In today's episode of Tech Talks Daily, I reconnect with Abnormal AI's CIO, Mike Britton, to explore one of the most pressing topics in the tech world—AI regulation and cybersecurity.

Speaking from his base near Dallas, Mike brings a pragmatic perspective shaped by decades of experience at the intersection of enterprise technology and security. As the debate around artificial intelligence evolves, we examine the growing divide between the United States and Europe on regulatory approaches and what business leaders can learn from each side.

While Europe takes a more cohesive, application-based approach, the US remains fragmented, relying on state-by-state policies and sector-specific laws. Mike unpacks why this patchwork complicates global alignment and what an effective risk-based, standardized framework might look like. He argues that regulation must focus on how AI is applied, not just its scale, especially as the technology becomes embedded in everything from healthcare to email automation.

We also touch on the unintended consequences of overregulation, including the risk of pushing innovation into regions with fewer safeguards. As Abnormal Security works with some of the world's largest brands, Mike offers a frontline view into how threat actors are already leveraging AI to outpace traditional defenses. His insights reinforce the need for transparency, human oversight, and "kill switches" to ensure AI remains a tool for good, not a liability.

From real-world examples to strategic recommendations, Mike outlines what CIOs and CISOs need to know now. His advice is clear, grounded, and actionable, whether embracing regulatory sandboxes, staying alert to geopolitical nuances in AI models, or maintaining continuous learning in a fast-moving space.

So, how do we keep innovation ethical and secure in a world where AI is moving faster than ever? And what steps should technology leaders take to avoid falling behind or losing control of the tools meant to drive progress?

3274: Inside Abnormal AI's Approach to Threat Detection

Tech Talks Daily

3274: Inside Abnormal AI's Approach to Threat Detection