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Agentic Coding Security

Speed oror AND security.
The best teams code without compromise.

AURI helps agents write secure code from the start and governs the actions they take, without slowing builders down.
Trusted by leading security and engineering teams
Problem

Every coding agent has the same blind spots

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.
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Develop
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.
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Review
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.
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Deploy
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.
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For Developers

Add AURI to any coding agent

Fix vulnerabilities, detect secrets, and block malicious dependencies in your AI coding workflow—free forever.
Results

Vetted by security leaders

More Customer Stories
70%
faster mean time to remediation
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2.6x
more true positives than frontier AI models
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12x
fewer tokens for the same work
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97%
reduction in noise
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“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.”
Sunil Agrawal Photo
Sunil Agrawal
CISO @ Glean
Customers

Don’t take our word for it

Endor Labs' native Bazel integration is the best on the market. It’s eliminated the previous complexity, delivering the confidence required to shift left and reliably identify/remove unused dependencies."

Kevin Vaughan
Sr. Manager Information Security, Rubrik
Kevin VaughanSr. Manager Information Security, Rubrik

Security teams don't scale linearly with engineering. If your operating model requires a security engineer in the loop on every finding, you've already lost the velocity argument before the conversation starts. Our job is to put evidence directly in front of the developer with enough fidelity that they can act on it without our involvement. Reachability analysis is the piece that made that credible at our scale.”

Dawid Balut
VP of Security @ Egnyte
Dawid BalutVP of Security @ Egnyte

Endor Labs is like noise canceling headphones for vulnerability management and AppSec. We're able to focus only on the signal and avoid the noise. Our engineering team stays focused on shipping great products, security focuses on mitigating risk, and the company is focused on being a profitable company.”

Joshua Domagalski
CISO, Astronomer
Joshua DomagalskiCISO, Astronomer

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
Mark TurnerHead 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."

Sunil Agrawal
CISO, Glean
Sunil AgrawalCISO, Glean

Code without compromise.