AI-Native API Governance: Scaling Velocity Without Losing Control

AI is transforming API development at a pace existing governance wasn’t designed to handle. Whatever stage your testing maturity is at, those systems were built for human-paced development. When agents autonomously write, deploy, and consume APIs, a new category of risk emerges that conventional tooling wasn’t built to catch.

The result?

Breaking changes slip through.
Compliance drifts.
Coverage gaps appear where your test suites don’t look.

For executives, the challenge is clear: How do you scale delivery speed when your risk detection was built for a different era?

The answer is AI-native governance: testing and policy enforcement that operates at agent velocity. Swagger is building this through AI-native tooling, from purpose-built agents to plugins for the AI coding assistants your teams already use, keeping APIs tested, compliant, and governed from the moment they’re written.

Join us on May 20 as Kimberly Steinberg, VP Product Management and Scott Kingsley, VP of Engineering, untangle how to navigate this shift.

What you’ll take away:

• Why existing CI/CD pipelines still have blind spots in agent-driven development
• Where AI-accelerated changes are introducing risk your current tooling may miss
• How agent-based governance closes the gap at scale