AI-accelerated development is everywhere, with virtually all businesses looking for ways to implement and integrate it into daily workflows. Its ability to increase productivity and allow developers to work faster has led to many excited early adopters.

Despite its benefits, AI can introduce serious security challenges. One of the biggest issues is the common belief that AI-generated code is “secure enough” to be deployed when, in reality, AI-generated code is inherently insecure.

This guide from Snyk explains the challenges AppSec teams face with AI adoption and why they need a modern security solution and approach that supports development at scale. Download it now!

Highlights include:

Understand the security risks introduced by AI tools in the software development lifecycle

Learn how to mitigate risks via proactive governance, policy, and tooling

Know the answer to the question: “Do we have guardrails in place for AI-generated code?”

Download The Gorilla Guide® To… Security and Governance for AI Whitepaper