AI visibility report for Endor Labs
Vertical: DevSecOps & Application Security
AI search visibility benchmark across 5 platforms in DevSecOps & Application Security.
Presence Rate
Top-3 citations across 125 prompt × platform pairs
Sentiment
Peer Ranking
Key Metrics
Platform Breakdown
Grok
Google AI Mode
Gemini Search
Perplexity
ChatGPTOverview
Endor Labs is an AI-native application security platform founded in 2021 and headquartered in Palo Alto, CA. Built by serial entrepreneurs Varun Badhwar and Dimitri Stiliadis, who previously scaled Prisma Cloud at Palo Alto Networks, the platform addresses overwhelming security alert volumes in modern software development. Its AURI engine combines agentic AI reasoning with deterministic program analysis and function-level reachability to surface only exploitable vulnerabilities across source code, open source dependencies, containers, secrets, and AI model integrations. The platform protects over 5 million applications and performs more than 1 million scans per week. Customers include OpenAI, Robinhood, Atlassian, Cursor, Dropbox, and Rubrik. Endor raised a $93M Series B in April 2025.
Endor Labs delivers a unified AppSec platform powered by its AURI engine, which merges agentic AI with deterministic program analysis to produce verifiable, reachability-confirmed security findings across code, open source dependencies, containers, secrets, and AI model integrations. The platform targets the false-positive noise problem endemic to traditional SCA and SAST tools, claiming up to 92% fewer alerts through function-level reachability filtering and call graph analysis. It integrates directly into AI coding assistants (Cursor, GitHub Copilot, Claude, Gemini) and standard CI/CD pipelines, and generates compliance-ready SBOMs, VEX documents, and audit evidence for FedRAMP, PCI DSS, DORA, and NIST frameworks. A proprietary Patches module enables CVE remediation without requiring dependency upgrades.
Key Facts
- Founded
- 2021
- HQ
- Palo Alto, CA, USA
- Founders
- Varun Badhwar, Dimitri Stiliadis
- Employees
- 100-200
- Funding
- ~$163M
- Customers
- 5M+ applications protected
- Status
- Private
Target users
Key Capabilities10
- Reachability-based SCA with function-level call graph analysis
- AI SAST with agentic detection, triage, and automated remediation (AURI engine)
- Secrets detection and validation
- Container image reachability scanning
- Malicious package and software supply chain threat detection
- SBOM generation, ingestion, and VEX management
- Upgrade impact analysis and backported security patches (Endor Patches)
- CI/CD pipeline discovery and security posture management
- AI model dependency governance
- Compliance reporting and artifact signing (FedRAMP, PCI DSS, DORA, NIST, SLSA)
Key Use Cases8
- Reducing SCA alert noise and developer friction caused by false positives
- Securing AI-generated, vibe-coded, and agentic application dependencies
- Software supply chain risk management and SBOM compliance
- Automated vulnerability triage and remediation integrated into CI/CD pipelines
- Container image vulnerability management with reachability context
- Governance of AI model integrations and third-party AI packages
- Regulatory compliance acceleration (FedRAMP, PCI DSS, DORA)
- Consolidating SAST, SCA, secrets detection, and container scanning onto one platform
Endor Labs customer outcomes
97% reduction in non-actionable SCA alerts
Zebra replaced a traditional SCA tool with Endor Labs across its product security program, achieving a dramatic reduction in non-actionable alerts and enabling teams to focus on genuinely exploitable vulnerabilities, with improved risk reporting to leadership.
76% reduction in SCA alerts; 11,424 development hours returned
Five9 adopted Endor Labs to address SCA alert volume, reducing security findings routed to developers and reclaiming significant engineering time previously spent on manual vulnerability triage.
97.5% noise reduction
Cursor deployed Endor Labs for SCA and dependency management, using function-level reachability analysis to cut irrelevant findings to just 2.5% of the total and build a stable, scalable remediation workflow without introducing breaking changes.
95% reduction in findings sent to developers
Robinhood switched from a previous SCA tool to Endor Labs, using precise reachability analysis and clear upgrade guidance to substantially reduce findings sent to developers while accelerating remediation of exploitable vulnerabilities.
98.3% noise reduction
Starburst adopted Endor Labs for SCA, reporting a near-complete elimination of noise in vulnerability findings and enabling the DevSecOps team to rapidly identify and address real risks earlier in the SDLC.
Recent Trend
How AI describes Endor Labs3
Endor Labs: Claims to minimize noise by full-stack reachability analysis that only alerts on truly exploitable issues, with evidence-based guidance and upgrade/patch pathways.
Which application security platforms are best at communicating vulnerabilities to developers in an actionable way rather than just generating noise?
...Platforms | Platform | Noise Reduction Strategy | Remediation Actionability | Best For | | --- | --- | --- | --- | | Endor Labs | Full-stack reachability analysis maps code call graphs to...
Which application security scanning tools are fastest at scale and least likely to slow down PR pipelines as the codebase grows?
Endor Labs : Focuses on dependency reachability analysis rather than basic package manifests.
Which security vendors update their vulnerability databases fastest after major CVE disclosures like Log4Shell?
Most cited sources8
- E61
9 Best SAST Tools in 2026: Accuracy, Speed, and Noise Compared | Blog | Endor Labs
endorlabs.com·Listicle
- E55
Best Application Security Tools for DevSecOps in 2026 | Blog | Endor Labs
endorlabs.com·Blog Post
- E46
Best Software Composition Analysis (SCA) Tools for 2026 | Blog | Endor Labs
endorlabs.com·Blog Post
- E39
Developer Security Tools Compared: A Practical Guide for 2026 | Blog | Endor Labs
endorlabs.com·Listicle
- E28
7 Best Application Security Tools for the AI Era (2026) | Blog | Endor Labs
endorlabs.com·Blog Post
- E16
Best DevSecOps Platform Tools for AppSec Teams in 2026 | Blog | Endor Labs
endorlabs.com·Blog Post
Alternatives in DevSecOps & Application Security6
Endor Labs positions itself as the AI-native application security platform purpose-built for the era of AI-generated and 'vibe-coded' software.
- Its primary differentiator is function-level reachability analysis—using call graphs and deterministic program analysis to surface only genuinely exploitable vulnerabilities, reducing alert noise by up to 92% versus traditional SCA tools.
- Its AURI engine (Agentic Unified Remediation Intelligence) combines agentic AI reasoning with deterministic program analysis to produce verifiable, auditable findings.
- Endor competes directly with Snyk and Semgrep on SCA/SAST with dedicated comparison landing pages, Socket on supply chain security, and GitGuardian on secrets detection, positioning itself as the consolidation platform replacing all four.
- Strategic partnerships with Microsoft Defender for Cloud and GitHub Advanced Security extend its reach into CNAPP and enterprise DevSecOps workflows.
Reviews
Praised
- Reachability analysis accuracy and proof of exploitability
- Dramatic reduction in false positives and alert noise
- Easy and fast CI/CD integration (GitHub, GitLab, CircleCI)
- Responsive and proactive customer support
- API-first design enabling custom vulnerability workflows
- Clear upgrade guidance and upgrade impact analysis
- Quick initial setup and low-friction deployment
- Actionable, prioritized findings focused on developer productivity
Criticized
- Pricing may be prohibitive for smaller businesses and startups
- Learning curve for advanced platform features
- Small public review base limits third-party validation
- Can require additional training to maximize advanced capabilities
Endor Labs holds a 4.8 out of 5 on G2 with 9 verified reviews (88% five-star) and a 4 out of 5 on Gartner Peer Insights with 2 reviews. Reviewers consistently praise the reachability analysis engine for dramatically reducing false positives and surfacing only genuinely exploitable vulnerabilities. Customers highlight fast CI/CD setup, responsive and proactive customer support, and the clarity of upgrade guidance. A minority of reviewers note the platform can be expensive for smaller organizations and that advanced features have a learning curve. The overall review pool remains small, reflecting the company's early-stage public profile relative to more established competitors.
Pricing
Endor Labs offers three product tiers on a quote-only basis: Core (reachability-based SCA, AI model discovery, OSS curation, SBOM and VEX generation), Pro (adds upgrade impact analysis, container scanning, binary scanning, artifact signing, and CI/CD security), and Patches (standalone or add-on module for backported CVE fixes without dependency upgrades). Add-ons include CoDe (AI SAST plus secrets detection) and SBOM Hub (centralized first- and third-party SBOM ingestion and management). No public pricing, per-seat rates, or free tiers are listed; all plans require contacting Endor Labs for a quote.
Limitations
- Pricing is entirely quote-based with no public tiers, which can slow procurement evaluation for smaller organizations.
- Reviewers on G2 note the platform can be relatively expensive for smaller businesses or startups.
- The advanced feature set has a learning curve for new users.
- The public review base is small (9 reviews on G2, 2 on Gartner Peer Insights), limiting third-party validation breadth compared to established competitors like Snyk or Checkmarx.
- Valuation and ARR are not publicly disclosed.
Frequently asked questions
Topic Coverage
Prompt-Level Results
| Prompt | Gemini Search | Perplexity | ChatGPT | Google AI Mode | Grok |
|---|---|---|---|---|---|
Capability4/5 cited (80%) | |||||
Which SAST tools have the lowest real-world false positive rates and the best tooling for managing them at scale? | |||||
What tools cover SAST, DAST, and SCA in one platform — and which do teams use to cover all three vulnerability types without tool sprawl? | |||||
Which secret scanning tools are best at both detecting credentials in git history and preventing new secrets from being committed? | |||||
Which application security platforms go beyond known CVEs to detect logic-level vulnerabilities and misconfigurations? | |||||
Which software supply chain security tools detect malicious packages, not just known vulnerable versions? | |||||
Developer Experience5/5 cited (100%) | |||||
Which DevSecOps platforms handle vulnerability prioritisation well when there are hundreds of findings across multiple repositories? | |||||
Which security scanning tools are best at reducing noise so developers actually act on alerts instead of ignoring them? | |||||
Which application security tools offer the best IDE-native experience vs. CI-only scanning — and what are the tradeoffs for developer adoption? | |||||
What security tooling do teams typically use for managing findings across dozens of repositories from a single security engineer workflow? | |||||
Which application security platforms are best at communicating vulnerabilities to developers in an actionable way rather than just generating noise? | |||||
Integrations & Ecosystem4/5 cited (80%) | |||||
Which application security tools integrate natively into the pull request workflow so findings can block or warn on merges? | |||||
Which DevSecOps tools integrate best with SIEM platforms for correlating app security findings with infrastructure events? | |||||
Which DevSecOps platforms have the best two-way integration with ticketing systems for tracking vulnerability remediation end to end? | |||||
Which security scanning platforms have the best support for SBOM generation workflows for compliance and audit requirements? | |||||
What cloud security posture management tools integrate well with container and orchestration platform security scanning? | |||||
Performance & Reliability5/5 cited (100%) | |||||
Which security vendors update their vulnerability databases fastest after major CVE disclosures like Log4Shell? | |||||
Which security scanning platforms handle availability well so a critical fix can still ship even if the scanning service goes down temporarily? | |||||
Which runtime application security tools have the lowest production overhead and are safe to run on high-traffic services? | |||||
Which application security scanning tools are fastest at scale and least likely to slow down PR pipelines as the codebase grows? | |||||
Which enterprise application security platforms scale best when scanning thousands of repositories across multiple teams? | |||||
Setup & First Run4/5 cited (80%) | |||||
What secrets management tools are best for a small startup team to ensure developers never commit credentials to the repo? | |||||
I'm rolling out a software composition analysis tool across an engineering org — which platforms have the smoothest onboarding for large teams? | |||||
Which SAST tools integrate into an existing CI pipeline without slowing down developer velocity? | |||||
What are the best software supply chain security tools for a polyglot monorepo with Node.js, Python, and Go services? | |||||
What are the best container image scanning tools that catch vulnerabilities before images are pushed to production? | |||||
Strengths5
What secrets management tools are best for a small startup team to ensure developers never commit credentials to the repo?
Avg # 1.0 · 1 platform
Which security scanning tools are best at reducing noise so developers actually act on alerts instead of ignoring them?
Avg # 1.5 · 2 platforms
Which application security platforms are best at communicating vulnerabilities to developers in an actionable way rather than just generating noise?
Avg # 1.7 · 3 platforms
Which security scanning platforms handle availability well so a critical fix can still ship even if the scanning service goes down temporarily?
Avg # 3.5 · 2 platforms
Which application security scanning tools are fastest at scale and least likely to slow down PR pipelines as the codebase grows?
Avg # 3.5 · 2 platforms
Gaps5
What security tooling do teams typically use for managing findings across dozens of repositories from a single security engineer workflow?
Competitors on 3 platforms
What are the best container image scanning tools that catch vulnerabilities before images are pushed to production?
Competitors on 3 platforms
Which software supply chain security tools detect malicious packages, not just known vulnerable versions?
Competitors on 3 platforms
Which DevSecOps tools integrate best with SIEM platforms for correlating app security findings with infrastructure events?
Competitors on 2 platforms
Which DevSecOps platforms have the best two-way integration with ticketing systems for tracking vulnerability remediation end to end?
Competitors on 2 platforms
Vertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Endor Labs | 36.0% | 20.8% | 0.0% | 35.2% | 31.2% | #19.6 | +0.28 |
| 2 | Wiz | 32.0% | 16.2% | 0.0% | 0.0% | 29.6% | #20.5 | +0.24 |
| 3 | Checkmarx | 28.0% | 17.3% | 2.4% | 2.4% | 27.2% | #24.0 | +0.28 |
| 4 | Snyk | 24.0% | 15.8% | 5.6% | 9.6% | 22.4% | #31.4 | +0.24 |
| 5 | Jit | 18.4% | 6.3% | 0.0% | 0.0% | 16.0% | #15.5 | +0.21 |
| 6 | Veracode | 12.0% | 8.3% | 1.6% | 6.4% | 12.0% | #27.2 | +0.27 |
| 7 | Semgrep | 10.4% | 7.0% | 3.2% | 4.0% | 9.6% | #45.6 | +0.33 |
| 8 | SonarSource | 6.4% | 2.6% | 0.0% | 0.8% | 6.4% | #24.8 | +0.19 |
| 9 | Aqua Security | 5.6% | 1.8% | 0.0% | 0.0% | 4.8% | #32.8 | +0.23 |
| 10 | GitGuardian | 4.8% | 3.7% | 0.8% | 4.0% | 3.2% | #24.4 | +0.10 |
| 11 | Socket | 0.8% | 0.2% | 0.0% | 0.0% | 0.8% | #20.0 | +0.00 |
| 12 | Chainguard | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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