AI is no longer experimental; it’s already embedded across your enterprise, from chatbots and developer tools to recommendation engines. But as adoption accelerates, so does the risk. Unlike traditional systems, AI behaves unpredictably, evolves post-deployment, and often acts as a “black box” that’s difficult to audit, secure, or even explain.
In this session, Mike Burch, Director of Application Security at Security Journey, will go beyond the hype to uncover what truly makes AI different—and why conventional security approaches fall short. You’ll learn from insiders who are on the front lines of AI risk management and leave with a clear understanding of the unique threat landscape, including data poisoning, model drift, hallucinations, and more.

What you’ll learn:

Why AI’s probabilistic nature and opaque decision-making create new vulnerabilities
Where AI is already operating within your organization, often unnoticed
How common myths around AI security obscure real risks
A breakdown of the AI-specific attack surface, from prompt injection to model backdoors
Real-world examples of threats like adversarial attacks, data leakage, and insecure fine-tuning
A practical approach to AI threat modeling: what could go wrong, and what you can do about it

If you own security, compliance, or technology, this webinar will equip you with strategic and practical insights to stay ahead of AI risk.

Speaker: Michael Burch, Security Journey
Mike is an Ex-Army Green Beret turned application security engineer. He served as the senior enlisted Cyber Network Defender for the North Carolina National Guard. In his civilian career, he is the Director of Application Security and content team lead for Security Journey, a SaaS-based application security training platform. He leverages his security knowledge and experience as a developer to educate and challenge other developers to be a part of the security team.

Host: Gary Miliefsky, Cyber Defense Magazine