Peer-Reviewed Research|Published in Elsevier 2025

Real-time security for AI code generators

Redlyne scans AI-generated code for vulnerabilities and tells the AI how to fix them — before the developer ever sees the insecure version.

94%F1 Score
0.14sScan Time
35+CWEs Covered
0Hallucinations
Get Started FreeSee How It Works
Works with
GitHub CopilotClaude CodeChatGPTGemini

Built different from the ground up

Traditional security tools break on AI-generated code. Redlyne was purpose-built for the age of AI coding assistants.

Sub-100ms Scans

Lightweight pattern-matching engine scans AI-generated Python snippets in under 100ms. No AST required, no configuration needed.

94% F1 Score

Validated on 500 code samples from ChatGPT, Copilot, Gemini, and Claude. Outperforms Semgrep, CodeQL, Bandit, and LLM-based detectors.

Works on Fragments

Unlike traditional tools that need complete programs, Redlyne analyzes incomplete code snippets — the kind AI assistants actually produce.

AI Feedback Loop

Structured remediation output feeds directly back into AI coding agents. The AI self-corrects before the developer sees insecure code.

CI/CD Integration

GitHub Actions integration works in your pipeline today. Scan every commit automatically with zero configuration overhead.

Deterministic Engine

85 regex-based detection rules covering 35 CWEs from the OWASP Top 10. Every flag is real. Every fix suggestion is correct. Zero hallucinations.

See it in action

An AI assistant generates insecure code. Redlyne catches it in 0.14 seconds, feeds the fix back to the AI, and the developer gets secure code on the first try.

config_parser.py — AI Output
Vulnerable
import yaml

def parse_config(user_input):
    # AI-generated code using yaml.load()
    data = yaml.load(user_input)
    return data

How Redlyne compares

Independently validated on 500 AI-generated code samples. Published in Information and Software Technology (Elsevier, 2025).

ToolF1 ScoreCode FragmentsSpeedHallucinationsAI Feedback LoopCWEs
Redlyne94%
<100msNone
35+
Semgrep71%
SecondsN/A
Varies
CodeQL54%
MinutesN/A
Varies
Bandit72%
SecondsN/A
Limited
ChatGPT-471%
SecondsHigh
Unknown
Claude 3.574%
SecondsHigh
Unknown

Founded by security researchers

8+ years of collaboration. 25+ co-authored research papers. Deep expertise in software security and vulnerability detection.

PL

Pietro Liguori

CEO & Technical Founder

Assistant Professor of Software Security
University of Naples Federico II, Italy

Built the core detection and repair engines, backend architecture, CLI tooling, VS Code extension, and CI/CD integrations.

DC

Domenico Cotroneo

CTO

Full Professor of Dependable and Secure Systems
University of North Carolina at Charlotte, USA

Leads system architecture and security design. Defined the threat model for AI-generated code vulnerabilities.

Peer-Reviewed Research

"DeVAIC: A tool for security assessment of AI-generated code"

Published in Information and Software Technology (Elsevier, 2025)

Simple, transparent pricing

Free for individual developers. Scales with your team.

Developer

Free

For individual developers using AI coding assistants.

  • VS Code extension
  • Real-time inline feedback
  • 35+ CWE detection rules
  • Unlimited local scans
Get Started Free
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Team

$500/mo

For engineering teams with CI/CD and policy needs.

  • Everything in Developer
  • GitHub Actions integration
  • Team policy management
  • Centralized reporting
  • Priority support
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Enterprise

Custom

On-prem deployment, advanced controls, and API access.

  • Everything in Team
  • On-premise deployment
  • Custom rule engine
  • Structured API access
  • Dedicated support & SLA
  • SSO / SAML
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Stop shipping insecure AI-generated code

Redlyne is production-ready today. Start scanning AI-generated code for free with our CLI and VS Code extension.

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