All analysis was generated autonomously, without human review. Scores are analytical opinions drawn from the cited public sources, without hands-on testing. They are not audits, certifications, investment reports, purchasing advice, or evaluations of quality.
Endor Labs sells application security to enterprise security teams, and its platform cuts the flood of dependency alerts by tracing whether a flagged vulnerability can actually be reached and run in a customer's code. A newer feature inventories the open-source AI models a team pulls from Hugging Face and scores their risk. Named customers include OpenAI, Rubrik, Atlassian, Dropbox, and Snowflake, and Endor reports 30x revenue growth since 2023 on $163 million raised, plus a Gartner Visionary placement it displays on its site. A funded rival could rebuild both the scanning and the model scoring, so what a competitor cannot quickly take is the named install base and the scanning context wired into those pipelines, a head start rather than a durable moat.
| Description | Endor Labs is an application security company whose reachability-based platform analyzes open source dependencies, code, and pipelines to cut alert noise, and whose AI Model Discovery line inventories and scores open source AI models from Hugging Face. | [f1] |
|---|---|---|
| Founded | 2021 | [f2] |
| HQ | Palo Alto, California, USA | [f3] |
| Funding | $163M total | [f4] |
| Latest funding | Series B ($93M, April 2025, led by DFJ Growth) | [f3] |
| Product | What it does |
|---|---|
| AURI Application Security Platform | Reachability-based AppSec platform built on a code context graph over code, dependencies, containers, and services, with SCA, AI SAST, secrets, and agentic remediation for evidence-backed findings. |
| Endor Labs AI Model Discovery | Discovers open source AI models from Hugging Face and scores them across security, activity, popularity, and operational integrity so teams can make informed model-usage decisions. |
AI Defense Matrix
| Govern | Identify | Protect | Detect | Respond | Recover | |
|---|---|---|---|---|---|---|
| AI-Workload Platforms Inference servers, training platforms, vector DB platforms, and the model-loading supply chain. | ||||||
| AI Orchestration Tools Agentic orchestration tools, plus their plugins, skills, hooks, system prompts, scaffolding, harnesses, configuration settings, and MCP clients on user devices. | ||||||
| AI-Generated Code Code produced by AI tools, AI-assisted reviews, AI-generated infrastructure-as-code and tests, and vibe-coded apps that bypass CI/CD. | ||||||
| AI Gateways & Routers MCP proxies and gateways, LLM routers, outbound AI-service traffic, shadow AI egress, and model-registry traffic. | ||||||
| AI Model Model weights, fine-tuning checkpoints, model cards, registries, AIBOM, and the third-party LLMs your enterprise consumes. | ||||||
| Training Data Datasets used for training, fine-tuning, and continued learning. | ||||||
| Runtime AI Data User prompts, inference inputs, RAG content, vector DB content, persistent agent memory, and interaction history. | ||||||
| AI Agent Identities AI agents as non-human principals, plus credentials, keys, permission scopes, service accounts, and delegation chains across agents and tools. |
Endor Labs AI Model Discovery discovers open source AI models from Hugging Face and scores them across security, activity, popularity, and operational integrity to surface model risk. This capability is mapped to the AI Defense Matrix. [f5]
Cyber Defense Matrix
| Identify | Protect | Detect | Respond | Recover | |
|---|---|---|---|---|---|
| Devices Workstations, servers, phones, tablets, storage, network devices, IoT infrastructure, and similar hardware. | |||||
| Applications Software, interactions, and application flows on the devices. | |||||
| Networks Connections and traffic flowing among devices and apps, plus communication paths. | |||||
| Data Content at rest, in transit, or in use across devices, apps, and networks. | |||||
| Users The people using the devices, apps, networks, and data. |
The AURI platform builds a code context graph over code, dependencies, container images, and services, and applies reachability analysis, SCA, AI SAST, and agentic remediation to conventional applications and pipelines. This application-security work is mapped to the Cyber Defense Matrix. [f6]
How well the company can compete in its security market, scored across eight dimensions against public evidence.
| Dimension | Score |
|---|---|
| Problem Clarity How precisely the company defines its problem, with evidence the problem exists at the scale claimed. | 3/5 |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs, demos, and third-party validation. | 3/5 |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 4/5 |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 4/5 |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 4/5 |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 3/5 |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 4/5 |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 3/5 |
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A closer look at the company's product strategy, measuring how defensible it is against market forces and examining the eight areas behind it.
reinforce or reposition
| Dimension | Score |
|---|---|
| Value Delivery Does the product sell software as the product, or judgment, trust, or accountability with software as the delivery mechanism. | 1/3 |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 1/3 |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 3/3 |
| Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. | 3/3 |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 2/3 |
| Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. | 1/3 |
Unlock the Full Analysis
The reasoning for the scores, the strategy deep dive, the business risks, and more. AI access comes with the purchase, so your AI tools can read the full profile too. You keep 12 months of access.
One-time purchase: $20 per profile.
UnlockReading several? Unlock the entire catalog.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | Endor Labs homepage: AI-native application security platform | official | 2026-06-25 |
| f2 | Endor Labs: Our Story, founded in Palo Alto | official | 2026-06-25 |
| f3 | Endor Labs Series B: Palo Alto dateline | press | 2026-06-25 |
| f4 | TechCrunch: Endor Labs lands $93M, total raised $163 million | press | 2026-06-25 |
| f5 | AI Defense Matrix Catalog mapping (Endor Labs AI Model Discovery) | other | 2026-06-25 |
| f6 | Endor Labs AURI platform: reachability and code context graph | official | 2026-06-25 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Endor Labs homepage: customer logo wall and Gartner Visionary banner “World-class teams choose Endor Labs. The customer logo wall names Atlassian, Cursor, Dropbox, Glean, Robinhood, and Zebra. Endor Labs named a Visionary in the Gartner Magic Quadrant for Software Supply Chain Security.” | official | 2026-06-25 |
| s2 | Endor Labs AURI platform: reachability and code context graph “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. Reachability determines whether a known vulnerability in a dependency is actually invocable.” | official | 2026-06-25 |
| s3 | Endor Labs documentation: Secure AI Coding and model discovery “AI models and machine learning components have become integral parts of modern software development. Install ready-to-use Endor Labs security agents in your AI coding assistant.” | official | 2026-06-25 |
| s4 | AI Defense Matrix Catalog: Endor Labs AI Model Discovery mapping “Discovers open-source AI models from Hugging Face and scores them across security, activity, popularity, and operational integrity to surface model risk.” | other | 2026-06-25 |
| s5 | TechCrunch: Endor Labs lands $93M, total raised $163 million “The Series B brings the startup's total capital raised to $163 million. Endor now protects more than 5 million applications and runs over a million scans each week for customers including OpenAI, Rubrik, Snowflake, and Dropbox. 30x annual recurring revenue growth since our Series A in 2023.” | press | 2026-06-25 |
| s6 | Endor Labs: $93 million Series B led by DFJ Growth, named customers “Endor Labs today announced its oversubscribed $93 million Series B funding round led by DFJ Growth, with participation from Salesforce Ventures and existing backers including Lightspeed Venture Partners, Coatue, Dell Technologies Capital, Section 32, and Citi Ventures.” | press | 2026-06-25 |
| s7 | Endor Labs: Our Story, founders and Palo Alto founding “2021 Founded in Palo Alto, CA. Our founders, Varun Badhwar and Dimitri Stiliadis, are successful serial entrepreneurs who faced these challenges when they were leading Prisma Cloud through its hypergrowth phase at Palo Alto Networks.” | official | 2026-06-25 |
| s8 | Endor Labs blog: clean SOC 2 Type I audit result “We're excited to announce we have received a clean audit result on our SOC2 Type 1 certification. The successful completion of this SOC 2 Type I audit confirms our commitment to security and privacy.” | official | 2026-06-25 |
| s9 | Endor Labs Trust Center: live behind Cloudflare human verification “trust.endorlabs.com. Performing security verification. This website uses a security service to protect against malicious bots.” | official | 2026-06-25 |
| s10 | Endor Labs customer case study: Cursor noise reduction “Cursor. 97.5% noise reduction. Travis McPeak, Security, Cursor (Anysphere). Endor helps us do it quickly so we can deliver the most secure AI product possible.” | official | 2026-06-25 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Endor Labs homepage: customer logo wall and Gartner Visionary banner “World-class teams choose Endor Labs. The customer logo wall names Atlassian, Cursor, Dropbox, Glean, Robinhood, and Zebra. Endor Labs named a Visionary in the Gartner Magic Quadrant for Software Supply Chain Security.” | official | 2026-06-25 |
| s2 | Endor Labs AURI platform: reachability and code context graph “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. Reachability determines whether a known vulnerability in a dependency is actually invocable.” | official | 2026-06-25 |
| s3 | Endor Labs documentation: Secure AI Coding and Agent Kit “AI models and machine learning components have become integral parts of modern software development. Install ready-to-use Endor Labs security agents in your AI coding assistant.” | official | 2026-06-25 |
| s4 | AI Defense Matrix Catalog: Endor Labs AI Model Discovery mapping “Discovers open-source AI models from Hugging Face and scores them across security, activity, popularity, and operational integrity to surface model risk.” | other | 2026-06-25 |
| s5 | TechCrunch: Endor Labs lands $93M, total raised $163 million “The Series B brings the startup's total capital raised to $163 million. Endor now protects more than 5 million applications and runs over a million scans each week for customers including OpenAI, Rubrik, Snowflake, and Dropbox. 30x annual recurring revenue growth since our Series A in 2023.” | press | 2026-06-25 |
| s6 | Endor Labs: $93 million Series B led by DFJ Growth, named customers “Endor Labs today announced its oversubscribed $93 million Series B funding round led by DFJ Growth, with participation from Salesforce Ventures and existing backers including Lightspeed Venture Partners, Coatue, Dell Technologies Capital, Section 32, and Citi Ventures.” | press | 2026-06-25 |
| s7 | Endor Labs: Our Story, founders and Palo Alto founding “2021 Founded in Palo Alto, CA. Our founders, Varun Badhwar and Dimitri Stiliadis, are successful serial entrepreneurs who faced these challenges when they were leading Prisma Cloud through its hypergrowth phase at Palo Alto Networks.” | official | 2026-06-25 |
| s8 | Endor Labs blog: clean SOC 2 Type I audit result “We're excited to announce we have received a clean audit result on our SOC2 Type 1 certification. The successful completion of this SOC 2 Type I audit confirms our commitment to security and privacy.” | official | 2026-06-25 |
| s9 | Endor Labs Trust Center: live behind Cloudflare human verification “trust.endorlabs.com. Performing security verification. This website uses a security service to protect against malicious bots.” | official | 2026-06-25 |
| s10 | Endor Labs customer case study: Cursor noise reduction “Cursor. 97.5% noise reduction. Travis McPeak, Security, Cursor (Anysphere). Endor helps us do it quickly so we can deliver the most secure AI product possible.” | official | 2026-06-25 |
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