『Compliance and AI』のカバーアート

Compliance and AI

Compliance and AI

著者： Thomas Fox
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What is the role of Artificial Intelligence in compliance? What about Machine Learning? ChatGPT? These questions are but three of the many questions we will explore in this exciting new podcast series, Compliance and AI. Hosted by Tom Fox, the award-winning Voice of Compliance, this podcast will look at how AI will impact compliance programs into the next decade and beyond. If you want to find out why the future is now, join Tom Fox on this journey to the frontiers of compliance. マネジメント・リーダーシップ リーダーシップ 科学 経済学
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  • 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
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