GitHub Advanced Security combines Secret Protection and Code Security to stop leaks and fix vulnerabilities in native GitHub workflows. Learn more and see prici
GitHub Advanced Security functions as a aI GitHub Tools workflow layer for users who need AI support inside a repeatable task, process, or content system. Its value is strongest when the buyer understands the job it should improve, the quality standard it must meet, and the surrounding tools it needs to connect with. For business use, GitHub Advanced Security should be judged by workflow fit, output reliability, review effort, and whether it reduces manual work without creating new risk.
Jump to the pricing, features, pros and cons, comparisons, FAQs, and alternatives.
Overall Rating: 4.2/5 | Free Plan: Free, trial, open-source, or entry access may vary
Best For: teams, creators, operators, founders, and specialists evaluating aI GitHub Tools for recurring business or productivity workflows
Pricing: pricing depends on current plan, usage, seats, model access, and workflow volume | Ease of Use: 4.1/5 | Business Value: 4.2/5
Last Tested: June 2026 | Version: Latest
Visit GitHub Advanced Security
GitHub Advanced Security (GHAS) is a built-in application security suite that combines Secret Protection and Code Security to help developers find and fix vulnerabilities earlier in the software development life cycle. Unlike third-party AppSec tools, GHAS operates entirely within native GitHub workflows, reducing friction and enabling real-time remediation. It includes static analysis, software composition analysis, and secret scanning, with AI-driven insights and automated fixes via GitHub Copilot Autofix. GHAS is used by companies like FedEx, American Airlines, and KPMG, and is available at $19 per active committer/month for Secret Protection and $30 per active committer/month for Code Security. It empowers teams to integrate security directly into development, freeing security teams to focus on strategic threats.
Professional reality: GitHub Advanced Security can only create durable value when the workflow around it is clear. AI tools in this category still need human review, data boundaries, quality checks, and a defined owner for the final output.
GitHub Secret Protection helps teams and organizations stop secret leaks before they start, safeguarding code from every angle.
Prevent secret leaks and protect sensitive data
GitHub Code Security helps teams and organizations fix vulnerabilities before production, integrating application security directly into GitHub.
Find and fix vulnerabilities earlier in the development lifecycle
Leverage AI-driven insights and automated fixes from GitHub Copilot Autofix to strengthen your development process.
Accelerate secure code development with AI assistance
Find and fix vulnerabilities in real time by integrating application security right into GitHub, avoiding complex third-party workflows.
Boost developer satisfaction and reduce security risks
GHAS adds advanced tools for static analysis, software composition analysis, and secret scanning to the GitHub platform developers already use.
Detect vulnerabilities early without slowing down development
Built-in security, secret protection, and dependency monitoring help you stay ahead of threats and become a risk reduction warrior.
Proactively manage supply chain risks
GitHub Advanced Security offers two separate products with distinct pricing. GitHub Secret Protection is priced at $19 USD per active committer per month, designed for teams and organizations serious about stopping secret leaks. GitHub Code Security is priced at $30 USD per active committer per month, for teams and organizations committed to fixing vulnerabilities before production. Both products can be combined for comprehensive protection. For detailed pricing and to get started, you can request a demo, contact sales, or see the full plans and pricing page.
| Plan | Price | What You Get |
|---|
Visit the official GitHub Advanced Security website to check the latest pricing and plans.
Stop secrets from leaking before they start with GitHub Secret Protection, designed for teams and organizations serious about preventing credential exposure.
Fix vulnerabilities in your code before production with GitHub Code Security, helping teams and organizations committed to secure development.
Write secure code at scale with AI-driven insights and automated fixes from GitHub Copilot Autofix, integrated directly into GitHub.
Empower your team to find and fix vulnerabilities in real time by integrating application security right into GitHub, reducing risk and boosting developer satisfaction.
Define the exact aI GitHub Tools workflow GitHub Advanced Security should support.
Compare it with closely related AI tools in the same category before committing.
Set review rules for accuracy, privacy, brand voice, compliance, and final approval.
Connect useful outputs to the wider stack instead of leaving them inside the AI tool.
GitHub Advanced Security is worth it when aI GitHub Tools is a repeated workflow and the tool meaningfully reduces manual work, improves quality, or speeds up execution. It is less compelling when the use case is occasional, unclear, or too sensitive to trust without heavy review. The strongest ROI comes from pairing the tool with clear process ownership and relevant business systems.
| Decision Area | GitHub Advanced Security | When Another Option Wins |
|---|---|---|
| Pricing | GitHub Advanced Security offers two tiers: Secret Protection at $19 per active committer/month and Code Security at $30 per active committer/month. | If you need a single bundled price for both secret scanning and code scanning, other tools like Gitmore or Bitbucket may offer combined plans. |
| Secret scanning | Secret Protection is a dedicated product that stops leaks before they start, with pricing separate from code security. | If you need secret scanning as part of a broader CI/CD platform without extra cost, Bitbucket or Gitmore might be more integrated. |
| Code vulnerability fixing | Code Security focuses on fixing vulnerabilities before production, with AI-driven insights and automated fixes from GitHub Copilot Autofix. | If you prefer a standalone static analysis tool that doesn't require GitHub Copilot, tools like Coderabbit or ResearchGPT might be more suitable. |
| Integration with GitHub | Native integration with GitHub repositories, making it easy for developers to find and fix vulnerabilities earlier in the software development life cycle. | If your team uses a different version control platform, tools like Bitbucket or Gitmore may offer better compatibility. |
| AI capabilities | Leverages GitHub Copilot Autofix for AI-driven security fixes, integrated directly into the GitHub workflow. | If you need AI-powered code review beyond security, tools like Coderabbit or GitHub Copilot Workspace might offer broader AI features. |
Gitmore is another tool in the AI code review space, but GitHub Advanced Security focuses specifically on security with dedicated secret protection and code security tiers.
Choose GitHub Advanced Security if: You want a security-first solution that integrates natively with GitHub and offers separate pricing for secret scanning and code scanning. Choose Gitmore if: You need a more general AI code review tool that might cover broader development workflows beyond security.
Bitbucket is a Git repository hosting service that also offers security features, but GitHub Advanced Security provides dedicated secret protection and code security products with AI-driven fixes.
Choose GitHub Advanced Security if: You are already on GitHub and want the tightest integration with your repositories, plus AI-powered autofix from Copilot. Choose Bitbucket if: You prefer Bitbucket's interface or need a solution that works with Atlassian's ecosystem.
GitHub Advanced Security (GHAS) encompasses GitHub's application security products comprising GitHub Secret Protection and GitHub Code Security. GHAS adds cutting-edge tools for static analysis, software composition analysis, and secret scanning to the GitHub platform that developers already know and love. Unlike traditional application security packages that burden the software development toolchain with complex workflows that inhibit adoption, GHAS makes it easy for developers to find and fix vulnerabilities earlier in the software development life cycle.
GitHub Advanced Security combines two layers of powerful protection: GitHub Secret Protection (for teams and organizations serious about stopping secret leaks) and GitHub Code Security (for teams and organizations committed to fixing vulnerabilities before production). Together they safeguard your code from every angle.
GitHub Secret Protection is priced at $19 USD per active committer per month. It is designed for teams and organizations serious about stopping secret leaks. You can request a demo, contact sales, or get started directly in your repositories.
GitHub Code Security is priced at $30 USD per active committer per month. It is designed for teams and organizations committed to fixing vulnerabilities before production. You can request a demo, contact sales, or get started directly in your repositories.
GitHub Advanced Security helps developers write secure code at scale with AI-driven insights and automated fixes from GitHub Copilot Autofix. It also empowers teams with native AppSec, allowing them to find and fix vulnerabilities in real time by integrating application security right into GitHub.
Bottom Line: GitHub Advanced Security is a useful aI GitHub Tools option when the workflow is real, repeated, and worth improving. It delivers the most value when buyers compare it against related AI tools, connect it to the wider stack, and keep human review in the loop.
Last Tested: June 2026 | Reviewed by theaitoolsbox.com editorial team
GitHub Advanced Security supports aI GitHub Tools work by helping users move from manual effort toward a more structured AI-assisted process.
The tool should be evaluated on how useful, accurate, editable, and workflow-ready its output is for the intended use case.
GitHub Advanced Security works best when teams define what AI can handle, what needs approval, and where sensitive information should not be used.
The practical value improves when outputs can move into the business systems where work is planned, stored, reviewed, or sent to customers.
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