By clicking “Accept”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. View our Privacy Policy for more information.
Coding agents are already writing code, installing dependencies, and shipping changes across your organization, and most security teams can't yet answer for any of it.
System Behavior
Coding agents require privileged access, but can expose sensitive data, credentials, or run unsafe commands.
Code Security
Coding agents learn from open source software, and copy insecure patterns into your codebase or use unsafe dependencies.
Supply Chain
Every model, skill, MCP server, and tool call extends your supply chain. To an agent, a malicious skill or package looks like any other dependency.
Solution
Secure code from generation to production
One harness across design, development, review, and deployment. Your policy is enforced at the moment of action, and the audit trail comes with it.
Design
AURI inventories every coding agent, model, MCP server, and skill and learns your architecture from context files (AGENTS.md, CLAUDE.md), design docs, and custom prompts. Set policy once and agents work inside it instead of around it.
AURI plugs into the coding agent harness to block malicious packages before install, verify code is secure, fix vulnerabilities, and flag secrets before they’re leaked. Accessible via MCP server or a rich CLI.
Developer, architect, and security engineer agents review every PR for the architectural risk legacy scanners miss: an endpoint shipped without authentication, a removed OAuth state parameter, new PII collection.
Pre-built workflows triage findings and remediate dependencies with full context of your codebase from AURI. Runs on your infrastructure, read-only by default, every change approval-gated.
“As a fast-growing AI company, we prioritize feature velocity without compromising security. Endor Labs’ unique reachability-based analysis and native integrations into our AI-native software development stack keep our developers focused on rapidly finding and fixing real risks in the SDLC, so we ship faster with confidence.”
We’re excited to partner with Endor Labs as we continue to strengthen our security posture in this AI era. Their focus on actionable insights and seamless integration aligns with our commitment to building secure, reliable products for our customers."
Mark Turner
Head of Product Security, Atlassian
As a fast-growing AI company, we prioritize feature velocity without compromising security. Endor Labs’ unique reachability-based analysis and native integrations into our AI-native software development stack keep our developers focused on rapidly finding and fixing real risks in the SDLC, so we ship faster with confidence."