Show Notes
AI is accelerating cyberattacks. Could it also give defenders the upper hand? In this episode of The Deep View Conversations, we sat down with Adam Meyers, CrowdStrike's head of counter adversary operations, at Fal.Con 2026 to explore how AI is changing the balance of power between attackers and defenders.
Meyers explains why he believes security teams can now match the speed and scale of their adversaries, how CrowdStrike is training offensive and defensive AI models against each other, and why the harness that guides an AI model can matter just as much as the model itself. He shares how changing that harness helped CrowdStrike reduce false positives in its vulnerability research without changing the underlying model, and how cyberdefenders are uniting to assist one another. The conversation also goes inside the live disruption of the Sality botnet, explores how nation-state attackers are using agents that learn from their mistakes in seconds, and examines why powerful AI systems need clear boundaries as they pursue their goals. Topics covered: • Why AI could change the defender's dilemma • How CrowdStrike and its partners disrupted a botnet that had operated for more than two decades • Training red team and blue team models based on Nvidia's Nemotron models and CrowdStrike's security data • Why AI harnesses are critical to reducing hallucinations and false positives • How AI attacks are compressing the time organizations have to patch vulnerabilities • What the Hugging Face incident raises about goal-seeking agents and guardrails • Why local, open-weight models matter to both attackers and defenders If you're trying to understand what AI means for cybersecurity, how to put agents to work safely, or where specialized models can make a difference, this conversation offers a view from someone tracking the adversaries firsthand. Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: tdv.transitor.fm Get The Deep View daily newsletter for clear analysis of AI's biggest developments and practical insights you can put to good use: subscribe.thedeepview.com
More from The Deep View: Conversations
AI is making it easier for employees to work beyond their specialties and that has big implications for the future organizations of all sizes. In this episode of The Deep View Conversations, we sit down with Bill Barton, chief operating officer at Rokt and the former leader of the Alexa team at Amazon. Rokt has gotten called out by some of the biggest tech companies in the world for its innovative use of AI inside the company. In fact, several of them have had Rokt come and talk to their teams about how they do it. So we wanted to have Bill on the show to share those insights with a larger audience. Barton shares how Rokt is using an internal AI fleet across software development, finance, legal, security and other functions. He explains how AI is helping blur the boundaries between roles, why the company has moved from more than a dozen job ladders to four, and what it takes to turn experimentation into everyday practice. Other topics covered include: • Why Bill returned to Rokt after trying retirement • How AI is expanding the reach of generalists • Enabling shared AI experimentation companywide • Why fewer, more flexible systems can help teams move faster • How Barton thinks about productivity gains and hiring • What Google search reveals about frictionless AI • Why more powerful tools can make it harder to step away from work Bill also shares his six timeless attributes that can help anyone succeed in the AI era: relentlessness, resilience, rigorousness, inquisitiveness, optimism and humility. For leaders rethinking their teams and professionals navigating changing roles, this conversation connects the possibilities of AI with the habits and judgment needed to make them useful. Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: https://tdv.transistor.fm/ And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com
Companies want to own the intelligence that makes their business valuable. So what will that mean for the AI models they use, and the systems they build around them? In this episode of The Deep View Conversations, we sit down with Justin Boitano, VP of enterprise AI at Nvidia, to explore why NVIDIA is investing in open models and how enterprises are turning them into specialized intelligence.
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Can AI move fast and still be safe? As the debate over AI safety and innovation grows more polarized, we explore the practical work of making powerful systems accountable.