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AI visibility report

Endor Labs ranks #1 in DevSecOps & Application Security AI search.

Outside the top three on 8 of the 25 prompts buyers actually ask.

Wiz is cited on 4 of those losses.

25 prompts
6 platforms
Updated Jul 17, 2026 - refreshed weekly
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34percent
Presence Rate
Weak presence

Best among 12 vendors · still absent from 66% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

+0.33
Sentiment
-1.00.0+1.0
Positive
#1of 12

Peer Ranking

#1#12
Top tierin DevSecOps & Application Security

Key Metrics

Presence Rate34.0%
Share of Voice27.4%
Avg Position#17.3
Docs Presence0.0%
Blog Presence33.3%
Brand Mentions21.3%

Platform Breakdown

Grok
84%21/25 prompts
Perplexity
48%12/25 prompts
Gemini Search
28%7/25 prompts
Google AI Mode
24%6/25 prompts
ChatGPT
16%4/25 prompts
Bing Copilot
4%1/25 prompts

Leader, with room to expand. Endor Labs leads this category on presence and share of voice, but appears in only 34% of tracked prompt responses. The priority is defending current wins while expanding absolute coverage.

Where Endor Labs is losing

Prompts where competitors are visible and Endor Labs is not.

These prompt-level losses are the first prompts to track and repair.

Where Endor Labs is winning5

  • 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 secret scanning tools are best at both detecting credentials in git history and preventing new secrets from being committed?

    Avg # 2.0 · 1 platform

  • Which security scanning tools are best at reducing noise so developers actually act on alerts instead of ignoring them?

    Avg # 2.4 · 5 platforms

  • Which application security tools offer the best IDE-native experience vs. CI-only scanning — and what are the tradeoffs for developer adoption?

    Avg # 2.5 · 2 platforms

  • I'm rolling out a software composition analysis tool across an engineering org — which platforms have the smoothest onboarding for large teams?

    Avg # 3.0 · 2 platforms

Where Endor Labs is losing5

  • Which DevSecOps platforms handle vulnerability prioritisation well when there are hundreds of findings across multiple repositories?

    Competitors on 3 platforms

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  • Which application security tools integrate natively into the pull request workflow so findings can block or warn on merges?

    Competitors on 3 platforms

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  • Which DevSecOps tools integrate best with SIEM platforms for correlating app security findings with infrastructure events?

    Competitors on 2 platforms

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  • Which security scanning platforms handle availability well so a critical fix can still ship even if the scanning service goes down temporarily?

    Competitors on 2 platforms

    Track this prompt
  • Which security scanning platforms have the best support for SBOM generation workflows for compliance and audit requirements?

    Competitors on 2 platforms

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Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

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

AppSec engineers and security teams at growth-stage and enterprise software companiesDevSecOps engineers embedding security in CI/CD workflowsCISOs and security leaders managing vulnerability backlogs in regulated industriesPlatform engineering teams adopting AI coding assistantsCompliance and risk officers requiring SBOM, VEX, and audit evidenceSoftware engineers and security-minded developer teams with large OSS dependency footprints

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

Zebra Technologies

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.

Five9

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.

Cursor (Anysphere)

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.

Robinhood

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.

Starburst

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

Visibility-9.6 pts
Avg position-3.36
Sentiment-0.03

How AI describes Endor Labs3

...nagement | | FOSSA | ★★★★★ | License compliance and SBOM programs | Security depth isn't as broad as some competitors | | Endor Labs | ★★★★☆ | Teams struggling with alert fatigue | Newer platform than long-established incumbents | ### If you want the sm...

I'm rolling out a software composition analysis tool across an engineering org — which platforms have the smoothest onboarding for large teams?

chatgpt-searchDirect Endor Labs mention
...mended tools | Why they work well | | --- | --- | --- | | Dependency & vulnerability scanning | Snyk, Trivy, OSV-Scanner, Endor Labs | Find vulnerable dependencies across ecosystems | | SBOM generation | Syft | Excellent support for Node, Python, Go, con...

What are the best software supply chain security tools for a polyglot monorepo with Node.js, Python, and Go services?

chatgpt-searchDirect Endor Labs mention
...| --- | --- | | Socket | ✓ | ✓✓✓ | Behavioral analysis, install scripts, network access, obfuscation, typosquatting | | Endor Labs | ✓ | ✓✓✓ | Malware analysis, package firewall, threat intelligence | | SafeDep | Limited | ✓✓✓ | Registry monitoring and...

Which software supply chain security tools detect malicious packages, not just known vulnerable versions?

chatgpt-searchDirect Endor Labs mention

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.
View category comparison hub

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 coverageCoverage by buyer topic

Topic Coverage

Capability5/5DevEx5/5Integrations &Ecosystem4/5Performance &Reliability5/5Setup & First Run3/5

Prompt-Level Results

Brand citedCompetitor citedNot cited
PromptGoogle AI ModeChatGPTPerplexityBing CopilotGemini SearchGrok
Capability5/5 cited (100%)

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?

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 SAST tools have the lowest real-world false positive rates and the best tooling for managing them at scale?

Which secret scanning tools are best at both detecting credentials in git history and preventing new secrets from being committed?

Developer Experience5/5 cited (100%)

Which application security platforms are best at communicating vulnerabilities to developers in an actionable way rather than just generating noise?

What security tooling do teams typically use for managing findings across dozens of repositories from a single security engineer workflow?

Which security scanning tools are best at reducing noise so developers actually act on alerts instead of ignoring them?

Which DevSecOps platforms handle vulnerability prioritisation well when there are hundreds of findings across multiple repositories?

Which application security tools offer the best IDE-native experience vs. CI-only scanning — and what are the tradeoffs for developer adoption?

Integrations & Ecosystem4/5 cited (80%)

What cloud security posture management tools integrate well with container and orchestration platform security scanning?

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?

Which application security tools integrate natively into the pull request workflow so findings can block or warn on merges?

Performance & Reliability5/5 cited (100%)

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 security vendors update their vulnerability databases fastest after major CVE disclosures like Log4Shell?

Which enterprise application security platforms scale best when scanning thousands of repositories across multiple teams?

Which application security scanning tools are fastest at scale and least likely to slow down PR pipelines as the codebase grows?

Setup & First Run3/5 cited (60%)

Which SAST tools integrate into an existing CI pipeline without slowing down developer velocity?

I'm rolling out a software composition analysis tool across an engineering org — which platforms have the smoothest onboarding for large teams?

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?

What secrets management tools are best for a small startup team to ensure developers never commit credentials to the repo?

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Vertical Ranking

#BrandPres.SoVDocsBlogMent.PosSentiment
1Endor Labs34.0%27.4%0.0%33.3%21.3%#17.3+0.33
2Wiz20.7%14.1%0.0%0.0%26.0%#24.1+0.41
3Checkmarx20.0%15.8%1.3%1.3%38.0%#25.4+0.32
4Snyk17.3%15.3%7.3%6.0%67.3%#32.2+0.36
5Jit11.3%5.0%0.0%0.0%5.3%#17.0+0.34
6Semgrep8.7%8.0%2.7%4.0%35.3%#41.7+0.41
7Veracode7.3%6.8%0.7%6.7%28.0%#34.3+0.37
8Aqua Security5.3%2.3%0.0%0.0%13.3%#29.8+0.36
9SonarSource4.7%2.5%0.0%2.0%2.7%#24.9+0.35
10GitGuardian3.3%2.5%0.7%2.7%7.3%#27.2+0.44
11Socket0.7%0.3%0.0%0.0%6.7%#20.0+0.00
12Chainguard0.0%0.0%0.0%0.0%0.7%

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