AI Security Code Review

See how each pull request impacts security

Analyze every pull request across your organization for changes to your application’s security architecture — and detect risks that traditional scanners never see.

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How it works

Security Review table listing four categories: Authentication modification, Infrastructure configuration, Session management, and Third-party library integration, each with color-coded risk levels and columns for Assignee, Reviewer, and Security Risks.
1

Surface what matters

Scan every pull request to understand what changed and how it impacts security.

Overview section showing a security analysis radar chart with three categories: API & service entry points, configuration management, and authentication & authorization, each with progress bars.
2

Get context about changes

Summarize and ask questions about changes so you can get up to speed quickly.

Screenshot of a conversation with two users commenting; the first user’s comment is in a gray box, the second user’s reply in a green box includes headings Summary and Security Analysis.
3

Take action on findings

Route changes to the right stakeholders, enabling fast review and rapid resolution.

Securing human and AI-generated code at:

“We’re looking for better ways to scale how we identify business logic risks and unknown unknowns in our codebase. Traditional static analysis tools haven’t really given us the lift we need. Being able to detect risks that we’d otherwise miss manually or through traditional automation would be hugely valuable.”

Mark Breitenbach

Security Engineer, Dropbox

Security Review dashboard showing four items with labels: Authentication modification, Infrastructure configuration, Session management, and Third-party library integration, each with color-coded severity indicators and columns for Assignee, Reviewer, and Security Risks.

Identify

Surface what matters

Every pull request is analyzed by a trio of AI agents — trained to think like a developer, architect, and security engineer — to understand what changed and why it matters. The agents highlight shifts to your application’s security architecture and prioritize them by impact and confidence, so you can focus on what truly deserves attention. Detect changes to:

  • Authentication and authorization flows
  • Cryptographic algorithms and usage
  • Database schemas that introduce new PII collection
  • Payment processing logic and configurations
  • …and more
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review

Get context about changes

Every pull request is summarized in plain language, giving you clear, actionable context to understand what changed and why. Whether you’re jumping into an unfamiliar project or reviewing a teammate’s work, you can get up to speed faster — and if you need more detail, just ask.

  • Summarize code and architectural changes in natural language
  • Understand the intent behind a change, not just what was modified
  • Ask follow-up questions to explore logic, design, or risk in more depth
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Overview section showing a security analysis radar chart with shaded area and three categories: API & Service Entry Points, Configuration Management, and Authentication & Authorization.
Screenshot of a conversation thread showing two comments: one by ronharnik and a highlighted summary and security analysis response by endorlabs.

act

Take action on findings

Every finding is tied to the original pull request and its authors, so you can follow up directly, share insights in context, or route issues to the right teams. Whether it’s collaborating with developers, looping in security champions, or routing issues to the right team — like GRC to review new PII collection — you stay in control of what happens next.

  • Find and connect with authors to resolve issues faster
  • Share findings directly in pull requests where developers and security champions can review them
  • Use policies and the API to automate workflows by creating tickets for different teams
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AppSec for The Software Development Revolution

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