SummaryAlec Crawford and Anastassia discuss the intersection of AI, cybersecurity, and regulatory compliance in the context of data and digital technologies. Alec shares insights on AI risk governance, the importance of data literacy, and the evolving landscape of cybersecurity threats. They explore the role of AI in combating cybercrime, the challenges of underwriting and pricing cybersecurity risks, and the need for centralized AI governance within organizations. Alec emphasizes the importance of training and change management in AI adoption. Alec is the founder and CEO of Artificial Intelligence Risk, Inc., a platform focused on AI safety, security, and compliance for enterprises. A former Chief Risk Officer and senior risk executive at major investment firms, he now advises boards and financial institutions on how to balance the risks and rewards of AI. He writes the AI Risk Reward / STAYblog newsletter on Substack and hosts the AI Risk Reward podcast, where he explores use cases, governance challenges, and the broader societal impacts of artificial intelligence. His work lies at the intersection of sustainability, technology, and risk management, with a particular focus on securely integrating high‑risk AI systems into heavily regulated sectors such as banking and wealth management.​ Takeaways AI is crucial in combating cybercrime. Today, you fight AI with AI.Data literacy is essential for AI adoption.Cybersecurity insurance is evolving, but still behind. Cybersecurity insurers offer discounts to companies that use best-in-class risk management tools, as motor insurance providers did decades ago when first alarm systems emerged. Cybersecurity risk is complicated to quantify.AI governance is necessary for organizational safety.Training and change management are key to the success of AI projects. Regarding the 95 percent of failed AI pilots, the issue is a lack of change-management skills and processes, not the technologies.Cybercriminals are iterating faster than defenders. Their "businesses" operate much like traditional companies, with work schedules, reward systems, and related structures.AI can help focus attention on critical cybersecurity alerts.Decentralized AI requires centralized control for safety.Cybersecurity threats are becoming more sophisticated. Cybercriminals also exploit traditional bug bounty programs at large software companies to identify and exploit vulnerabilities.Companies and individuals will significantly benefit from AI. AI can revolutionize personalized healthcare and accelerate significant scientific discoveries. But all this will come at a cost, as cybercrime grows and is already the third-largest economy in the world after the US and China, if we were assessing it using the same metrics as a national economy.Chapters03:16 Introduction to AI and Cybersecurity06:01 The Impact of AI on Cybercrime08:35 Fighting AI with AI in Cybersecurity10:35 The Evolution of Cybersecurity Insurance12:54 Quantifying Cybersecurity Risks14:10 Data Literacy and Governance in AI16:43 The Role of Change Management in AI Adoption18:51 Centralized vs. Decentralized AI Governance21:21 The Future of AI and Cybersecurity22:02 Real-Life Cybercrime Stories24:24 The Business of Cybercrime27:24 Due Diligence in Cybersecurity28:48 The Shift Towards Hybrid Systems31:11 Global Cybersecurity Regulations33:04 Optimism vs. Caution in CybersecurityHyperlinksArtificial Intelligence Risk, Inc.AI Risk Reward / STAYblog (Substack)AI Risk Reward podcast (Apple Podcasts)AI Risk Reward podcast (Spotify)​LinkedIn Alec CrawfordX (Twitter) Alec CrawfordAnastassia Lauterbach - LinkedInFirst Public Reading, Romy, Roby and the Secrets of Sleep (1/3)First Public Reading, Romy, Roby and the Secrets of Sleep (2/3)First Public Reading, Romy, Roby and the Secrets of Sleep (3/3)AI Snacks with Romy and Roby@romyandroby“Leading Through Disruption”AI EdutainmentThe AI Imperative BookRomy & Roby Book

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