AI generated code security
Secure AI generated code without slowing developers down.

Challenges
Securing AI generated code is not just a tooling problem
It’s a new paradigm. Traditional tools weren’t built for code written by machines, and it’s a growing blind spot.
Unfamiliar coding patterns
AI generated code doesn’t follow human logic, so standard SAST tools often miss subtle but critical security flaws.
Slow legacy scanners
Traditional scanners can’t operate at the speed of AI code generation, break developer flows, and can’t integrate seamlessly with modern coding assistants.
Minimal human review
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.
Opportunities
Secure code from the start, without disruption
Stop security risk early by integrating AppSec directly into AI coding assistant development workflows.
Scan at the point of generation
Catch flaws the moment code is suggested, using SAST and SCA engines tuned for AI generated code.
Automate fixes powered by AI
Loop findings back to the AI coding engine to regenerate secure alternatives automatically, before flawed code ever hits a commit.
Apply two-phase scanning
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.
The solution
Mend.io’s AI Native Application Security Platform
A purpose-built platform to secure AI generated code—built for today’s speed, scale, automation, and development demands.
Discover the platform
