GitHub Advanced Security Sign Up: The Complete Guide to Protecting Your Code in 2026

Security threats don’t wait. Neither should your development team. GitHub Advanced Security (GHAS) gives developers and security teams the tools they need to catch vulnerabilities before they become problems. But getting started can feel overwhelming.

This guide walks you through everything about the GitHub Advanced Security sign up process. We’ll cover what you get, how to set it up, and why it matters for your organization. Whether you’re a small team on GitHub Team or a large enterprise on GitHub Enterprise Cloud, you’ll find the information you need here.

We’ll look at real features, actual pricing considerations, and practical steps to get your account protected. No fluff. Just the details you need to make an informed decision about securing your codebase.

What Is GitHub Advanced Security and Why Does It Matter?

GitHub Advanced Security is a collection of security tools built directly into the GitHub platform. It’s not a separate product you bolt on. It lives inside your existing workflow.

The core idea is simple. Find security problems early. Fix them fast. Ship secure code without slowing down.

The Two Main Components

GHAS breaks down into two main products:

• GitHub Secret Protection – Detects and prevents secret leaks like API keys and passwords
• GitHub Code Security – Finds vulnerabilities in your actual code and dependencies

These work together to cover your code from multiple angles. Secret scanning catches credentials that shouldn’t be there. Code scanning finds bugs that hackers could exploit.

Who Can Use GitHub Advanced Security?

Here’s the breakdown of availability:

Public repos get these features for free. That’s a big deal for open source projects. Private repos need a paid plan.

Why Traditional Security Tools Fall Short

Most security scanning tools sit outside your development workflow. They run after you’ve already written the code. Sometimes days or weeks later.

This creates problems:

• Developers have moved on to other tasks
• Context about the code is lost
• Fixing takes longer because you’re revisiting old work
• Security feels like a burden, not a help

GitHub Advanced Security flips this model. It catches issues while you’re still working on the code. The fix happens in real time, not as a painful afterthought.

According to GitHub’s data, developers using GHAS fix 48% of vulnerabilities in real time. That’s more than 7 times faster than the industry average of 198 days to reach a 50% fix rate.

The Business Case for GHAS Registration

Security breaches are expensive. The average data breach cost millions in 2026. But the cost isn’t just financial.

Consider what a breach means:

• Customer trust disappears
• Regulatory fines pile up
• Engineering time shifts from building to firefighting
• Reputation damage lingers for years

Prevention costs less than remediation. Every time.

Understanding GitHub Secret Protection Features

Secrets in code are one of the most common security failures. API keys, database passwords, OAuth tokens. They end up in repositories all the time.

GitHub Secret Protection exists to stop this from happening. And to catch it when it does.

What Counts as a Secret?

The scanner looks for patterns that match known credential formats. This includes:

• AWS access keys and secret keys
• Azure storage account keys
• Google Cloud API keys
• Stripe API keys
• Slack tokens
• Database connection strings
• SSH private keys
• Custom patterns you define

GitHub partners with over 100 service providers to detect their specific token formats. When a secret is found, the partner gets notified automatically. Many will revoke the token immediately.

Secret Scanning: Finding What’s Already There

When you enable secret scanning, GitHub checks your entire repository history. Not just the current code. Every commit ever made.

This matters because deleted secrets aren’t really deleted. They live in git history forever. Unless you rewrite history completely.

The scanner runs continuously. Every push triggers a new scan. Every pull request gets checked before merge.

Push Protection: Stopping Secrets Before They Land

Finding secrets after they’re committed helps. Preventing commits in the first place is better.

Push protection blocks commits that contain detected secrets. The developer sees a clear message explaining:

• What secret was found
• Where in the code it appeared
• Options for handling the situation

Sometimes a detected “secret” isn’t actually sensitive. Maybe it’s a test credential or example code. Developers can bypass push protection with a reason. This creates an audit trail while allowing legitimate work to continue.

Custom Secret Patterns

Your organization might have internal credential formats. Custom API keys. Internal system tokens. Things GitHub’s default patterns won’t catch.

GHAS lets you define custom patterns using regular expressions. You specify:

• The pattern to match
• A name for the secret type
• Whether to enable push protection for it

This extends protection to your specific security needs.

Alert Management for Secrets

When secrets are found, you need a way to track them. GHAS provides a central dashboard showing all detected secrets across your organization.

Each alert includes:

• The type of secret detected
• The file and line number
• The commit that introduced it
• Who made the commit
• Whether the secret is still present or has been removed

You can mark alerts as resolved, false positive, or used in tests. This keeps your dashboard clean and actionable.

GitHub Code Security: Finding Vulnerabilities in Your Code

Writing secure code is hard. Even experienced developers introduce vulnerabilities without realizing it. Code Security catches these before they reach production.

Code Scanning with CodeQL

CodeQL is GitHub’s analysis engine. It treats code as data. Queries run against this data to find security problems.

The process works like this:

1. Your code gets compiled into a CodeQL database
2. Security queries run against this database
3. Results appear as alerts in your repository

CodeQL supports many languages:

• JavaScript and TypeScript
• Python
• Java and Kotlin
• C and C++
• C#
• Go
• Ruby
• Swift

Each language has hundreds of built-in queries covering common vulnerabilities. SQL injection. Cross-site scripting. Path traversal. Buffer overflows. The list goes on.

How Code Scanning Integrates with Your Workflow

Code scanning runs as part of GitHub Actions. You add a workflow file to your repository. Scans happen automatically on every push and pull request.

A typical workflow configuration looks simple:

• Trigger on push to main branch
• Trigger on pull requests
• Build the CodeQL database
• Run the analysis
• Upload results to GitHub

Results appear directly in pull requests. Developers see the security issues before merging. No separate tool to check. No context switching.

AI-Powered Code Scanning

GitHub has added AI capabilities to code scanning. This goes beyond pattern matching. The AI understands code context and can identify complex vulnerabilities that rule-based systems miss.

Better yet, it suggests fixes. Not just “here’s a problem.” But “here’s how to fix it.” Developers can accept the suggestion with one click in many cases.

This speeds up remediation dramatically. You’re not researching how to fix an XSS vulnerability. The fix is right there.

Dependency Scanning and Software Composition Analysis

Modern applications use lots of dependencies. Your code might be secure. But what about the npm packages you imported? The Python libraries your project depends on?

GitHub Code Security includes Dependabot. It tracks known vulnerabilities in your dependencies. When a CVE is published affecting a package you use, you get an alert.

But it doesn’t stop at alerts. Dependabot can:

• Open pull requests to update vulnerable dependencies
• Show compatibility information about updates
• Group related updates together
• Run your tests against the proposed update

You review the PR, verify tests pass, and merge. Your vulnerable dependency is now patched. The whole process takes minutes instead of hours of manual research.

Security Overview Dashboard

Individual repository alerts are useful. But organizations need a bigger picture. The Security Overview provides this.

From one dashboard you can see:

• Total open alerts across all repositories
• Alert trends over time
• Which repositories have the most issues
• Mean time to remediation
• Coverage gaps where scanning isn’t enabled

Security teams use this to prioritize efforts. If one repository has 500 alerts while others have 10, you know where to focus.

The GitHub Advanced Security Sign Up Process Step by Step

Ready to get started? Here’s exactly how to sign up for GitHub Advanced Security.

Step 1: Check Your Current GitHub Plan

GHAS requires either GitHub Team or GitHub Enterprise Cloud. Free and Pro plans can’t add Advanced Security for private repositories.

To check your plan:

1. Go to your organization settings
2. Click on “Billing & plans”
3. Look at your current plan level

If you’re on Free or Pro, you’ll need to upgrade first. The upgrade process is separate from adding GHAS.

Step 2: Contact GitHub Sales or Self-Serve

For GitHub Team plans, you can often enable GHAS through self-serve options in your billing settings. Look for “Security” or “Advanced Security” options.

For Enterprise customers, the process typically involves:

• Contacting GitHub’s sales team
• Discussing your organization’s needs
• Getting a quote based on active committers
• Signing the agreement

Enterprise deals often include volume discounts. If you have many repositories or committers, negotiating makes sense.

Step 3: Choose Your Products

You don’t have to buy everything at once. GitHub sells Secret Protection and Code Security separately. You can start with one and add the other later.

Consider your priorities:

• Worried about credential leaks? Start with Secret Protection
• Concerned about code vulnerabilities? Start with Code Security
• Want complete coverage? Get both

Many organizations start with Secret Protection because it’s faster to enable and shows immediate value. Then they add Code Security after initial rollout succeeds.

Step 4: Enable at Organization Level

Once you’ve purchased GHAS, you need to enable it. This happens at the organization level first.

Go to your organization settings. Navigate to “Code security and analysis.” You’ll see options for:

• Dependency graph
• Dependabot alerts
• Dependabot security updates
• Secret scanning
• Push protection
• Code scanning

Enable each feature you want. You can enable them for all repositories or select specific ones.

Step 5: Configure Repository-Level Settings

Some features need per-repository configuration. Code scanning especially requires setting up GitHub Actions workflows.

GitHub provides default workflow templates. When you enable code scanning, GitHub suggests the right configuration based on your repository’s languages.

For most repositories:

1. Go to the repository’s Security tab
2. Click “Set up code scanning”
3. Choose the CodeQL analysis workflow
4. Commit the workflow file to your repository

The first scan runs immediately. Future scans happen on every push and pull request.

Step 6: Review Initial Findings

Your first scan will likely find issues. Maybe a lot of issues. Don’t panic.

Start by categorizing:

• Critical vulnerabilities – Fix these immediately
• High severity – Fix these soon
• Medium and low – Add to your backlog
• False positives – Dismiss with explanation

Don’t try to fix everything at once. Prioritize based on risk and fix incrementally.

Step 7: Train Your Team

Tools only work if people use them correctly. Invest time in training developers on:

• How to read security alerts
• How to fix common vulnerability types
• When and how to bypass push protection
• How to write security queries (for advanced users)

GitHub provides documentation and learning paths. Your security team should create organization-specific guidance too.

GitHub Advanced Security Pricing and Licensing Model

Understanding GHAS pricing helps you budget correctly and avoid surprises.

The Active Committer Model

GitHub charges based on “active committers.” This means unique users who commit to repositories with GHAS enabled.

The count works like this:

• Look at the past 90 days
• Count unique users who made commits
• That’s your active committer count

A developer who commits to 10 repositories counts as one active committer. Not 10.

Why This Pricing Model Makes Sense

Per-committer pricing aligns cost with value. You pay for the developers actually writing code. Not for repository count or storage.

This also means:

• Adding more repositories doesn’t increase cost (much)
• Removing inactive developers reduces your bill
• Bot commits don’t typically count

Getting an Accurate Quote

Before signing up, audit your active committers. You can do this by:

1. Looking at contributor graphs for your repositories
2. Using GitHub’s API to pull commit data
3. Asking GitHub sales for a pre-purchase analysis

Knowing your number prevents sticker shock. It also helps you decide which repositories to enable GHAS for initially.

Strategies to Control Costs

If budget is tight, consider these approaches:

• Phased rollout – Enable GHAS on high-risk repositories first
• Remove inactive users – Clean up your organization membership
• Use free features for public repos – GHAS is free for open source
• Consolidate repositories – Fewer repos can mean fewer unique committers

Free Trial Options

GitHub sometimes offers trial periods for Enterprise features. Ask your GitHub representative about trial availability.

During a trial you can:

• Test features on real repositories
• Measure alert volumes
• Evaluate developer experience
• Build a business case with actual data

A trial reduces risk and helps justify the investment to leadership.

Comparing GitHub Advanced Security to Other AppSec Solutions

GHAS isn’t the only security scanning option. How does it compare to alternatives?

GHAS vs Standalone SAST Tools

Traditional Static Application Security Testing (SAST) tools like Checkmarx, Fortify, and Veracode have been around for years.

The biggest advantage of GHAS is integration. Developers don’t need to leave GitHub. Security becomes part of the normal workflow, not an extra step.

GHAS vs Snyk

Snyk is a popular developer-focused security tool. It competes directly with GHAS in several areas.

Where Snyk shines:

• Works across multiple version control systems
• Strong container security features
• IDE plugins for earlier feedback
• Infrastructure as code scanning

Where GHAS shines:

• Tighter GitHub integration
• Included code scanning (Snyk focuses more on dependencies)
• No additional tool to manage
• Native UI experience

Some organizations use both. GHAS for code scanning, Snyk for container security. The tools can complement each other.

GHAS vs SonarQube

SonarQube handles code quality and security. It’s often self-hosted.

Key differences:

• SonarQube covers code quality beyond security
• GHAS is fully managed, no infrastructure to maintain
• SonarQube has a free Community edition
• GHAS integrates with GitHub without plugins

Teams already using SonarQube for quality checks might keep it while adding GHAS for security-specific scanning.

The Integration Advantage

Here’s what GitHub says about their approach:

“GitHub Advanced Security integrates AI-powered security features directly into your development workflow, eliminating the need for third-party tools.”

This isn’t marketing fluff. Native integration genuinely makes a difference. Developers are more likely to use security tools when they’re built into the platform they already work in.

Third-party tools require context switching. You write code in GitHub, then check another dashboard for security issues. That friction reduces adoption.

Rolling Out GitHub Advanced Security in Your Organization

A successful GHAS rollout takes planning. Here’s how to approach it.

Phase 1: Pilot with a Small Team

Don’t enable GHAS everywhere at once. Start small.

Pick 2-3 repositories with:

• Active development
• A mix of code types
• Developers willing to give feedback
• Reasonable size (not your massive monorepo yet)

Run the pilot for 2-4 weeks. Gather feedback. Identify problems before they affect your whole organization.

Phase 2: Refine Your Configuration

Based on pilot feedback, adjust your setup:

• Tune alert severity thresholds
• Create custom secret patterns
• Define which checks should block merges
• Write internal documentation

Getting configuration right early prevents alert fatigue later.

Phase 3: Expand to More Teams

Roll out in waves. Maybe by department or by repository risk level.

Each wave should include:

• Training sessions for affected developers
• Clear communication about what’s changing
• Support channels for questions
• Time to address initial alert backlogs

Phase 4: Enable Enforcement

Eventually you’ll want to block merges for certain security issues. Don’t do this immediately.

Start with:

• Alerts only (no blocking)
• Time for developers to learn the system
• Backlog reduction

Then move to:

• Blocking for critical issues
• Required review for security alerts
• Branch protection rules including security checks

Gradual enforcement prevents developer frustration and backlash.

Phase 5: Measure and Improve

Track metrics over time:

• Mean time to remediation
• Alert volumes (should decrease)
• False positive rates
• Developer satisfaction scores

Use data to show value and identify areas for improvement.

Common Rollout Mistakes to Avoid

Mistake 1: Enabling everything at once

This overwhelms developers with alerts. Gradual rollout works better.

Mistake 2: Blocking merges immediately

Developers who can’t ship code get frustrated. Build trust before enforcement.

Mistake 3: Ignoring alert backlogs

Starting with hundreds of open alerts makes new ones hard to notice. Clean up legacy issues.

Mistake 4: No training

Developers need to understand what the alerts mean and how to fix them. Invest in education.

Mistake 5: Security team owns everything

GHAS works best when developers own fixing their own code. Security provides guidance, not fixes.

Getting the Most Value from Your GHAS Account

Signing up is just the beginning. Here’s how to maximize your investment.

Write Custom CodeQL Queries

Default queries catch common vulnerabilities. But your application might have unique patterns that need checking.

CodeQL is a query language. You can write custom queries for:

• Internal security standards
• Deprecated function usage
• Organization-specific anti-patterns
• Custom framework vulnerabilities

Learning CodeQL takes time. But custom queries dramatically increase GHAS value for mature security teams.

Set Up Code Scanning Alerts as Required Checks

Pull request checks can be required before merging. This enforces security review.

Configure branch protection to require:

• Code scanning to pass
• No critical or high severity alerts
• Secret scanning approval

Required checks create a security gate that can’t be bypassed without admin override.

Use Security Overview for Risk Prioritization

Don’t treat all repositories equally. Some contain more sensitive code. Some face more external exposure.

Use Security Overview to:

• Identify repositories with the most vulnerabilities
• Track improvement over time
• Report to leadership on security posture
• Find coverage gaps

Focus effort where it matters most.

Integrate with Your Existing Security Tools

GHAS doesn’t replace all security tools. It complements them.

Common integrations include:

• SIEM systems for centralized alerting
• Ticketing systems for vulnerability tracking
• CI/CD pipelines for additional checks
• Security dashboards for unified reporting

GitHub’s API allows you to export GHAS data to other systems.

Participate in the Security Community

GitHub Security Lab contributes to the broader security ecosystem. They find vulnerabilities in open source projects and build tools like CodeQL.

You can:

• Use the GitHub Advisory Database for vulnerability information
• Contribute queries back to the community
• Report vulnerabilities through coordinated disclosure
• Learn from Security Lab research

GitHub Advanced Security for Azure DevOps Users

What if you don’t use GitHub.com? You might still benefit from GHAS.

GHAS Works with Azure DevOps

Microsoft has brought GitHub Advanced Security to Azure DevOps. The features are similar:

• Secret scanning for repositories
• Dependency scanning for known vulnerabilities
• Code scanning with CodeQL

Configuration happens in Azure DevOps rather than GitHub. But the underlying technology is the same.

Why This Matters for Enterprises

Many enterprises use Azure DevOps for their main development workflow. They couldn’t easily adopt GHAS before.

Now they can get the same security scanning without migrating to GitHub. This opens GHAS to a much larger audience.

Differences from GitHub.com Implementation

The Azure DevOps version has some differences:

• Configuration through Azure rather than GitHub settings
• Different pricing model
• Integration with Azure security tools
• Some features may lag behind GitHub.com

Check Microsoft’s documentation for current feature parity.

Real Developer Experience with GitHub Advanced Security

What’s it actually like to use GHAS day to day?

The Developer Perspective

GitHub emphasizes keeping developers “in the flow.” What does this mean practically?

When you open a pull request:

1. Security checks run automatically
2. Results appear inline with other checks
3. Alerts show directly in the Files Changed tab
4. AI suggestions offer one-click fixes

You don’t log into a separate system. You don’t wait for a security team review. The feedback is immediate.

Handling Security Alerts

When an alert appears, you click it to see:

• What vulnerability was found
• Why it’s a problem
• How to fix it
• Example code for remediation

Good alerts explain the issue clearly. They don’t just say “vulnerability found.” They teach you what’s wrong.

The Learning Effect

Over time, developers who use GHAS write more secure code from the start. They’ve seen the same alert types repeatedly. They know to avoid those patterns.

This is the long-term value. Not just catching vulnerabilities. Teaching developers to prevent them.

What Security Teams See

Security teams get a different view. They see:

• Organization-wide alert trends
• Team-by-team comparisons
• Mean time to fix metrics
• Coverage reports

This visibility helps security teams work strategically. They’re not chasing individual issues. They’re improving the overall security posture.

A Quote from a Real Customer

GitHub shares this customer feedback:

“GitHub Advanced Security empowers our developers to detect and fix vulnerabilities earlier, accelerating our time to market and boosting developer satisfaction.”

The key word is “earlier.” Finding and fixing problems during development costs less than fixing them in production. It’s faster. It’s safer. And developers prefer it.

Security Compliance and GitHub Advanced Security

Many organizations have compliance requirements. GHAS can help meet them.

Compliance Frameworks GHAS Supports

Security scanning supports compliance with:

• SOC 2 – Demonstrates security controls
• ISO 27001 – Addresses code security requirements
• PCI DSS – Meets secure coding standards
• HIPAA – Supports healthcare data protection
• FedRAMP – Addresses federal security requirements

Audit Trail and Reporting

GHAS maintains records of:

• All alerts generated
• How each alert was resolved
• Who made the resolution
• When changes occurred

This audit trail supports compliance reporting. Auditors can see your security process working.

Required Checks for Governance

Branch protection rules create enforceable governance. You can prove that:

• All code goes through security scanning
• Critical vulnerabilities block deployment
• Secrets are detected before reaching production

This moves security from “best effort” to “enforced policy.”

Generating Compliance Reports

GHAS doesn’t generate compliance reports automatically. But it provides the data needed for reports.

Common report elements you can pull from GHAS:

• Number of vulnerabilities found and fixed
• Time to remediation metrics
• Coverage percentage across repositories
• Trend lines showing improvement

Export this data to your compliance reporting tools.

Troubleshooting Common GitHub Advanced Security Issues

Things don’t always work perfectly. Here’s how to handle common problems.

Problem: Code Scanning Not Running

If code scanning doesn’t run, check:

• Is the workflow file in the correct location?
• Are GitHub Actions enabled for the repository?
• Does the workflow have correct permissions?
• Is there a syntax error in the workflow file?

Look at the Actions tab for error messages. Failed runs usually explain what went wrong.

Problem: Too Many False Positives

High false positive rates hurt adoption. To reduce them:

• Review and dismiss false positives with reasons
• GitHub learns from dismissals over time
• Customize which queries run
• Exclude test files from scanning

Problem: Scan Times Are Too Long

Large codebases can have slow scans. Options include:

• Scan only changed files in PRs
• Schedule full scans for off-hours
• Exclude generated code from scanning
• Increase runner resources

Problem: Developers Ignoring Alerts

If developers ignore alerts, consider:

• Are alerts actionable? Improve alert quality.
• Is there training? Developers need to understand findings.
• Are there too many alerts? Prioritize and reduce noise.
• Is there accountability? Add required reviews.

Problem: Secret Scanning Missing Custom Secrets

Default patterns might miss your internal credential formats. Add custom patterns through organization settings.

Test patterns carefully before enabling push protection. A bad regex could block legitimate commits.

The Future of GitHub Advanced Security

What’s coming next for GHAS?

AI Capabilities Keep Growing

GitHub continues adding AI features. Expect more:

• Smarter vulnerability detection
• Better fix suggestions
• Natural language security queries
• Automated remediation for simple issues

AI won’t replace security teams. But it will make them more effective.

Broader Language and Framework Support

CodeQL adds new language support over time. More frameworks get specific query coverage. This expands protection to more codebases.

Deeper Supply Chain Security

Software supply chain attacks are increasing. GHAS is adding more features to address:

• Build provenance tracking
• Dependency verification
• SBOM generation
• Container security

Integration with GitHub Copilot

GitHub Copilot already helps write code. Future integration might help write secure code by default. The AI could avoid suggesting vulnerable patterns entirely.

Making the Decision: Is GitHub Advanced Security Right for You?

Not every organization needs GHAS. Here’s how to decide.

You Should Consider GHAS If:

• You already use GitHub for version control
• Security is a priority but current tools aren’t cutting it
• Developer adoption of security tools has been poor
• You need visibility across many repositories
• Compliance requirements demand code security

You Might Not Need GHAS If:

• You only have public repositories (features are free)
• You don’t use GitHub
• Current security tools are working well
• Budget is extremely limited
• You have very few developers or repositories

Questions to Ask Before Signing Up

1. How many active committers do we have?
2. Which repositories are highest risk?
3. What security tools do we already use?
4. Who will own the rollout and ongoing management?
5. What’s our budget for security tooling?

Answering these questions helps you make an informed decision and plan a successful implementation.

Conclusion

GitHub Advanced Security brings security scanning directly into your development workflow. The sign up process is straightforward for teams on GitHub Team or Enterprise Cloud plans. Secret Protection and Code Security work together to catch vulnerabilities before they reach production. With AI-powered suggestions and native GitHub integration, developers fix issues faster without leaving their familiar environment. The key to success is gradual rollout, proper training, and continuous improvement based on real metrics.

Frequently Asked Questions About GitHub Advanced Security Sign Up