The Answer to the Ultimate Question of Securing AI Generated Code

Of course the answer is 42!

Join us for the first in a series of webinars exploring the challenges of using AI coding assistants and how to ensure the APIs that they generate are secured before they ever reach production.

AI coding assistants like Claude Code and GitHub Copilot are changing how software is built. Engineering teams can now generate APIs, integrations and application logic faster than traditional security and governance processes can review them.

For AppSec managers and Heads of Engineering, this creates a new problem: development velocity is increasing, but confidence in the security, consistency and compliance of AI-generated code is not keeping pace.

This opening webinar introduces the core challenge facing organizations adopting AI-assisted development: how to scale the security review without it becoming the bottleneck. We will explain how APIs are one of the most important control points in AI-generated software, and how 42Crunch enables teams to apply deterministic API security guardrails throughout the development lifecycle.

We'll show how the 42Crunch AI Coding agent plugins help organizations automatically audit API contracts, identify security weaknesses, validate governance requirements, and support a repeatable approach to securing AI-generated APIs before they ever reach production.

Key Takeaways

• Understand how AI-generated code creates a new security and governance challenge for enterprise teams.
• Learn why APIs are a critical control point for securing AI-assisted development
• Demo of the 42Crunch  guardrails helping security scale at the speed of AI coding