Is Your AI Well-Engineered Enough to Be Trusted?

About this episode

Can you trust your AI systems with your business, or are they just another attack surface waiting to be exploited?

Aaron Isaksen leads AI Research and Engineering at Palo Alto Networks, where he advances state-of-the-art AI in cybersecurity while overseeing Cortex Xpanse's teams automating attack surface management across some of the world's largest networks. In this episode of Threat Vector, host David Moulton sits down with Dr. Aaron Isaksen to explore why engineering excellence must precede ethical AI debates, how adversarial AI is reshaping cybersecurity, and what it actually takes to build AI systems resilient enough to operate in hostile environments.

You'll learn:

• Why well-engineered AI must be the prerequisite before discussing AI ethics
• How prompt injection attacks are becoming the "SQL injection of the AI era," and why they may never be fully solved
• What defending the Black Hat USA NOC with AI-powered security taught about real-world AI resilience
• How machine learning transforms attack surface management from manual inventory chaos to automated risk reduction
• Why game development experience creates better cybersecurity AI researchers (and what curiosity has to do with it)

Before Palo Alto Networks, Aaron spent 15+ years building products across wildly different domains. From co-founding mobile gaming companies and funding independent game developers through Indie Fund, to leading ML engineering at ASAPP where his teams prototyped state-of-the-art neural networks for NLP. With a PhD from NYU (automated software design), a Master's from MIT (light field rendering), and a BS from UC Berkeley, Aaron brings a unique perspective: AI security isn't about philosophical debates. It's about rigorous engineering, continuous red teaming, and building systems that can withstand determined adversaries.

This episode is essential listening if you're: deploying AI in production systems, building security programs around generative AI tools, leading attack surface management initiatives, trying to separate AI security theater from actual resilience, or wondering whether your AI agents can operate safely on the open web. #AI

Related Episodes:

• Identity: The Kill Switch for AI Agents
• Securing AI in the Enterprise
• Inside AI Runtime Defense

About Threat Vector

Threat Vector by Palo Alto Networks is your premier podcast for security thought leadership. Join us as we explore pressing cybersecurity threats, robust protection strategies, and the latest industry trends.

The podcast features in-depth discussions with industry leaders, Palo Alto Networks experts, and customers, providing crucial insights for security decision-makers.

Whether you're looking to stay ahead of the curve with innovative solutions or understand the evolving cybersecurity landscape, Threat Vector equips you with the knowledge needed to safeguard your organization.

Palo Alto Networks

Palo Alto Networks enables your team to prevent successful cyberattacks with an automated approach that delivers consistent security across the cloud, network, and mobile.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠http://paloaltonetworks.com.