エピソード

  • Diego Panama on – AI-Driven GRC: The Next Enterprise Standard

    Diego Panama on – AI-Driven GRC: The Next Enterprise Standard
    2026/09/11
    What is the intersection of AI and compliance? What about machine learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. In this episode, host Tom Fox visits with Diego Panama, new CEO of LogicGate. Panama brings a disciplined, business-focused perspective to the future of AI-driven GRC platform strategy and risk management transformation. He believes AI is turning GRC from a reactive, checkbox exercise into a strategic, board-level capability, where a holistic platform can unify third-party, cyber, supply chain, and enterprise risks in real time. Rather than leaving professionals buried in operational tasks, he sees agentic AI handling assessments, recommendations, and continuous monitoring so teams can focus on risk appetite, governance, and business outcomes. For Panama, the future of GRC is increasingly autonomous but still human-led, with strong data governance, clear priorities, and responsible use of emerging technology enabling faster, more precise, and more valuable risk management. Key highlights: Scaling Past 100 Customers with Customer-First GRC AI Agents for Real-Time Global Risk Monitoring Enterprise-wide access and intelligent data interaction Conversational no-code UX with Config Newton agent GRC as the Key to Safe AI Adoption Resources: LogicGate Diego Panama on LinkedIn Tom Fox Instagram Facebook YouTube Twitter LinkedIn
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    26 分
  • The Psychology of AI Adoption at Work: Overcoming Fear, Identity Threat, and Shadow AI

    The Psychology of AI Adoption at Work: Overcoming Fear, Identity Threat, and Shadow AI
    2026/09/04
    What is the intersection of AI and compliance? What about machine learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. Today, Tom visits with Dr. Gleb Tsipursky about his book, The Psychology of AI Adoption at Work: From Resistance to Results (Georgetown University Press), arguing that AI adoption fails mainly due to human factors, not tool complexity. Citing Pew research showing widespread anxiety about AI and an MIT finding that 95% of AI pilots fail to scale, Dr. Tsipursky describes three emotional blockers: fear of job loss (“AI alarmists”), identity threat when AI automates work people take pride in (“pragmatic resisters”), and shame-driven “reluctant adopters” who use AI secretly, fueling shadow AI risk and limiting ROI. He advises leaders to commit to growth over layoffs, automate disliked tasks first, model AI use, and create sharing channels and meetings to normalize safe adoption. He also emphasizes governance with clear ethical guardrails and individual accountability, replacing approval bottlenecks that drive shadow use. Key highlights: Why AI Adoption Fails Three Emotional Blockers Trust and Social Stigma AI Versus Calculators Creating Psychological Safety Tactics for Identity Threat Ending Shadow AI Usage Ethical Guardrails and Governance What Success Looks Like Resources: Follow Dr. Gleb Tsipursky on: LinkedIn YouTube Facebook Instagram X (formerly Twitter) Book: The Psychology of AI Adoption at Work on Amazon Website: Disaster Avoidance Experts, LLC
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    35 分
  • Governance First: How Enterprises Deploy Agentic AI Safely with Nikunj Bajaj

    Governance First: How Enterprises Deploy Agentic AI Safely with Nikunj Bajaj
    2026/08/28
    What is the intersection of AI and compliance? What about machine learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. In this episode, host Tom visits with Nikunj Bajaj, Co-founder & CEO at TrueFoundry, to discuss enterprise agentic AI infrastructure, governance, and hidden costs. Nikunj Bajaj brings a practical enterprise lens to the rise of agentic AI, shaped by years of working at the intersection of model development and production infrastructure. He argues that enterprise AI is not just a technical challenge but also an organizational one, because federated teams adopting different tools can quickly create sprawl, inconsistent controls, and governance gaps. To address this, he advocates for a unified gateway layer that centralizes observability and control while still allowing teams to build with best-of-breed frameworks, paired with targeted safeguards like auditability, RBAC, guardrails, and the ability to inspect or revert agent actions. Bajaj also stresses that successful enterprise adoption requires disciplined cost management through FinOps, chargebacks, and budget guardrails so companies can move quickly toward ROI without letting agentic systems become a governance risk or a runaway expense. Resources: Connect with Nikunj Bajaj LinkedIn – Nikunj Bajaj Learn More About TrueFoundry TrueFoundry Website TrueFoundry on LinkedIn Tom Fox Instagram Facebook YouTube Twitter LinkedIn
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    31 分
  • Designing Compliance Into iGaming Products From Day One with Mouhcine Jalili

    Designing Compliance Into iGaming Products From Day One with Mouhcine Jalili
    2026/08/21
    What is the intersection of AI and compliance? What about machine learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. Today, Tom visits with Mouhcine Jalili, VP of Growth – iGaming at Software Mind, to reframe iGaming compliance as a design, delivery, and platform challenge rather than an end-stage legal checklist. Jalili brings 15 years of exclusive iGaming experience, having grown from operational roles into commercial, team growth, and technology-focused leadership, and he currently serves as Vice President for Growth in iGaming at Software Minds. He views operational compliance and governance as a design-and-delivery challenge rather than merely a legal checklist, because many of the biggest risks arise when product changes are rolled out across regulated markets without the right release management and controls. From his perspective, responsible gambling and other market-specific requirements should be engineered into the product from the start through automated controls, strong configuration management, and close collaboration between compliance, product, delivery, and engineering teams. Overall, Jalili believes iGaming governance works best when compliance is embedded directly into the system architecture and operational process, making the whole organization more resilient and easier to scale. Resources: Connect with Mouhcine Jalili on LinkedIn Software Mind Tom Fox Instagram Facebook YouTube Twitter LinkedIn
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    29 分
  • AI Governance as Compliance with Bennett Borden

    AI Governance as Compliance with Bennett Borden
    2026/08/14
    What is the intersection of AI and compliance? What about machine learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. Today Tom visits with Bennett B. Borden, a lawyer-data scientist and former CIA analyst who led DLA Piper’s global AI practice before founding Clarion AI Partners, an AI-focused law firm and development shop building AI solutions with governance “baked in.” Borden argues generative AI is transformative and that most legal work is highly repetitive and largely automatable, making traditional billable-hour law practice unsustainable. He frames AI governance as a compliance responsibility because AI operationalizes business objectives within regulatory constraints and must produce measurable, defensible proof of compliant behavior. He recommends cross-functional AI committees, using enterprise-licensed tools with enforceable policies, and building trust through controlled systems and quality controls. In a patchwork regulatory landscape, he emphasizes “reasonableness” and proving foreseeable risks are mitigated. He advises boards to oversee AI strategy, warns against delaying adoption, and urges compliance leaders to translate legal requirements into technical metrics (“governance engineering”). Resources: Bennett Borden on LinkedIn Clarion AI Partners Website Clarion AI Partners on LinkedIn Tom Fox Instagram Facebook YouTube Twitter LinkedIn
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    49 分
  • Deterministic Legal Reasoning, Trust, and Auditability in Compliance Automation with Paul Welter

    Deterministic Legal Reasoning, Trust, and Auditability in Compliance Automation with Paul Welter
    2026/08/07
    What is the intersection of AI and compliance? What about machine learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. Today Tom visits with Paul Welter, a German lawyer and former software engineer who co-founded Bayshore AI after research at Stanford Law School’s Codex on automating legal reasoning. Welter explains Bayshore’s approach: extracting legal decision logic into deterministic, conventional code for predictable, explainable outcomes, while using large language models to gather scenario facts and handle vague legal terms. They discuss regulation as infrastructure for trust and economic activity and how today’s complexity creates bottlenecks that AI can alleviate by providing legal and compliance advice “in abundance.” Welter describes tailoring assessments to each customer’s policies and risk appetite, embedding them into workflows, and building trust through transparency, second-line control, and auditability for regulators. He highlights automation candidates (e.g., gifts/hospitality, third-party reviews) and advises teams to centralize request intake, measure frequency and effort, and automate iteratively. Key highlights: Predictable Legal AI Regulation Enables Progress Encoding Policies, Not Laws Building Trust in AI Explainability and Audits Agentic AI Use Cases Resources: Paul Welter on LinkedIn Bayshore Website Bayshore on LinkedIn
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    29 分
  • Scaling Marketing Compliance with AI: Kunal Vankadara on Turning Compliance into a Strategic Partner

    Scaling Marketing Compliance with AI: Kunal Vankadara on Turning Compliance into a Strategic Partner
    2026/06/19
    What is the intersection of AI and compliance? What about Machine Learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. Today, Tom visits with Kunal Vankadara, CEO & Co-founder at Haast, about using AI to help regulated organizations scale compliance as content volume explodes and regulatory scrutiny increases. Kunal, a former attorney and ex-BCG consultant, describes how manual marketing and public-content review once worked when content cycles were slower, but he is now overwhelmed by AI-driven content creation, channel proliferation, and personalization. He explains that many compliance decisions are subjective and tied to organizational risk tolerance, which Haast “teaches” to AI agents to provide first-line content review, reduce iterations, and route only gray-area items for human approval. The discussion covers managing “false positives” via risk-tolerance tuning, creating competitive advantage through speed-to-market and personalization, using an ROI calculator focused on business outcomes, and making regulatory changes more actionable across the business. Key highlights: Why Manual Review Broke Why AI Fits Compliance Scaling Risk Tolerance Handling False Positives Compliance as Advantage Speed to Market Examples ROI Calculator Explained Resources: Kunal Vankadara on LinkedIn Haast Website: Haast Website LinkedIn: Haast LinkedIn Tom Fox Instagram Facebook YouTube Twitter LinkedIn
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    31 分
  • Understanding AI and Cyber Risk Management with Yakir Golan

    Understanding AI and Cyber Risk Management with Yakir Golan
    2026/01/30
    What is the intersection of AI and compliance? What about Machine Learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. Today, Tom visits with Yakir Golan, CEO & Co-Founder at Kovrr, who shares his professional journey from the Israeli intelligence community to his current role at Kovrr. They discuss Kovrr’s business, focusing on Cyber Risk Quantification (CRQ) and recent developments in AI risk governance. Yakir explains the evolution of AI’s impact on business workflows and the risks posed by generative AI, including ‘insider AI scenarios.’ He emphasizes the importance of a proactive approach to managing AI risks and of using financial models to report them to executives. The conversation also touches on balancing innovation with global regulatory requirements and the need for robust governance frameworks. Yakir underscores the importance of ongoing risk assessments, sound analytics, and communication strategies to enable compliance officers and corporate leaders to manage AI and cyber risks effectively. Key highlights: Impact of AI on Cyber Risk Insider AI Scenarios and Risks Proactive AI Risk Management Compliance Beyond Regulations Future of AI and Compliance Resources: Yakir Golan on LinkedIn Kovrr Tom Fox Instagram Facebook YouTube Twitter LinkedIn
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    31 分