Why Scaling API Security Testing is Critical in the Age of Agentic AI

The stakes for API security have never been higher, especially as AI agents become the primary consumers of enterprise APIs. Attack volumes are accelerating, deployment cycles are speeding up, and traditional AppSec and API management tools simply can’t keep pace with the scale and sophistication of today’s threats.

In this webinar, Anthony Lonergan will share highlights from the past two years of investigative research conducted in his role as editor of the industry’s leading APIsecurity.io newsletter. He explains some of the most significant trends observed in API security incidents, identifying where the most common API vulnerabilities are —from authentication and authorization failures to design and configuration weaknesses. He’ll share data-driven insights into how attacks are evolving, and where modern API ecosystems are most vulnerable and how good API security posture management is critical in the age of agentic AI.

Next, Axel Grosse will demonstrate how a proactive, continuous API security approach is the only realistic strategy in an AI-driven world. Using the latest capabilities in the 42Crunch API security platform, including API Drift Scan and the API Identity Scan, he shows how security and engineering teams can unify design-time security testing with runtime protection to stay ahead of emerging threats. He explains the integral relationship between API security and AI security and how MCP is emerging as the protocol to align API security with the safe adoption of agentic AI.

Key Takeaways?

• The attack paths hackers actually use to compromise APIs—and how those techniques are evolving
• How to implement a proactive, design-to-runtime security model that scales with your delivery cycles
• Practical strategies for defending against AI-driven API consumption and the rising volume of automated attacks