Guardrail Technologies Launches Traffic Light for Code & AI™; First Security Technology to Verify & Secure AI Code and the People Creating It

Guardrail Technologies, the leading provider of AI security and governance software for enterprises building with AI, today announced the launch of Traffic Light for Code & AI™, which verifies both the code AI generates and the people behind the components it depends on. The technology scans code and returns a simple signal: Green to proceed, Amber to review, Red for critical risk, so security teams can see vulnerabilities in real-time and act on them instantly.

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. Traffic Light for Code & AI™ is the first 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.”

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AI Traffic Light™ delivers five capabilities that legacy tools do not:

• SAFE (Secure Agentic Framework Environment™) is Guardrail’s proprietary framework for agentic AI risk, working alongside translated cyber, AI risk and regulatory frameworks (including OWASP, Cloud Security Alliance, MITRE, STRIDE, and more) to assess what AI creates and how it behaves.
• Behavioral risk analysis detects zero-day threats by verifying what code actually does, not what it looks like. Pattern-based scanners miss what behavior reveals.
• VendorGuard™ verification confirms the identity and trustworthiness of every human and entity behind the components AI pulls into a project.
• Full-lifecycle AI security validation answers the three questions every board is asking: Is this code safe, is it going somewhere safe, and will it stay safe?
• Traffic Light verdicts turn complex security findings into red, amber, or green decisions any executive can act on in seconds with no security degree required.

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 protections. 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™ runs natively inside the tools developers already use, including Claude, OpenAI, Cursor, GitHub Copilot and Google tools, with no workflow changes required and a web-based scanner with scan times measured in seconds.

“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, running inside the tools developers already use.”

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. AI Traffic Light™ scan results feed directly into AI 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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