How Agentic AI Creates Shadow APIs: Security Risks Explained

How Agentic AI Creates Shadow APIs: Security Risks Explained

As businesses move from static applications to Agentic AI, the security landscape is shifting beneath our feet. In this clip from the A10 Networks webinar, "APIs are the Language of AI: Protecting Them is Critical," experts Jamison Utter and Carlo Alpuerto discuss a new frontier in cybersecurity: AI that builds its own APIs.

When AI takes the lead, it can generate new APIs to access information or deliver services on the fly. Doing so creates a massive security challenge—how do you protect an interface that didn't exist five minutes ago?

Key takeaways from this discussion:

🔹 The Shift to Dynamic APIs: Why traditional, static application-to-application security is no longer enough.
🔹 Agentic AI Vulnerabilities: The risks associated with AI generating its own APIs for specific tasks.
🔹 The "Three-Pillar" Security Problem:
a. Off-Schema Risks: New APIs may not follow established data structures.
b. Lack of Awareness: You can't secure what your security team doesn't know exists.
c. Protection & Vulnerability: Determining if machine-generated code is inherently secure or dangerously exposed.

Stay ahead of the curve as we explore how to manage and protect the rapidly evolving world of AI-driven connectivity.

Learn more about API security and AI: https://bit.ly/48iZk2d

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