SECURE AI CODING

Security and package intelligence built into your AI coding agent, catching and fixing risks before they reach production

ONE DASHBOARD

Source and binary scan results in a single view, with full traceability from production artifact back to the commit that built it

AUDIT-READY

Stay audit-ready by default with unified SBOMs, build attestations, and policy-driven governance across every artifact

THE CHALLENGE

AI is accelerating code production faster than most organizations can secure it.

Coding agents like GitHub Copilot, Cursor, and Claude Code are driving this shift, yet automated controls to secure this code remain absent in most pipelines. The result: security gaps, compliance blind spots, and developer productivity lost to manual triage.

THE SOLUTION

JFrog and GitHub give every team full visibility and control from code to production.

By unifying code and binary workflows in a unified experience, they deliver automated security, agentic remediation, and continuous governance. The result: faster, more secure software delivery without the manual overhead.

“With GitHub and JFrog working seamlessly together, we’re reducing complexity and unlocking developer happiness – ultimately making them more productive as a result…”

– Khosro Rahbar
Director IT Application, Lifecycle Management,
Siemens

“This collaboration gives developers a single source of truth for code and binaries, and security teams gain full traceability and a unified view to monitor and remediate threats, reducing risk.”

– Gerard McMahon
Head of ALM Tools and Platforms,
Fidelity