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 AppSec

A purpose-built platform to secure AI generated code—built for today’s speed, scale, automation, and development demands.

AI tuned security from the first line

SAST/SCA scans run in real time, tuned for common AI generated code weaknesses.

Tight integration with coding assistants

Identify weaknesses early and send remediation instructions back for instant code regeneration.

Fix vulnerabilities without slowing down

Remediation guidance is fed directly to the AI assistant to generate secure code automatically.

Unified visibility and reporting

Gain full visibility across dependencies and code, with policy enforcement and governance built in.

FAQs

How does Mend.io secure AI-generated code?

AI coding assistants can use Mend Agentic Integration tools to immediately scan generated code for CWEs and dependencies for known CVEs. The assistant can use Mend.io findings to fix and rescan the code before it is committed, while repository, pull-request, and CI/CD scans provide broader SAST and SCA coverage later in the development workflow.

How does Mend.io scan code at the point of generation?

MCP servers integrated with AI coding assistants let Mend.io trigger SAST and SCA scans as the assistant produces code, catching vulnerabilities and risky dependencies in real time rather than weeks later in review.

What is Mend.io’s two-phase scanning approach?

Phase one: rapid AI-code-tuned scans at generation. Phase two: deeper SAST/SCA checks in CI/CD pipelines. This provides speed where developers work and depth where builds ship.

Does Mend.io’s scanning slow developers down?

No. Scans run in real time at the point of generation, and fixes are regenerated automatically, so developers keep their pace while security keeps coverage.