# Endor Labs AI visibility in DevSecOps & Application Security

Canonical: https://devtune.ai/verticals/devsecops-application-security/endor-labs

[Website](https://www.endorlabs.com/)

Updated: 2026-10-16T02:51:45.583033+00:00
Prompts: 25
Runs: 6


## Platforms

- google-ai-mode
- perplexity
- chatgpt-search
- google-ai
- bing-copilot-search
- xai-search

Rank: 2
Total brands: 12
Measured responses: 150
Presence percent: 24.666666666666668
Share of voice percent: 16.772823779193207
Average position: 22.924050632911392
Docs presence percent: 0
Blog presence percent: 24.666666666666668
Brand mention percent: 20


## Profile

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.
Product summary: 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 capabilities

- 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)



### Target users

- AppSec engineers and security teams at growth-stage and enterprise software companies
- DevSecOps engineers embedding security in CI/CD workflows
- CISOs and security leaders managing vulnerability backlogs in regulated industries
- Platform engineering teams adopting AI coding assistants
- Compliance and risk officers requiring SBOM, VEX, and audit evidence
- Software engineers and security-minded developer teams with large OSS dependency footprints



### Key use cases

- 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

Integrations ecosystem: Endor Labs integrates with major CI/CD systems (GitHub Actions, GitLab, CircleCI, Jenkins, Bitbucket, Azure Pipelines), AI coding assistants via MCP and native plugins (Cursor, GitHub Copilot/VS Code, Claude, Gemini), security and compliance platforms (Microsoft Defender for Cloud, Vanta), ticketing and alerting tools (Jira, Slack), and IDE plugins. Language support spans Java, Python, Go, JavaScript/TypeScript, .NET/C#, Ruby, Kotlin, Scala, PHP, Swift, Rust, and C/C++. Strategic integrations include a deep partnership with GitHub Advanced Security for end-to-end application security, and a Microsoft Defender for Cloud integration that delivers code-to-runtime reachability within CNAPP workflows.
Pricing summary: 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.
Review summary: 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.
Competitive positioning: 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.
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.


### Source urls

- https://www.endorlabs.com/
- https://techcrunch.com/2025/04/23/endor-labs-which-builds-tools-to-scan-ai-generated-code-for-vulnerabilities-lands-93m/
- https://www.prnewswire.com/news-releases/endor-labs-raises-93m-series-b-to-secure-the-ai-code-revolution-302435409.html
- https://www.g2.com/products/endor-labs/reviews
- https://www.gartner.com/reviews/market/application-security-testing/compare/endor-labs-vs-snyk
- https://www.endorlabs.com/learn/zebra-technologies-cuts-sca-noise-by-97-with-endor-labs
- https://www.endorlabs.com/learn/cursor-develops-a-secure-product-with-endor-labs
- https://www.endorlabs.com/pricing
- https://www.endorlabs.com/customers
- https://www.crunchbase.com/organization/endor-labs

Reviewed at: 2026-04-28T23:07:22.868+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Zebra Technologies | 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. | 97% reduction in non-actionable SCA alerts |
| Five9 | 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. | 76% reduction in SCA alerts; 11,424 development hours returned |
| Cursor (Anysphere) | 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. | 97.5% noise reduction |
| Robinhood | 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. | 95% reduction in findings sent to developers |
| Starburst | 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. | 98.3% noise reduction |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.8 | 5 | 9 | https://www.g2.com/products/endor-labs/reviews |
| Gartner Peer Insights | 4 | 5 | 2 | https://www.gartner.com/reviews/market/application-security-testing/compare/endor-labs-vs-snyk |



### Review themes



#### 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




### Company facts

Founded year: 2021
Hq: Palo Alto, CA, USA


#### Founders

- Varun Badhwar
- Dimitri Stiliadis

Employees range: 100-200
Total funding: ~$163M
Valuation: Not available
Arr: Not available
Customer count: 5M+ applications protected
Status: Private


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| Snyk | 42 | 150 | 28.000000000000004 | 24.479166666666668 |
| Endor Labs | 37 | 150 | 24.666666666666668 | 22.924050632911392 |
| Checkmarx | 31 | 150 | 20.666666666666668 | 21.4875 |
| Wiz | 28 | 150 | 18.666666666666668 | 22.822580645161292 |
| Semgrep | 24 | 150 | 16 | 25.216666666666665 |
| Veracode | 14 | 150 | 9.333333333333334 | 26.181818181818183 |
| Jit | 9 | 150 | 6 | 23.666666666666668 |
| Aqua Security | 7 | 150 | 4.666666666666667 | 32.25 |
| SonarSource | 6 | 150 | 4 | 23.25 |
| Socket | 4 | 150 | 2.666666666666667 | 6.375 |
| GitGuardian | 3 | 150 | 2 | 28.7 |
| Chainguard | 0 | 150 | 0 | Not available |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| google-ai-mode | 6 | 24 |
| perplexity | 1 | 4 |
| chatgpt-search | 2 | 8 |
| google-ai | 6 | 24 |
| bing-copilot-search | 1 | 4 |
| xai-search | 21 | 84 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| I'm rolling out a software composition analysis tool across an engineering org — which platforms have the smoothest onboarding for large teams? | 2 | 2 |
| Which SAST tools have the lowest real-world false positive rates and the best tooling for managing them at scale? | 3 | 2 |
| Which application security platforms are best at communicating vulnerabilities to developers in an actionable way rather than just generating noise? | 2 | 3 |
| What are the best software supply chain security tools for a polyglot monorepo with Node.js, Python, and Go services? | 2 | 3.5 |
| Which security scanning platforms handle availability well so a critical fix can still ship even if the scanning service goes down temporarily? | 1 | 4 |



## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| Which application security tools offer the best IDE-native experience vs. CI-only scanning — and what are the tradeoffs for developer adoption? | 4 |
| Which application security platforms go beyond known CVEs to detect logic-level vulnerabilities and misconfigurations? | 4 |
| What tools cover SAST, DAST, and SCA in one platform — and which do teams use to cover all three vulnerability types without tool sprawl? | 3 |
| What security tooling do teams typically use for managing findings across dozens of repositories from a single security engineer workflow? | 3 |
| Which DevSecOps tools integrate best with SIEM platforms for correlating app security findings with infrastructure events? | 3 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 4 |
| Developer Experience | 5 | 5 |
| Integrations & Ecosystem | 5 | 4 |
| Performance & Reliability | 5 | 5 |
| Setup & First Run | 5 | 3 |



## Prompt results

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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode





##### Perplexity





##### Chatgpt-search





##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| GitGuardian | 28 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: 2
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 2



#### Platform rows



##### Google-ai-mode





##### Perplexity

| Display name | Position |
| --- | --- |
| Endor Labs | 2 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Snyk | 4 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 2 |
| Checkmarx | 12 |
| SonarSource | 27 |
| Wiz | 28 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 4



#### Platform rows



##### Google-ai-mode





##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Semgrep | 4 |
| Snyk | 8 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 4 |
| Wiz | 6 |
| Checkmarx | 7 |
| Aqua Security | 41 |
| Snyk | 65 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 9



#### Platform rows



##### Google-ai-mode





##### Perplexity

| Display name | Position |
| --- | --- |
| Semgrep | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Snyk | 1 |
| Wiz | 6 |
| Semgrep | 8 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Snyk | 2 |
| Semgrep | 7 |
| Endor Labs | 9 |
| Checkmarx | 11 |
| Wiz | 14 |
| Jit | 17 |
| Aqua Security | 36 |


- Prompt text: Which SAST tools integrate into an existing CI pipeline without slowing down developer velocity?


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: 5
Bing-copilot-search: Not available
Xai-search: 10



#### Platform rows



##### Google-ai-mode





##### Perplexity

| Display name | Position |
| --- | --- |
| Semgrep | 1 |
| Snyk | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Semgrep | 1 |
| Snyk | 2 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Endor Labs | 5 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 10 |
| Snyk | 38 |
| Semgrep | 52 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 4



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Checkmarx | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Semgrep | 1 |
| Snyk | 2 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Snyk | 1 |
| Checkmarx | 2 |
| SonarSource | 4 |
| Veracode | 6 |
| Semgrep | 10 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Wiz | 2 |
| Endor Labs | 4 |
| Checkmarx | 6 |
| Snyk | 13 |
| Veracode | 16 |
| Semgrep | 25 |
| SonarSource | 45 |


- Prompt text: What tools cover SAST, DAST, and SCA in one platform — and which do teams use to cover all three vulnerability types without tool sprawl?


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 22



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Veracode | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Checkmarx | 1 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Checkmarx | 3 |
| Snyk | 25 |
| Veracode | 32 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Jit | 4 |
| Checkmarx | 7 |
| Wiz | 15 |
| Endor Labs | 22 |
| Veracode | 49 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 6



#### Platform rows



##### Google-ai-mode





##### Perplexity

| Display name | Position |
| --- | --- |
| Checkmarx | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Semgrep | 1 |
| Snyk | 8 |
| SonarSource | 10 |
| Checkmarx | 12 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 6 |
| Checkmarx | 20 |
| Semgrep | 22 |
| Wiz | 26 |
| Jit | 33 |


- Prompt text: Which runtime application security tools have the lowest production overhead and are safe to run on high-traffic services?


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 53



#### Platform rows



##### Google-ai-mode





##### Perplexity





##### Chatgpt-search





##### Google-ai





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Wiz | 2 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 53 |
| Snyk | 57 |


- Prompt text: Which DevSecOps platforms have the best two-way integration with ticketing systems for tracking vulnerability remediation end to end?


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 84



#### Platform rows



##### Google-ai-mode





##### Perplexity

| Display name | Position |
| --- | --- |
| Snyk | 1 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Snyk | 4 |
| Wiz | 10 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Veracode | 1 |
| Checkmarx | 4 |
| Wiz | 27 |
| Snyk | 35 |
| Endor Labs | 84 |


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


#### Brand position by platform

Google-ai-mode: 1
Perplexity: Not available
Chatgpt-search: 2
Google-ai: 1
Bing-copilot-search: 5
Xai-search: 1



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Endor Labs | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Semgrep | 1 |
| Snyk | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Semgrep | 1 |
| Endor Labs | 2 |
| Snyk | 7 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Endor Labs | 1 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Endor Labs | 5 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 1 |
| Checkmarx | 9 |
| Snyk | 29 |
| Wiz | 43 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: 4
Bing-copilot-search: Not available
Xai-search: 4



#### Platform rows



##### Google-ai-mode





##### Perplexity

| Display name | Position |
| --- | --- |
| Semgrep | 1 |
| Checkmarx | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Veracode | 7 |
| Snyk | 13 |
| Checkmarx | 14 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Endor Labs | 4 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 4 |
| Checkmarx | 6 |
| Wiz | 7 |
| Semgrep | 34 |
| Snyk | 89 |


- Prompt text: Which security scanning platforms have the best support for SBOM generation workflows for compliance and audit requirements?


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: 5
Bing-copilot-search: Not available
Xai-search: 16



#### Platform rows



##### Google-ai-mode





##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Snyk | 18 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Endor Labs | 5 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Wiz | 2 |
| Endor Labs | 16 |
| Checkmarx | 19 |
| Jit | 21 |
| Aqua Security | 24 |


- Prompt text: What cloud security posture management tools integrate well with container and orchestration platform security scanning?


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode





##### Perplexity





##### Chatgpt-search





##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Wiz | 8 |
| Checkmarx | 9 |
| Jit | 19 |
| Aqua Security | 49 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 13



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Snyk | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Snyk | 4 |
| Semgrep | 6 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Checkmarx | 2 |
| Snyk | 13 |
| Veracode | 14 |
| Semgrep | 29 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| SonarSource | 7 |
| Endor Labs | 13 |
| Wiz | 31 |
| Veracode | 33 |
| Snyk | 43 |


- Prompt text: Which security vendors update their vulnerability databases fastest after major CVE disclosures like Log4Shell?


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 21



#### Platform rows



##### Google-ai-mode





##### Perplexity





##### Chatgpt-search





##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Wiz | 10 |
| Endor Labs | 21 |
| Checkmarx | 45 |
| Snyk | 60 |


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


#### Brand position by platform

Google-ai-mode: 1
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 11



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Endor Labs | 1 |
| Socket | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Socket | 1 |
| Snyk | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Socket | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Checkmarx | 1 |
| Snyk | 6 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Checkmarx | 2 |
| Veracode | 5 |
| Snyk | 9 |
| Endor Labs | 11 |
| Socket | 20 |


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


#### Brand position by platform

Google-ai-mode: 4
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 39



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Wiz | 3 |
| Endor Labs | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Snyk | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Snyk | 3 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Semgrep | 3 |
| Wiz | 23 |
| Endor Labs | 39 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: 4
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 2



#### Platform rows



##### Google-ai-mode





##### Perplexity

| Display name | Position |
| --- | --- |
| Semgrep | 1 |
| Snyk | 2 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Snyk | 2 |
| Endor Labs | 4 |
| Semgrep | 12 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 2 |
| Wiz | 7 |
| Veracode | 14 |
| Checkmarx | 18 |
| Snyk | 35 |
| Semgrep | 62 |


- Prompt text: What are the best container image scanning tools that catch vulnerabilities before images are pushed to production?


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode





##### Perplexity

| Display name | Position |
| --- | --- |
| Aqua Security | 1 |
| Snyk | 3 |



##### Chatgpt-search





##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Aqua Security | 3 |
| Wiz | 4 |
| Jit | 11 |
| Checkmarx | 12 |


- Prompt text: Which application security platforms go beyond known CVEs to detect logic-level vulnerabilities and misconfigurations?


#### Brand position by platform

Google-ai-mode: 4
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 61



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Wiz | 1 |
| Endor Labs | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Checkmarx | 3 |



##### Chatgpt-search





##### Google-ai

| Display name | Position |
| --- | --- |
| Snyk | 3 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Wiz | 3 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Wiz | 21 |
| Endor Labs | 61 |


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


#### Brand position by platform

Google-ai-mode: 1
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 6



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Endor Labs | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Snyk | 4 |



##### Chatgpt-search





##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 6 |
| Wiz | 8 |
| Jit | 14 |
| Snyk | 39 |
| Aqua Security | 67 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode





##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| GitGuardian | 6 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| GitGuardian | 4 |
| Jit | 5 |
| Checkmarx | 20 |


- Prompt text: Which DevSecOps tools integrate best with SIEM platforms for correlating app security findings with infrastructure events?


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: 5
Bing-copilot-search: Not available
Xai-search: 34



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Wiz | 1 |
| Veracode | 2 |



##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Wiz | 2 |
| Snyk | 20 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Endor Labs | 5 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Checkmarx | 2 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Checkmarx | 24 |
| Endor Labs | 34 |
| Wiz | 47 |
| Jit | 54 |
| Snyk | 57 |


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


#### Brand position by platform

Google-ai-mode: 3
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: 2
Bing-copilot-search: Not available
Xai-search: 1



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Endor Labs | 3 |



##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Semgrep | 3 |
| Veracode | 5 |
| Checkmarx | 7 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Endor Labs | 2 |
| Wiz | 4 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 1 |
| Checkmarx | 26 |
| SonarSource | 29 |
| Veracode | 36 |
| Semgrep | 47 |





## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://www.endorlabs.com/learn/best-sast-tools | 9 Best SAST Tools in 2026: Accuracy, Speed, and Noise Compared \| Blog \| Endor Labs | endorlabs.com | Not available | commercial | listicle | 21 | 21 |
| https://www.endorlabs.com/learn/best-devsecops-for-appsec | Best Application Security Tools for DevSecOps in 2026 \| Endor Labs | endorlabs.com | Not available | commercial | article | 17 | 17 |
| https://www.endorlabs.com/ | Top 8 Application Security Platforms: Ranked for 2026 \| Blog | endorlabs.com | Not available | commercial | blog_post | 9 | 9 |
| https://www.endorlabs.com/learn/malicious-package-detection | Malicious Package Detection: Beyond CVEs and Scanners \| Blog | endorlabs.com | Not available | commercial | product_page | 8 | 8 |
| https://www.endorlabs.com/learn/best-application-security-platforms | Top 8 Application Security Platforms: Ranked for 2026 \| Endor Labs | endorlabs.com | Not available | commercial | blog_post | 7 | 7 |
| https://www.endorlabs.com/learn/best-code-security-tools | Best Code Security Platforms in 2026, Compared \| Blog \| Endor Labs | endorlabs.com | Not available | commercial | listicle | 6 | 6 |
| https://www.endorlabs.com/learn/best-sbom-tools-in-2026-compared | Best SBOM Tools in 2026, Compared \| Blog - Endor Labs | endorlabs.com | Not available | commercial | blog_post | 5 | 5 |
| https://www.endorlabs.com/learn/best-sca-solutions | Best SCA Solutions for 2026: Reachability-Driven Analysis \| Endor Labs | endorlabs.com | Not available | commercial | blog_post | 4 | 4 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| Which SAST tools integrate into an existing CI pipeline without slowing down developer velocity? | google-ai | Endor Labs * Why it doesn't slow down velocity: Endor Labs focuses heavily on reducing noise through reachability analysis (proving whether a vulnerability is actually exploitable in your specific code path), which cuts down false positives by up to 95%. |
| Which application security scanning tools are fastest at scale and least likely to slow down PR pipelines as the codebase grows? | google-ai | Endor Labs or Snyk Open Source (Best for SCA at Scale) * Why it’s fast: Software Composition Analysis (SCA) often bogs down pipelines when tools deeply unpack entire transitive dependency trees from scratch on every commit. |
| Which DevSecOps tools integrate best with SIEM platforms for correlating app security findings with infrastructure events? | google-ai | Endor Labs |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| google-ai-mode | Checkmarx | Snyk, Semgrep, and GitHub Advanced Security (GHAS) offer the leading IDE-native security experiences, whereas legacy platforms like Veracode, Checkmarx (traditional configuration), and Fortify lean heavily on CI-only or delayed pipeline scanning. |
| perplexity | Semgrep | ## Short answer For security findings while code is being written, Semgrep and Snyk are the clearest IDE-first choices in the search results. |
| perplexity | Snyk | ## Short answer For security findings while code is being written, Semgrep and Snyk are the clearest IDE-first choices in the search results. |
| chatgpt-search | Snyk | ## 1. Snyk — strongest all-around developer-first option IDE-first Best for teams that want security checks close to the code, with actionable remediation guidance and minimal workflow disruption. |
| chatgpt-search | Checkmarx | Explore: Semgrep ## 3. Checkmarx One — broad AppSec with IDE integration Platform-oriented Best for organizations that need a broader security platform but still want developers to work from their IDE. |
| google-ai-mode | Wiz | wiz.io/academy/application-security/business-logic-vulnerabilities)How to Detect Business Logic Vulnerabilities in API \| APIsec[AI Application Security (AI AppSec) \| ZeroPa... |
| perplexity | Checkmarx | Checkmarx DAST — tests running applications for business-logic flaws, authentication bypasses, API issues, and misconfigurations. |
| google-ai | Snyk | Snyk * Examples: _Wiz_ , _Prisma Cloud (Palo Alto Networks)_ , _Veracode (Dynamic/Interactive)_ , _Invicti_ . * How they go beyond CVEs: They evaluate the entire runtime ecosystem—scanning for overly permissive identity access managem... |
| bing-copilot-search | Wiz | Application Detection & Response (ADR) * AccuKnox ADR, Contrast Security ADR, Wiz ADR – Monitor applications at runtime with eBPF sensors and anomaly detection. |
| google-ai-mode | Veracode | Checkmarx One: 7 Features, Limitations & Alternatives * Veracode — Veracode's unified platform natively integrates Veracode Static Analysis (SAST), Veracode Software Composition Analysis (SCA), and Veracode Dynamic Analysis (DAST). |
| perplexity | Checkmarx | Checkmarx One explicitly includes all three, alongside capabilities such as API, IaC, container, and supply-chain security. |
| chatgpt-search | Checkmarx | # Best platforms for SAST, DAST, and SCA in one solution If your goal is to cover SAST, DAST, and SCA without creating a sprawling security toolchain, start by evaluating Checkmarx One, Veracode, HCL AppScan, and GitLab Ultimate. |



## Trend

Visibility delta: -4.199999999999999
Avg position delta: 3.936774193548387
Citation count delta: 6