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Learn how to make your APIs consumable by machines and AI agents, while preserving security, reliability, and governance across your enterprise.
See how standards like OpenAPI, GraphQL introspection, and gRPC schemas give AI agents a precise map of your endpoints, reducing guesswork, integration errors, and support overhead.
Learn how to design APIs that hold up under automated, high-volume AI traffic with predictable performance, resilient error handling, and consistent versioning.
Understand how to embed controls that automatically mask sensitive fields, enforce least-privilege access, and generate compliance evidence in real time.
Gain full visibility into every API call made by AI agents and LLMs, so you know who called what, when, and why, and can intervene before risks turn into incidents.
This eBook is ideal for CTOs, CIOs, Heads of Platform, API Architects, and Security/Compliance Leaders preparing their organizations to deploy AI responsibly.
How to Standardize API contracts so machines (and humans) consume them correctly.
How to design for reliability at AI scale.
How to gain visibility into AI usage, with real-time insight into which agents, models, or services are calling your APIs.
Build confidence at the executive level, with governance and audit trails that prove control over AI activity.
