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GitHub Code Security

Application security where found means fixed

Secure your code as you build with GitHub Code Security. Detect vulnerabilities early and fix them with Copilot Autofix.

28 min From vulnerability detection to remediation

3X Faster remediation on average with Copilot Autofix

90% Of alert types include AI-powered code suggestions

Detect and remediate vulnerabilities
early with AI-powered fixes

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Automate security checks

Find security issues in real time with CodeQL’s powerful analysis that traces data flows throughout your application.

Remediate at scale

Get contextual explanations and AI-powered fixes for CodeQL-detected alerts with Copilot Autofix.

Reduce security debt

GitHub Code Security continuously scans your code as you build, helping detect vulnerabilities early, fix them fast with Copilot Autofix, and ship securely.

Catch risks early

Identify new dependencies and check for vulnerabilities or license issues with the Dependency Review Action.

Copilot Autofix streamlines security by flagging vulnerabilities and suggesting fixes instantly, keeping code secure while freeing teams for strategic work.”
Mario Landgrafcommunity manager of security at Otto GmbH & Co. KGaA

Build secure software from day one

Security should be built in, not bolted on. With Code Security, you can find, fix, and prevent vulnerabilities seamlessly—keeping your software resilient from development to deployment.

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Best practices for more secure software

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Discover developer-first security

Take an in-depth look at the current state of application security.

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Explore the DevSecOps guide

Learn how to write more secure code from the start with DevSecOps.

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Avoid AppSec pitfalls

Explore common application security pitfalls and how to avoid them.

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FAQs

What is Code Security?

GitHub Code Security empowers developers to secure their code without sacrificing speed. With built-in static analysis, AI-powered remediation, advanced dependency scanning, and proactive vulnerability management, teams can automatically detect, prioritize, and remediate security issues, all within their existing GitHub workflow—allowing them to deliver secure software faster and with greater confidence

What is Copilot Autofix?

Copilot Autofix uses AI-powered code suggestions to automatically fix security vulnerabilities identified by CodeQL. When a security vulnerability is detected, Copilot Autofix analyzes the code context, understands the underlying security issue, and generates a precise, contextually appropriate fix. This feature bridges the gap between vulnerability detection and remediation, enabling developers to review and apply AI-suggested fixes directly within their workflow.

What are Security Campaigns?

Security campaigns provide a structured framework for planning, tracking, and implementing security fixes across multiple repositories and teams allowing you to systematically burn down security debt. With With security campaigns, security teams can group related vulnerabilities, prioritize remediation efforts, assign ownership, and monitor progress through a unified dashboard. Security campaigns can be organized by vulnerability type, security initiative, compliance requirement, or any other logical grouping to coordinate security improvements at scale.

What is dependency analysis?

Dependency review scans pull requests for vulnerable dependencies before they're introduced into your codebase. It evaluates the security impact of dependency changes, identifying vulnerable packages and their severity levels to prevent security issues from being merged. The tool shows detailed dependency changes by comparing the base and head branches, highlighting added, removed, and updated dependencies along with their known vulnerabilities

What is EPSS?

Dependabot alerts now feature the Exploit Prediction Scoring System (EPSS) from the global Forum of Incident Response and Security Teams (FIRST), helping better assess vulnerability risks. EPSS helps organizations prioritize vulnerability remediation by predicting the likelihood of a vulnerability being exploited in the next 30 days. It provides a score ranging from 0 to 1 (0-100%), alongside a percentile ranking to indicate how the vulnerability compares to others.