AI generated code security

AI generated code doesn’t follow human logic, so standard SAST tools often miss subtle but critical security flaws.

Traditional scanners can’t operate at the speed of AI code generation, break developer flows, and can’t integrate seamlessly with modern coding assistants.

AI generated code often skips peer review and lacks secure coding practices. Many developers paste it into production without fully understanding it, creating subtle but serious vulnerabilities.

Catch flaws the moment code is suggested, using SAST and SCA engines tuned for AI generated code.

Loop findings back to the AI coding engine to regenerate secure alternatives automatically, before flawed code ever hits a commit.

Run rapid, AI code tuned scans at the point of generation, followed by deeper SAST/SCA checks in CI pipelines to reduce risk while boosting productivity.

“One of our most indicative KPIs is the amount of time for us to remediate vulnerabilities and also the amount of time developers spend fixing vulnerabilities in our code base, which has reduced significantly. We’re talking about at least 80% reduction in time.”

“When the product you sell is an application you develop, your teams need to be fast, secure and compliant. These three factors often work in opposite directions. Mend provides the opportunity to align these often competing factors, providing Vonage with an advantage in a very competitive marketplace.”

“The biggest value we get out of Mend is the fast feedback loop, which enables our developers to respond rapidly to any vulnerability or license issues. When a vulnerability or a license is disregarded or blocked, and there is a policy violation, they get the feedback directly.”