🛡️ AI-Powered Application Security
Endor Labs uses AI to help businesses identify and manage security risks across their software development process. It analyzes code, dependencies, and development activities to uncover potential weaknesses. This helps security teams detect problems earlier and reduce the chances of vulnerabilities reaching production. Developers can work faster while keeping their applications protected.
🔍 Software Composition Analysis (SCA)
Endor Labs scans open-source dependencies to identify known vulnerabilities and potential security risks. Its reachability analysis helps determine whether vulnerable code can actually affect an application. This allows developers to focus on issues that matter instead of spending hours reviewing unnecessary alerts. It makes dependency management more accurate and efficient.
🤖 AURI for AI Coding Agents
AURI helps developers build secure software while working with AI coding agents. It checks agent actions, blocks malicious packages, detects exposed secrets, and helps fix vulnerabilities. It also supports tools like Cursor, Claude Code, Codex, and VS Code. This makes it easier to bring security directly into AI-assisted development.
🔐 Secrets Detection
Endor Labs helps identify sensitive information, such as passwords, API keys, and access tokens, before they become a security problem. It provides protection across developer environments and software pipelines. By detecting exposed secrets early, teams can reduce the risk of unauthorized access and protect important business information.
📦 Malicious Package Detection
The platform helps prevent dangerous open-source packages from entering software projects. Its Package Firewall can block malicious dependencies before installation. This is especially useful when developers and AI coding agents frequently add new packages to their projects. It adds another layer of protection to the software supply chain.
⚙️ Automated Vulnerability Remediation
Endor Labs helps development and security teams prioritize, investigate, and fix vulnerabilities more efficiently. Its AI-powered workflows provide useful context and suggest ways to resolve security issues. Teams can reduce manual investigation, speed up remediation, and spend more time building reliable software instead of managing endless security alerts.
