The Secure Developer

Threat Modeling In The Age Of Artificial Intelligence With Laura Bell Main

The Secure Developer

Show Notes

Laura Bell Main, CEO at SafeStack, discusses the two-fold implications of AI for threat modeling in DevSecOps. She highlights challenges in integrating AI systems, the importance of data verifiability, and the potential efficiencies AI tools can introduce. With guidance, she suggests it's possible to manage the complexities and ensure the responsible utilization of AI.

More from The Secure Developer

Dec 16, 2025

The future of cyber resilience lies at the intersection of data protection, security, and AI. In this conversation, Cohesity CEO Sanjay Poonen joins Danny Allan to explore how organisations can unlock new value by unifying these domains. Sanjay outlines Cohesity’s evolution from data protection to security in the ransomware era, to today’s AI-focused capabilities, and explains why the company’s vast secondary data platform is becoming a foundation for next-generation analytics.

Dec 2, 2025

As AI systems become increasingly integrated into enterprise workflows, a new security frontier is emerging. In this episode of The Secure Developer, host Danny Allan speaks with Nicolas Dupont about the often-overlooked vulnerabilities hiding in vector databases and how they can be exploited to expose sensitive data.

Sep 23, 2025

Can multi-factor authentication really “solve” security, or are attackers already two steps ahead? In this episode of The Secure Developer, we sit down with Paul Querna, CTO and co-founder at ConductorOne, to unpack the evolving landscape between authentication and authorisation. In our conversation, Paul delves into the difference between authorisation and authentication, why authorisation issues have only been solved for organisations that invest properly, and why that progress has pushed attackers toward session theft and abusing standing privilege.

Sep 16, 2025

Bob Remeika, CEO and Co-Founder of Ragie, joins host Danny Allan to demystify Retrieval-Augmented Generation (RAG) and its role in building secure, powerful AI applications. They explore the nuances of RAG, differentiating it from fine-tuning, and discuss how it handles diverse data types while mitigating performance challenges. The conversation also covers the rise of AI agents, security best practices like data segmentation, and the exciting future of AI in amplifying developer productivity.

Sep 2, 2025

Machine learning has been around for decades, but as it evolves rapidly, the need for robust security grows even more urgent. Today on the Secure Developer, co-founder and CEO of Mindgard, Dr. Peter Garraghan, joins us to discuss his take on the future of AI. Tuning in, you’ll hear all about Peter’s background and career, his thoughts on deep neural networks, where we stand in the evolution of machine learning, and so much more! We delve into why he chooses to focus on security in deep neural networks before he shares how he performs security testing. We even discuss large language model attacks and why security is the responsibility of all parties within an AI organisation. Finally, our guest shares what excites him and scares him about the future of AI.

See all episodes →