Security in every line, so you can code without compromise
.webp)
World-class teams choose Endor Labs
.webp)
How it works
.webp)
.webp)
.webp)
Unmatched code security intelligence
Your Tools, Your Languages
— All Secured
Built for teams that code without compromise
Endor Labs greatly reduced our CVE backlog, which helps satisfy the near zero tolerance for vulnerabilities often seen in highly regulated markets."
We have been pleasantly surprised about the lack of friction when trying new features outside, like container scanning, that are outside the traditional SCA scope. It took us just five minutes to set up a CircleCI job and give it a container from our registry, and we were immediately seeing results."
Endor Labs reduced our SCA alerts by 76%, which let us give back 11,424 development hours.”
Our collaboration with Endor Labs makes Defender for Cloud the first CNAPP to provide true code-to-runtime reachability."
Implementing Endor Labs is easy. I had exactly what I needed between the docs, CLI tool, a GitHub Action, and a GitHub app— all readily available."
Endor Labs is, in a good way, simplistic. The data I care about is quickly available to me."
Software analysis is hard, and there's only one company [Endor Labs] that's doing it correctly.”
%20(1).avif)
Endor Labs delivered on its promise to make SCA way more efficient and bubble up what actually matters much quicker."
Having something that was able to say, ‘We’re only focusing on things that are reachable, and we’re able to provide proof that it is reachable,’ was a huge win with the engineering team because they knew we were actually focused on solving real problems."
My team is responsible for remediating vulnerabilities. Endor helps us do it quickly so we can deliver the most secure AI product possible.”
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.”
Endor Labs is helping us adapt our application security program to address emerging risks from generative AI while using AI to scale and enhance its effectiveness.”
One of the main reasons we increased investment in Endor Labs was the additional telemetry for fix requirements. It allows us to further prioritize work, for example we can schedule a larger fix with many breaking changes for a later sprint while getting the easier ones done quickly."
.webp)
FAQs
AURI by Endor Labs is an AI-native application security platform built for agentic software development. It equips security agents with the tools, skills, and context they need to find vulnerabilities, validate they're real, and fix them — all within your existing development workflows. At its core is a code context graph that maps how your code, dependencies, container images, and services actually connect.
Traditional AppSec tools — SAST scanners, SCA tools, and vulnerability management platforms — flag alerts without understanding your application's actual architecture. They can't tell whether a vulnerability is reachable, whether upstream middleware already mitigates a finding, or what a valid fix looks like in your specific codebase. AURI’s proprietary code context graph combines deep program analysis, proprietary threat intelligence, and agentic AI reasoning to deliver evidence-backed findings instead of alert noise, and can autonomously remediate the issues it finds.
AI coding agents can write code, but lack security context — they can't see how your full application connects. AURI provides the missing security intelligence layer. It monitors code generated by AI agents, validates it against your application's architecture, catches vulnerabilities that single-file analysis would miss, and works directly with your coding agent to apply fixes. Think of AURI as the security intelligence your AI coding agent is missing.
AURI integrates with popular IDEs and coding tools including Cursor, Windsurf, VS Code, and Claude Code via MCP, Skills, and CLI. It plugs into your CI/CD pipeline via API and supports analysis across first-party code, open-source dependencies, and container images. For specific language and framework support details, contact our team or check the documentation.
Yes. AURI's autonomous remediation capability goes beyond flagging issues. When it identifies a real vulnerability, it already understands where the affected code is used, whether the vulnerable paths are reachable, and what a valid fix looks like in your specific codebase. It works directly with your coding agent to apply patches and refactor code to avoid breaking changes — without pulling developers off feature work.
AURI uses an LLM-native malicious package detection pipeline that analyzes package behavior the way a senior security researcher would — examining install scripts, obfuscation patterns, network calls, and data exfiltration signals in context. Unlike traditional YARA rule-based detection, which suffers from high false positive rates, AURI can scan and analyze any OSS package within two minutes at 99% accuracy. It catches threats like typosquatting, dependency confusion, and obfuscated exfiltration scripts before your agent ever imports them.
The code context graph is AURI's foundational technology. It's a deep representation of how your application actually works — mapping first-party code, open-source dependencies, container images, and data flows into a unified model. It's powered by purpose-built program analysis tools (call graph analysis, data flow analysis, code summarization, and code navigation) combined with proprietary vulnerability and threat intelligence at the function level. This graph is what allows AURI to reason about your application with the same depth as a senior security engineer.
Yes. AURI's MCP, Skills, and CLI are free for developers to install and start using immediately. You can add AURI to your editor in minutes and start writing more secure code. For enterprise teams that need AURI's full platform — including organization-wide policies, governance, and integrations — contact us to book a demo.
Most security backlogs grow because teams can't distinguish real risk from scanner noise, and fixing requires manual developer context-switching. AURI attacks this from both sides: it eliminates up to 95% of false positives so your backlog only contains real issues, and its autonomous remediation applies validated fixes inside your existing workflows. Teams can burn down backlogs that have been growing for years without pulling developers off feature work.
Start shipping with confidence
