AI is already writing your production code.
Most teams don’t know where the risk is.
Developers trust AI suggestions.
Tests pass. PRs get merged.
Hidden security and policy violations ship silently.
SyntaxValid surfaces, scores, and blocks risky AI-generated code before it reaches production.
What changed with AI-generated code?
AI produces large code changes faster than humans can fully review.
Developers merge AI-written logic they didn’t fully reason about.
CTOs can’t tell which PRs contain AI code until something breaks.
Why traditional security tools fall short
Formatting and basic correctness do not tell you whether generated logic is safe.
A suggestion can look legitimate while introducing brittle or unsafe behavior.
Passing tests does not prove compliance with security and engineering rules.
AI code can appear correct while shifting risk into production.
What AI risk actually looks like
It’s a decision system.
What SyntaxValid does (and doesn’t)
- Analyze AI-generated and human-written code
- Surface hidden security and policy risks
- Enforce rules with Policy-as-Code
- Block risky PRs automatically
- Guide remediation with AI Fix Roadmaps
- Replace your IDE or CI
- Rewrite your architecture
- Promise perfect security
- Hide risk behind vague scores
Who it’s for
Visibility into what AI is shipping to production
Enforceable policies, not best-effort warnings
Fast feedback without workflow disruption
You can’t secure what you can’t see.
Start validating AI-generated code with real visibility and control.
News
Latest updates from SyntaxValid.