What You Don’t Log Will Hurt You: Logging AI and API Activity for Real Security
Join us for a focused conversation on how logging is becoming the most critical tool for securing modern application ecosystems. APIs have become the most targeted attack surface in enterprise environments. At the same time, AI systems, especially LLM-based agents, are generating unpredictable, automated traffic that legacy monitoring tools can’t parse or interpret.
This session brings together two seasoned experts to show how audit logging, done right, is the foundation for detecting threats, investigating incidents, and restoring trust across your systems.
John Tobin of Virtual Guardian shares real-world stories of how structured API logging has helped companies detect breaches, contain risk, and dramatically reduce time-to-resolution.
Jeremy Snyder from Firetail explains how AI-generated traffic creates new challenges for observability, and how FireTail helps surface meaningful insights from both API and AI logs.
In this webinar, you’ll learn:
What to log at the API layer to detect misuse and monitor integrity
How to identify and tag AI-generated traffic that hits your APIs
Which patterns signal potential threats from authenticated clients
How to unify API and AI observability into a single detection workflow
Whether you're a security leader, platform owner, or API architect, this session will equip you with practical takeaways to improve visibility, strengthen your defenses, and act faster when incidents happen.