host Boris Agranovich as he speaks with Daniel Yoo, founder and CEO of Finmate AI, an AI-powered note-taking assistant designed exclusively for financial advisors.
With years of experience managing $800 million in client assets and expertise in AI development, Daniel brings a unique perspective to the critical intersection of risk management, cyber security, and sustainability in financial services. 
We discussed the ticking data privacy time bomb in financial service technology, the risks of using generic AI safeguards, and why proper data deletion policies are vital.
Daniel shares insights into the sensitive information captured during client meetings, the challenges of balancing innovation with regulatory compliance, and the misconceptions surrounding AI scalability in finance. He also highlights red flags risk managers and compliance officers should watch for when evaluating AI vendors. 
If you want to be our guest or suggest a guest, send your email to [email protected] with the subject line "Guest Proposal."