vibe coding

Speed and security for every line of
AI-generated code

Real-time security reviews for AI-generated code, built for teams that move fast

Check my AI-generated code

AI-generated code moves fast, but so do the risks

What you gain with AI-generated code

What you risk without AI-powered security

How SecurityReview.ai solves this

Development velocity in minutes, not days

Logic bugs that slip into production unnoticed

Real-time and recursive AI reviews catch logic flaws instantly before code is merged

Junior developers can ship like seniors

Broken authentication and access control gaps

Detects broken auth and privilege issues in AI-generated code with context-aware scanning

Rapid prototyping and iteration

Unvetted code merged without review

Enforces review on every code change, even at AI speed

No boilerplate, just build and go

Missing input validation and weak sanitization

Flags missing validation and sanitization as soon as code is generated

Perfect for agile + CI/CD pipelines

Hardcoded secrets and compliance violations

Identifies secrets, enforces secure defaults, and auto-maps compliance (PCI DSS, NIST, etc.)

+500 intelligent reviews Continuous output at scaleper year

Threat modeling skipped entirely

Every AI change updates the live threat model, ensuring dynamic and up-to-date coverage

AI-powered security for AI-powered development

Get the speed you want with the assurance that risky patterns never make it past review. AI reviewing AI means flaws are caught in seconds instead of days, so security can keep up with delivery in real time.

Recursive questioning on AI-generated code

Goes beyond surface scanning. The AI interrogates its own findings to confirm exploitability, business impact, and the real threat path before flagging.

Context-aware threat mapping

Links every finding to your live architecture, assets, and trust boundaries, so you know exactly how an AI-generated function could be exploited in your system.

Real-time and multi-source input analysis

Reviews not just the code, but also design docs, architecture diagrams, and dev discussions. By processing multiple sources at AI speed, SecurityReview.ai prevents risks from spreading unnoticed.

Built-in compliance mapping

As issues are identified, they’re automatically mapped to frameworks like DORA, PCI DSS, and NIST 800-53, creating defensible evidence for audits.

Secure defaults enforcement

Detects unsafe AI-generated defaults, such as overly permissive configurations, missing headers, and weak tokens, then flags them before merge so security isn’t left to chance.

Continuous threat model updating

Every AI-generated change updates your live threat model, ensuring risk analysis is never outdated, even when AI is generating code faster than humans can review it.

Validate my AI-generated code

From weeks to minutes without losing coverage

70% faster security reviews without cutting coverage

40% reduction in high-severity incidents

Full design-stage coverage with no added headcount

Stopped 3 major potential breaches before exploitation

SecurityReview.ai delivers these results because it uses AI to match the pace, scale, and complexity of AI-generated development.

The tool is simple to use and has been implemented in a very well-thought way. Clearly by folks with a great deal of expertise

Head of Product Security $10b SaaS Company

SecurityReview looks fantastic! I love how it allows us to mimic Human Security Design review practices, but is made so much faster and more comprehensive because of AI

Head of Application Security, Top 50 Bank APAC region

It is going to save my US Federal Government customers a ton of time with SSDF mandates

Leading VAR/MSSP for US Federal Government companies

Does your AI-generated code pass the security review?

Check my code for risks

FAQ

How is SecurityReview.ai different from a regular static analysis tool?

Traditional SAST tools scan code after it’s written. SecurityReview.ai reviews AI-generated code in real time (at the point of generation) and applies recursive AI reasoning to confirm whether each finding is exploitable in your environment. This cuts false positives and lets you fix issues before they enter version control.

Does this work only on AI-generated code?

No. While it’s built to keep pace with AI-written code, SecurityReview.ai can review any code in your repo. Its AI-native engine means it scales effortlessly, whether code is written by humans, AI, or both.

Will this slow down my development pipeline?

No. Because SecurityReview.ai is AI-powered, reviews happen in seconds, directly inside the developer workflow. There’s no need for separate security sprints or post-release audits.

Can it map findings to our architecture and threat model?

Yes. Every finding is context-aware, linked to your actual assets, data flows, and trust boundaries. This ensures results aren’t just generic best practices but actionable and relevant fixes.

How does it help with compliance?

SecurityReview.ai automatically maps findings to frameworks like DORA, PCI DSS, and NIST 800-53, generating defensible evidence you can present in an audit without extra work from your team.

How do you handle false positives?

Our recursive questioning approach interrogates each flagged issue multiple times, validating exploitability and business impact before surfacing it. This dramatically reduces noise for developers and security teams.

Can it be integrated into our existing tools?

Yes. SecurityReview.ai works with your current CI/CD pipelines, IDEs, and code hosting platforms so security becomes part of the flow.

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