Endor Labs Sign Up: Complete Guide to Getting Started with AI-Powered Application Security

Getting your team set up with the right application security tools can feel overwhelming. There are dozens of options out there, each promising to solve your security problems. Endor Labs stands out because it was built from the ground up for how teams actually work today, with AI-generated code, massive open source dependencies, and the constant pressure to ship faster without sacrificing security.

This guide walks you through everything you need to know about the Endor Labs sign up process. We’ll cover what makes this platform different, how to create your account, configure your first project, and get real value from the tool quickly. Whether you’re a startup founder or a security engineer at a Fortune 500 company, you’ll find practical steps to get started.

What Is Endor Labs and Why Does It Matter for Your Security Stack?

Endor Labs is an application security platform designed specifically for the AI era. Founded in 2021, the company has grown quickly. They raised $93 million in Series B funding in 2025, bringing their total funding rounds to five.

The platform helps development and security teams find, prioritize, and fix critical risks in their code. What makes it different from traditional security scanners? It actually understands your codebase structure.

The Problem with Traditional Application Security Tools

Most security tools throw thousands of alerts at your team. They flag every possible issue without context. Your developers spend hours investigating vulnerabilities that don’t actually affect your running code.

This creates alert fatigue. Teams start ignoring security findings because the signal-to-noise ratio is terrible. Real risks get buried under mountains of false positives.

Here’s what typically happens:

• A scanner finds 500 vulnerabilities in your dependencies
• Your team investigates and realizes 480 of them are in code paths that never execute
• Developers lose trust in the security tool
• Actual critical vulnerabilities get missed because nobody wants to dig through the noise anymore

How Endor Labs Solves the Noise Problem

Endor Labs uses reachability analysis. This means it traces whether vulnerable code actually gets called by your application. If a dependency has a vulnerability, but your code never touches that vulnerable function, you won’t get an alert about it.

The results speak for themselves. Cursor, the AI code editor company, saw a 97.5% noise reduction after switching to Endor Labs. Zebra Technologies reported a 97% reduction in non-actionable alerts.

Think about what that means for your team. Instead of 500 alerts, you might see 15 that actually matter. Your developers can focus on fixing real problems instead of chasing ghosts.

The AI-Native Approach

More code gets written by AI every day. GitHub Copilot, Claude, ChatGPT, and dozens of other tools generate production code. This creates new security challenges.

AI-generated code often pulls in dependencies that developers didn’t explicitly choose. It might use outdated patterns or include packages with known vulnerabilities. Traditional scanners weren’t built for this reality.

Endor Labs was designed with AI code in mind. It can:

• Discover AI models running in your codebase
• Govern how AI tools get used across your organization
• Provide AI-powered assistance for security analysis
• Suggest intelligent fixes based on your specific code context

Understanding the Endor Labs Registration Process

Signing up for Endor Labs is straightforward. The platform offers multiple authentication options to fit how your team already works. Let’s walk through each path.

Authentication Options for Creating Your Endor Labs Account

When you visit app.endorlabs.com, you’ll see four ways to log in:

The GitHub login option is particularly popular because it lets you quickly connect your repositories during the onboarding flow. You authenticate once and Endor Labs can scan your code without additional setup steps.

What You Agree to When Signing Up

By creating an account, you agree to the Endor Labs Privacy Policy and Terms of Service. This is standard for any SaaS platform, but it’s worth understanding what you’re agreeing to.

Key points from their terms:

• Endor Labs collects metadata about your code for analysis
• Your actual source code stays secure and isn’t shared
• They analyze open-source packages to compute risk scores
• AI-powered features use your code context to provide relevant suggestions

For teams with strict compliance requirements, you’ll want your legal team to review these documents before company-wide adoption. But for a personal trial or small team evaluation, you can get started immediately.

Enterprise vs. Individual Account Setup

Endor Labs serves both individual developers and large enterprises. The sign up process differs slightly based on your needs.

For individual developers or small teams:

• Click the sign up button
• Choose your authentication method
• Connect a repository
• Run your first scan

For enterprise deployments:

• Request a demo through their website
• Work with their sales team to understand your requirements
• Set up SSO integration with your identity provider
• Configure role-based access control
• Plan a phased rollout across development teams

Enterprise customers get additional features like FedRAMP compliance support, custom SLAs, and dedicated customer success managers.

Step-by-Step Guide to Your First Endor Labs Project Scan

Once you’ve created your account, the platform guides you through your first project scan. This is where the real value starts to become clear.

Connecting Your First Repository

After authentication, Endor Labs asks you to connect a repository. If you logged in with GitHub or GitLab, you’ll see your repositories listed automatically.

Pick the right repository for your first scan:

• Choose a project you actively maintain
• Select something with real dependencies, not a hello-world app
• Avoid your largest monorepo for the first scan, as it takes longer
• Pick a project where you know some security debt exists

Starting with a medium-complexity project lets you see meaningful results quickly without waiting hours for analysis to complete.

Understanding What Endor Labs Analyzes

The platform performs multiple types of analysis on your code. Understanding what happens during a scan helps you interpret the results.

Dependency analysis: Endor Labs builds a complete picture of your dependency tree. Direct dependencies, transitive dependencies, and their relationships all get mapped.

Vulnerability scanning: Known CVEs get matched against your dependencies. But unlike basic scanners, Endor Labs checks if vulnerable code paths are actually reachable from your application.

License compliance: Open source licenses have obligations. The platform identifies which licenses you’re using and flags potential compliance issues.

Malware detection: The open source ecosystem has a growing malware problem. Endor Labs maintains research on malicious packages and alerts you if any appear in your dependencies.

AI model discovery: If your codebase uses AI models, the platform identifies them and provides information about their security properties.

Reading Your First Scan Results

Your first scan results can feel overwhelming if you’re used to traditional security tools. But Endor Labs organizes information to highlight what actually needs attention.

The dashboard shows:

• Total findings categorized by severity
• Reachable vs. unreachable vulnerabilities
• Risk scores for your dependencies
• Compliance status against frameworks you care about

Focus first on reachable critical vulnerabilities. These represent actual risk to your running application. Everything else can wait until you’ve addressed the most pressing issues.

Setting Up CI/CD Integration

Running manual scans is fine for evaluation. But the real power comes from integrating Endor Labs into your continuous integration pipeline.

The platform supports integration with:

• GitHub Actions
• GitLab CI
• Jenkins
• CircleCI
• Azure DevOps
• Bitbucket Pipelines

With CI/CD integration, every pull request gets scanned automatically. Developers see security feedback while the code is still fresh in their minds. Issues get fixed before they merge, not months later during an audit.

Endor Labs Features That Speed Up Your Onboarding

The platform includes several features specifically designed to help new users get value quickly. Let’s look at what’s available.

AI-Powered Documentation Integration

One of the more interesting features: you can connect Endor Labs documentation to your AI coding tools. This works with Cursor, VS Code, Claude, and other environments.

What does this mean practically? When you’re stuck on how to use a feature, you can ask your AI assistant. It has access to the full Endor Labs documentation and can give you accurate, contextual answers.

No more switching between tabs and searching through docs. Your AI assistant becomes an expert on the platform.

Risk Scoring That Actually Makes Sense

Endor Labs collects and analyzes massive amounts of metadata about open-source packages. This powers their risk scoring system.

Risk scores consider:

• Known vulnerabilities and their severity
• Maintenance activity, whether the project is actively maintained
• Contributor reputation and history
• Code quality signals
• Historical security track record
• License compatibility with your project

This gives you more than a simple “vulnerable” or “not vulnerable” binary. You can see which dependencies represent ongoing risk even without current CVEs.

Intelligent Remediation Suggestions

Finding vulnerabilities is only half the battle. Fixing them is where most teams struggle. Endor Labs provides AI-powered remediation suggestions based on your specific code context.

The platform doesn’t just say “upgrade to version X.” It considers:

• Whether the upgrade introduces breaking changes
• What other dependencies might be affected
• Alternative fixes if an upgrade isn’t possible
• The actual code changes needed in your repository

The company claims teams can fix code 6.2x faster with these intelligent suggestions. Even if that number varies based on your specific situation, the time savings are real.

Compliance and Standards Support After Sign Up

Many teams choose Endor Labs because they need to meet specific compliance requirements. The platform supports several major frameworks out of the box.

FedRAMP Compliance

Government contractors and agencies face strict security requirements under FedRAMP. Endor Labs helps teams meet these requirements by:

• Providing continuous monitoring of software components
• Generating audit-ready reports
• Documenting security controls and their status
• Tracking remediation efforts over time

PCI DSS Requirements

If your application handles payment card data, PCI compliance isn’t optional. Endor Labs maps its security findings to PCI DSS requirements, helping you:

• Identify which vulnerabilities affect PCI scope
• Prioritize fixes based on compliance impact
• Document your security testing for auditors
• Track compliance status continuously

SLSA Framework Support

Supply-chain Levels for Software Artifacts (SLSA) is becoming increasingly important. Endor Labs helps you understand and improve your SLSA level by:

• Analyzing your build process security
• Verifying provenance of dependencies
• Identifying gaps in your supply chain security
• Suggesting improvements to reach higher SLSA levels

NIST SSDF Compliance

The NIST Secure Software Development Framework provides guidance for secure development practices. Endor Labs aligns with SSDF recommendations and helps you:

• Document your secure development practices
• Identify where your processes fall short
• Generate evidence for audits and assessments
• Track improvement over time

Understanding Endor Labs Pricing and Plans

Pricing varies based on your organization’s size and needs. Here’s what we know about their approach.

Trial and Evaluation Options

Most enterprise security tools hide behind “contact sales” buttons. Endor Labs takes a different approach. You can create an account and run scans to see actual results before committing to a paid plan.

This lets you:

• Test the platform against your real codebase
• See how reachability analysis reduces noise in practice
• Evaluate the quality of remediation suggestions
• Determine if the tool fits your workflow

Factors That Affect Pricing

Enterprise pricing typically depends on:

• Number of developers or users
• Number of repositories being scanned
• Frequency of scans
• Support level required
• Compliance requirements
• Integration complexity

For accurate pricing, you’ll need to request a demo and discuss your specific requirements with their sales team.

ROI Considerations

Security tool ROI is hard to measure. But consider these factors when evaluating Endor Labs:

Time saved on triage: If your team spends 10 hours per week investigating false positives, a 97% noise reduction saves roughly 9.7 hours weekly. That’s nearly 500 hours per year per person.

Faster fixes: The 6.2x faster remediation claim translates to real developer time savings. If a fix that took 2 hours now takes 20 minutes, you free up capacity for feature work.

Reduced risk of breaches: Focusing on reachable vulnerabilities means you fix actual risks. This reduces the likelihood of a security incident stemming from a known vulnerability.

Compliance audit costs: Automated compliance reporting reduces the time spent preparing for audits. This matters more for regulated industries.

How Endor Labs Compares to Other Security Platforms

Choosing a security platform means understanding how different options stack up. Let’s look at where Endor Labs fits in the landscape.

Compared to Traditional SCA Tools

Traditional Software Composition Analysis (SCA) tools like Snyk, WhiteSource, and Black Duck have been around for years. They scan dependencies and flag known vulnerabilities.

Where Endor Labs differs:

• Reachability analysis distinguishes it from most traditional tools. Instead of alerting on every CVE, it tells you which ones matter to your running code.
• The AI-native approach addresses code written by AI assistants, which traditional tools weren’t designed for.
• Risk scoring goes beyond vulnerability counts to assess overall dependency health.

Where traditional tools might win:

• Longer track record and more mature integrations
• Larger customer base means more shared knowledge
• Pricing may be more predictable for some organization sizes

Compared to SAST Tools

Static Application Security Testing (SAST) tools like SonarQube, Checkmarx, and Fortify analyze your own code for vulnerabilities, not just dependencies.

Endor Labs focuses primarily on dependency and supply chain security. It’s not a direct replacement for SAST. Many teams use both:

• SAST for vulnerabilities in code you write
• Endor Labs for vulnerabilities in code you depend on

The platforms complement each other rather than competing directly.

Compared to GitHub Advanced Security

GitHub Advanced Security includes dependency scanning, secret scanning, and code scanning. It’s tightly integrated with GitHub’s platform.

Key differences:

• Endor Labs offers deeper reachability analysis
• GitHub Advanced Security only works with GitHub
• Endor Labs supports multiple version control systems
• AI code governance features are more developed in Endor Labs

For teams fully committed to GitHub, Advanced Security might be simpler. For multi-platform environments or those needing advanced features, Endor Labs provides more capability.

What Happens After You Create Your Endor Labs Account

The sign up process is just the beginning. Here’s what the typical journey looks like for new users.

Week One: Initial Setup and First Scans

During your first week, focus on:

• Connecting your most active repositories
• Running initial scans to establish a baseline
• Understanding how to read findings and risk scores
• Identifying the most critical reachable vulnerabilities

Don’t try to fix everything immediately. The goal is understanding your current state.

Week Two: Team Onboarding and Workflow Integration

Bring your development team into the process:

• Set up CI/CD integration for automated scanning
• Configure notification preferences so alerts go to the right people
• Establish policies for how to handle new findings
• Train developers on interpreting results

Month One: Establishing Rhythms

By the end of month one, you should have:

• A regular cadence for reviewing security findings
• Clear ownership of vulnerability remediation
• Metrics tracking your security posture improvement
• Integration with your existing ticketing system

Ongoing: Continuous Improvement

Security is never “done.” With Endor Labs in place, you’ll continuously:

• Review new findings from code changes
• Update dependencies when safe upgrades become available
• Respond to newly disclosed vulnerabilities
• Expand coverage to additional repositories
• Refine policies based on what you learn

Real-World Results from Endor Labs Customers

Let’s look at specific examples of what teams have achieved after signing up.

Cursor Case Study

Cursor builds the popular AI-powered code editor. As a company creating tools for developers, they need to ship secure software.

Their results with Endor Labs:

• 97.5% reduction in noise from security alerts
• Faster identification of actual vulnerabilities
• Better confidence in their security posture
• More developer time available for building features

The 97.5% noise reduction number is striking. It means that for every 100 alerts from a traditional tool, only 2-3 required action. Developers weren’t wasting time on the other 97.

Zebra Technologies Case Study

Zebra Technologies is an enterprise company with complex software supply chain requirements. They needed better visibility into their dependency risks.

What they achieved:

• 97% reduction in non-actionable alerts
• Better prioritization of remediation efforts
• Clearer compliance reporting
• Improved developer productivity

Both case studies show similar noise reduction numbers. This suggests the results are repeatable across different types of organizations.

Common Questions During the Sign Up Process

Based on typical questions from new users, here’s what you might wonder about.

Do I Need to Share My Source Code?

Endor Labs needs to analyze your code to provide accurate results. But this doesn’t mean uploading your entire codebase to their servers.

The platform offers different deployment options depending on your security requirements:

• Cloud-hosted analysis where code is processed securely
• On-premises options for highly sensitive environments
• Hybrid approaches that keep certain data local

Discuss your specific requirements with their team during evaluation.

How Long Does a Full Scan Take?

Scan time depends on your codebase size and complexity. Generally:

• Small projects (under 100K lines): A few minutes
• Medium projects (100K-1M lines): 15-30 minutes
• Large monorepos: Could take several hours for initial analysis

Incremental scans after the initial baseline are much faster, as only changed code needs analysis.

What Programming Languages Are Supported?

Endor Labs supports a wide range of languages and ecosystems. According to their documentation, they can analyze codebases from “40 year-old C++ to modern Bazel monorepos.”

Major supported ecosystems include:

• JavaScript/TypeScript (npm)
• Python (pip, Poetry)
• Java (Maven, Gradle)
• Go
• Ruby
• Rust
• .NET
• C/C++

Check their documentation for the full list and any limitations for specific package managers.

Can I Try Before Committing to a Contract?

Yes. You can create an account and run scans to evaluate the platform. This lets you see real results against your actual codebase before making a purchasing decision.

For enterprise features and full capability access, you’ll want to request a demo and work with their sales team.

Best Practices for Getting Maximum Value

After helping many teams adopt security tools, these practices consistently lead to better outcomes.

Start with High-Value Repositories

Don’t try to scan everything on day one. Pick repositories that:

• Handle sensitive data or transactions
• Have the most external exposure
• Are actively developed and maintained
• Have known security debt you want to address

Success with a few important projects builds momentum for broader adoption.

Get Developer Buy-In Early

Security tools fail when developers see them as obstacles. Show your team the noise reduction benefits. When developers see that alerts are actually actionable, they’ll engage with the tool instead of ignoring it.

Include developers in:

• Tool evaluation and selection
• Policy configuration decisions
• Workflow integration planning
• Feedback loops for improvement

Set Realistic Remediation Goals

You won’t fix every vulnerability overnight. Create a prioritized plan:

1. Address reachable critical vulnerabilities first
2. Move to reachable high-severity issues
3. Consider unreachable criticals that could become reachable
4. Plan for ongoing maintenance of dependency updates

Track metrics over time. Your goal is continuous improvement, not perfection on day one.

Connect to Your Existing Tools

Endor Labs works best as part of your existing ecosystem:

• Integrate with Jira or your ticketing system for remediation tracking
• Set up Slack or Teams notifications for critical findings
• Connect to your CI/CD pipeline for automated scanning
• Export data to your SIEM if you have centralized security monitoring

The less friction in your workflow, the more likely the tool will actually get used.

The Team Behind Endor Labs

Understanding who builds a product helps you evaluate whether they’ll be around long-term and continue improving it.

Company Background

Endor Labs was founded in 2021. The company has grown to between 51-200 employees, with about 205 people listing it as their current employer on LinkedIn.

They’ve raised funding across five rounds, with the most recent being a $93 million Series B in 2025. Investors include DFJ Growth and other notable firms.

This funding level suggests they have runway to continue developing the product and supporting customers for years to come.

Research and Thought Leadership

Endor Labs invests heavily in security research. They publish reports and research including:

• State of Dependency Management annual reports
• Malware in Open Source Ecosystems research
• AI Code Security Benchmark studies
• Software Supply Chain Threat Intelligence

This research feeds back into the product, improving detection capabilities and risk scoring accuracy.

Company Culture and Hiring

The company made the 2024 Inc. Best Workplaces List. Their careers page highlights:

• Individual accountability for actions and results
• Diverse holiday observance
• Flexible PTO policies
• Innovation-focused culture

A healthy company culture usually translates to better product development and customer support.

Security Research and Intelligence

One aspect that sets Endor Labs apart is their investment in original security research. This isn’t just marketing. It directly improves what the product can detect and how it helps you prioritize.

Software Supply Chain Threat Intelligence

The platform maintains active threat intelligence about supply chain risks. This includes:

• Newly discovered malicious packages
• Emerging attack patterns against open source
• Trends in dependency-based attacks
• Zero-day vulnerability tracking

When a new supply chain attack emerges, Endor Labs customers often know about it before it hits mainstream security news.

Annual Research Reports

The State of Dependency Management Report provides data-driven insights into how the open source ecosystem is evolving. The 2025 edition covers:

• Impact of AI coding agents on dependency selection
• Trends in software supply chain risk
• Best practices emerging from industry data
• Predictions for how dependency management will evolve

These reports are free to download and provide value even if you’re not yet a customer.

Agent Security League

With AI coding agents becoming more common, Endor Labs launched research specifically focused on AI code security. This helps teams understand:

• How AI-generated code differs in security characteristics
• Unique risks introduced by AI assistants
• Best practices for governing AI code generation
• Benchmarks for evaluating AI code security

Integration with Developer Tools and Workflows

A security tool that doesn’t fit into existing workflows won’t get used. Endor Labs designed their integrations to meet developers where they already work.

IDE Integration

Developers spend most of their time in their editor. Endor Labs connects to:

• VS Code for real-time security feedback
• Cursor for AI-assisted development with security awareness
• Other IDEs through language server protocols

This means developers see security issues as they code, not hours later when a CI pipeline fails.

Source Control Integration

Support for major version control platforms includes:

• GitHub (including GitHub Enterprise)
• GitLab (including self-hosted)
• Bitbucket
• Azure DevOps

Pull request annotations show security findings inline with code reviews. Teams can require security checks to pass before merging.

Issue Tracking Integration

When vulnerabilities need fixing, they should flow into your existing project management:

• Jira integration for enterprise teams
• GitHub Issues for smaller teams
• Linear for modern development teams
• Custom webhooks for other systems

This prevents security work from living in a separate system that nobody checks.

Advanced Features for Mature Security Programs

As your security program matures, Endor Labs offers capabilities beyond basic scanning.

Policy as Code

Define your security policies programmatically. This lets you:

• Enforce consistent rules across all repositories
• Version control your security policies
• Automate policy enforcement in CI/CD
• Audit policy changes over time

Custom Risk Scoring

Out-of-the-box risk scores work for most organizations. But you can customize scoring based on your specific needs:

• Weight certain factors higher based on your risk profile
• Create custom rules for your industry requirements
• Integrate internal threat intelligence
• Adjust thresholds for your risk tolerance

SBOM Generation and Management

Software Bill of Materials (SBOM) requirements are becoming mandatory in many contexts. Endor Labs can:

• Generate SBOMs in standard formats (SPDX, CycloneDX)
• Track SBOM changes over time
• Identify when new vulnerabilities affect components in your SBOM
• Share SBOMs with customers who require them

Multi-Tenant Organization Support

Large enterprises often need to separate security data between business units or products:

• Separate environments for different teams
• Role-based access control at multiple levels
• Consolidated reporting for security leadership
• Flexible hierarchy matching your organization structure

Getting Support After You Sign Up

Even the best tools sometimes need help. Here’s what support looks like with Endor Labs.

Documentation and Self-Service

The documentation at docs.endorlabs.com covers:

• Getting started guides for new users
• API reference for custom integrations
• Configuration options and best practices
• Troubleshooting common issues

The AI documentation integration mentioned earlier makes this documentation even more accessible.

Community and Learning Resources

Beyond official documentation:

• Blog posts covering specific use cases
• Webinars and training sessions
• Case studies from other customers
• Research reports with practical applications

Enterprise Support Options

Paid plans typically include:

• Dedicated customer success manager
• Priority support tickets
• Regular account reviews
• Help with complex integrations
• Security questionnaire assistance

Future Roadmap and Product Direction

While companies rarely share detailed roadmaps, we can make informed guesses about where Endor Labs is heading based on their current focus areas.

Deeper AI Code Analysis

As AI writes more production code, expect the platform to add:

• Better detection of AI-specific security patterns
• Governance for more AI model types
• Integration with additional AI coding assistants
• Benchmarking AI code quality over time

Expanded Language and Framework Support

Coverage will likely expand to include:

• Newer programming languages gaining adoption
• Additional package managers and build systems
• Better support for polyglot monorepos
• More granular analysis for complex frameworks

Enhanced Remediation Automation

The trend toward automated fixes will continue:

• More automated pull requests for safe upgrades
• Better handling of breaking changes
• Integration with dependency update tools like Dependabot and Renovate
• AI-assisted code changes for complex fixes

Conclusion: Is Endor Labs Right for Your Team?

Endor Labs offers a modern approach to application security that addresses the real problems teams face today: alert fatigue, AI-generated code, and complex supply chains. The sign up process is straightforward, with multiple authentication options and a clear path to your first scan. If your team struggles with noisy security tools or needs better visibility into dependency risks, it’s worth evaluating. Create an account, run a scan against a real project, and see if the noise reduction claims hold up for your specific codebase.

Frequently Asked Questions About Endor Labs Sign Up and Account Creation