What it does
This is the AI security review feature of Endor Labs, an application security platform. It looks at each pull request across your organization for changes to the security design of your application, aiming to catch risks that conventional scanners miss. Every pull request is examined by three AI agents described as thinking like a developer, an architect and a security engineer. They flag shifts such as changes to authentication and authorization flows, cryptographic algorithms and usage, database schemas that add new personal data collection, and payment processing logic, then rank them by impact and confidence. Each pull request also gets a plain-language summary of what changed and why, and you can ask follow-up questions about logic, design or risk. Findings stay tied to the original pull request and its authors. You can share them in the pull request, route them to the right team, or use policies and the API to open tickets automatically. The page offers a demo and a free trial; pricing is not stated on it.
Capabilities
- Three AI agents review every pull request
- Detects changes to auth flows, cryptography, PII collection and payments
- Findings ranked by impact and confidence
- Plain-language summaries with follow-up questions
- Findings linked to pull requests and their authors
- Policies and API for automatic ticket creation
When to use it
- Your security team needs visibility into architecture-level changes across many pull requests
- You want to review both human-written and AI-generated code for security impact
- You need to route privacy-relevant changes to compliance or security champions
- You want to triage which pull requests deserve a closer security look
Alternatives to explore
- Snyk
- Semgrep
- Socket
