Guardrail Technologies has launched Traffic Light™ for Code & AI, a platform that verifies both AI-generated code and the developers behind the components it relies on. The solution scans code and provides a simple risk signal—Green to proceed, Amber to review, and Red for critical issues—enabling security teams to identify vulnerabilities in real time and respond quickly.
AI has made it possible to build software at the speed of a prompt, but it has also introduced a class of risk most enterprises cannot see or control. AI-generated code pulls from unknown sources, behaves in ways that have never been documented and moves into production without meaningful verification. At the same time, regulators are turning AI governance into an enforceable requirement, asking organizations to prove they were in control before something went wrong.
Most security tools were built to detect known vulnerabilities, not unknown behavior. Guardrail Technologies’ Traffic Light™ for Code & AI closes that gap.
“AI is writing code and pushing it into production at machine speed. Legacy security tools are not built for that reality,” said T.J. Marlin, CEO of Guardrail Technologies. “AI Traffic Light is the first cyber security technology to secure AI at the speed it moves, verifying what the code does, who it came from and whether it should be trusted before it ever deploys.”
AI Traffic Light delivers three capabilities that legacy tools do not:
- Known vulnerability detection identifies security flaws against NIST and OWASP frameworks, including full coverage of the OWASP LLM Top 10 and MITRE ATLAS.
- Behavioral risk analysis detects zero-day vulnerabilities and violations of core security principles by verifying what code actually does, not just what it looks like. It compares runtime behavior to known-safe baselines and identifies risks that pattern-based scanners miss.
- VendorGuard verification confirms the identity and trustworthiness of the people and entities behind the components AI pulls into a project. AI does not build in isolation. It assembles from dozens of sources. Guardrail verifies whether those sources can be trusted.
The technology addresses a growing accountability gap across industries. Financial institutions must meet federal risk guidance and disclosure requirements. Healthcare organizations face strict patient data protection. Schools, law firms and government contractors are operating under expanding AI oversight. In every case, organizations are expected to demonstrate control, not just intent.
AI Traffic Light is embedded directly into developer workflows, including Claude, OpenAI, Cursor, GitHub Copilot and Google tools, through a native integration that requires no change in how teams work. A web-based scanner is also available at aitrafficlight.com, with scan times under five minutes for a standard codebase.
“Every organization is being asked if they can prove they’re in control,” Marlin said. “Proof has to exist before something goes wrong, not after. AI Traffic Light makes that possible without slowing teams down. It runs inside the tools developers already use and delivers a clear, independent signal in minutes, so organizations can move at the speed of AI.”
AI Traffic Light is part of Guardrail Technologies’ suite of AI security technologies which provide centralized behavioral monitoring, compliance audit trails and ROI measurement for enterprise AI operations. Traffic Light scan results feed directly into Command Center, giving security teams a single view of code security findings alongside agent behavior, policy enforcement and documented proof of control.
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