# Checkmarx AI visibility in DevSecOps & Application Security

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

[Website](https://checkmarx.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: 3
Total brands: 12
Measured responses: 150
Presence percent: 20.666666666666668
Share of voice percent: 16.985138004246284
Average position: 21.4875
Docs presence percent: 6.666666666666667
Blog presence percent: 1.3333333333333335
Brand mention percent: 32


## Profile

Overview: Checkmarx is an enterprise application security testing (AST) company founded in 2006 and headquartered in Paramus, NJ. Its flagship product, Checkmarx One, is a unified, cloud-native platform integrating SAST, SCA, DAST, API security, IaC scanning, container security, secrets detection, and Application Security Posture Management (ASPM) under a single interface. An agentic AI layer — the Assist family (Developer, Triage, Remediation Assist) — embeds AI-guided vulnerability prevention and auto-remediation directly into developer IDEs and CI/CD workflows. The platform scans over 800 billion lines of code monthly and supports 75+ programming languages. Acquired by Hellman & Friedman in 2020 for $1.15 billion, Checkmarx One surpassed $150M ARR in October 2025. The company serves more than 1,800 enterprise customers globally, including 40% of Fortune 100 companies, and has been named a Gartner Magic Quadrant Leader for AST seven consecutive times.
Product summary: Checkmarx One is a unified, agentic application security platform covering the full software development lifecycle — from static and dynamic code scanning to software composition analysis, infrastructure-as-code, container, API, and AI supply chain security — with ASPM for correlated risk prioritization and an AI-powered Assist family that delivers in-IDE vulnerability prevention and auto-remediation.


### Key capabilities

- SAST: static application security testing across 75+ languages and 100+ frameworks
- SCA: open-source vulnerability, license risk, and malicious package detection
- DAST: dynamic application security testing for running applications
- API security scanning for enterprise-scale API vulnerability detection
- IaC security: scanning Terraform, CloudFormation, Kubernetes manifests for misconfigurations
- Container security: SDLC-wide scanning from code to cloud runtime
- ASPM: correlated, risk-prioritized application security posture management
- Agentic AI Assist family: Developer Assist, Triage Assist, and Remediation Assist for in-IDE guidance and auto-fix
- AI Supply Chain Security: visibility and governance over AI/LLM components, MCP servers, and AI-BOMs
- Secrets detection and repository health monitoring



### Target users

- Enterprise AppSec teams and security engineers
- CISOs and security leaders at large organizations
- DevSecOps engineers integrating security into CI/CD pipelines
- Application developers seeking in-IDE security guidance
- Compliance and risk management teams in regulated industries (financial services, healthcare, government)
- Software development managers at Fortune 500 and large enterprises



### Key use cases

- Shifting security left into developer IDEs and CI/CD pipelines
- Consolidating multiple AppSec point tools into a single enterprise platform
- Meeting compliance requirements (PCI DSS, HIPAA, FISMA, FedRAMP) with built-in presets
- Securing AI-generated and AI-assisted code at scale
- Software supply chain risk management and malicious package detection
- Reducing vulnerability backlog and mean time to remediation (MTTR) with AI-guided fixes
- Enterprise AppSec program governance with ASPM and risk-based prioritization
- Securing containerized and cloud-native applications from code to runtime

Integrations ecosystem: Checkmarx One offers broad SDLC integrations: SCM platforms (GitHub, GitLab, Bitbucket, Azure DevOps); CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps Pipelines, CircleCI, Bamboo, TeamCity, AWS CodeBuild, Maven, Bitbucket Pipelines); IDEs (VS Code, Visual Studio, Eclipse, IntelliJ, JetBrains, Cursor, Windsurf); ticketing and feedback (Jira, Slack, Microsoft Teams, GitHub Issues, GitLab Issue Board); container registries (Docker Hub, AWS ECR, JFrog Artifactory, Red Hat Quay, Azure Container Registry). SecOps platform partnerships include Wiz, CrowdStrike, Sysdig, and Uptycs for runtime context. Free open-source tools include KICS (IaC scanner, 2.6K+ GitHub stars), 2MS (secrets scanner), and ZAP (DAST). The platform supports 75+ languages, 100+ frameworks, and 75+ technologies.
Pricing summary: Checkmarx does not publish list pricing publicly; all contracts are quote-based. Third-party estimates indicate starting costs of approximately $59,000 per year for entry-level deployments, scaling to approximately $500,000 or more per year for organizations with ~250 developers. Pricing is modular (SAST, SCA, IaC, DAST, API Security, ASPM sold individually or bundled) and varies by deployment model (SaaS via Checkmarx One or on-premises), developer seat count, and scan volume. Multi-year commitments and competitive pressure commonly yield 20–40% discounts below list. Some free open-source tools (KICS, ZAP, 2MS) are available separately.
Review summary: Checkmarx consistently earns strong enterprise ratings, recognized as a Gartner Peer Insights Customers' Choice for AST for six consecutive years (2019–2024) with an overall 4.7/5 score and 92% recommendation rate. Reviewers praise its comprehensive feature coverage, broad language support, CI/CD integration quality, and responsive customer support. Common criticisms include high false positive rates (especially for niche languages), slow scan times on large codebases, UI complexity, and high licensing costs. Gartner Peer Insights shows 4.6/5 across 453+ verified reviews; PeerSpot rates Checkmarx One 7.8/10, noting it as the #2 ranked AST solution on their platform.
Competitive positioning: Checkmarx positions itself as the enterprise-grade leader in agentic application security testing, competing primarily on breadth of coverage (SAST, SCA, DAST, IaC, API, ASPM, secrets, container, supply chain), depth of AI-powered remediation via its Assist family of agents, and sustained analyst recognition (Gartner MQ Leader 7 consecutive years, Forrester SAST Wave Leader, IDC ASPM Leader). It targets large enterprises with complex multi-language, multi-pipeline environments where consolidation, compliance, and scale matter more than low cost or developer self-service ease. Its primary differentiators versus Snyk and Semgrep are enterprise governance and unified ASPM context; versus Veracode it claims broader language coverage, stronger developer workflow integration, and more aggressive AI-native roadmap; versus SonarSource it offers richer supply chain and cloud scanning coverage. H&F's ongoing exit process (targeting $2.5B+ as of late 2024) may introduce commercial uncertainty.
Limitations: Pricing is enterprise-only and quote-based, with reported starting costs around $59,000/year and significant cost increases at scale (reported ~$500K/year for ~250 developers); commonly cited as expensive relative to alternatives. Reviewers on G2, Gartner Peer Insights, and PeerSpot note high false positive rates, particularly for less common languages (e.g., Kotlin). SAST scan speeds can be slow for large monorepos (reported 30–50 minutes). Some users flag UI/UX complexity and dashboard usability as weaknesses. Limited deep support for newer language frameworks such as Rust and certain serverless architectures noted by reviewers. A March 2026 supply-chain incident compromised two Checkmarx-maintained GitHub Actions, exposing CI/CD credential risk.


### Source urls

- https://checkmarx.com/
- https://checkmarx.com/why-checkmarx/integrations/
- https://checkmarx.com/resources/best-buy/
- https://checkmarx.com/press-releases/checkmarx-named-a-leader-in-the-2025-gartner-magic-quadrant/
- https://checkmarx.com/press-releases/checkmarx-is-a-customers-choice-in-gartner-peer-insights-for-application-security-testing-for-sixth-consecutive-year/
- https://finance.yahoo.com/news/checkmarx-one-surpasses-150m-arr-230000874.html
- https://www.businesswire.com/news/home/20251014963115/en/Checkmarx-One-Surpasses-$150M-ARR-and-Expands-Global-Leadership-in-AI-Powered-Application-Security
- https://en.wikipedia.org/wiki/Checkmarx
- https://www.gartner.com/reviews/market/application-security-testing/vendor/checkmarx
- https://www.gartner.com/reviews/market/application-security-testing/compare/checkmarx-vs-opentext
- https://www.crunchbase.com/organization/checkmarx
- https://tracxn.com/d/companies/checkmarx/__MHDjVUDt9Vyz6UxW85ZoYns2JUqpLePGzwUubQdKg1I
- https://www.vendr.com/marketplace/checkmarx
- https://www.peerspot.com/products/checkmarx-one-reviews
- https://github.com/checkmarx

Reviewed at: 2026-04-28T23:07:20.952+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Best Buy | Adopted Checkmarx One to secure a massive retail tech environment with 3,000+ engineers, 8,000 repositories, and thousands of microservices across SAST, SCA, and CI/CD pipelines. Engineers can now release software at speed without compromising security. | 80% reduction in false positives; 27,000 scans/month securing 2.1B lines of code |
| Cebu Pacific | Deployed Checkmarx One to improve vulnerability management across their application portfolio, achieving significant reduction in overall vulnerability density within months of adoption. | 90% reduction in vulnerabilities in a few months |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| Gartner Peer Insights | 4.6 | 5 | 453 | https://www.gartner.com/reviews/market/application-security-testing/vendor/checkmarx |



### Review themes



#### Praised

- Comprehensive SAST, SCA, and IaC coverage in one platform
- Strong CI/CD pipeline integration
- Broad language and framework support
- Responsive and knowledgeable customer support
- Effective risk prioritization via ASPM
- Scalability for large enterprise environments
- Good price-performance ratio for enterprise buyers
- Customizable scan queries and policies



#### Criticized

- High number of false positives, especially for less common languages
- Slow SAST scan times on large or monorepo codebases
- Complex and non-intuitive UI/UX
- High licensing costs, especially at scale
- Reporting can be slow and complex to configure
- Limited deep support for newer frameworks (Rust, Go, serverless)
- Pipeline integration errors can be difficult to diagnose
- Additional modules require separate licensing fees




### Company facts

Founded year: 2006
Hq: Paramus, NJ, USA


#### Founders

- Maty Siman
- Emmanuel Benzaquen

Employees range: 900-1000
Total funding: ~$84M-$98.5M (pre-acquisition VC); acqui
Valuation: $2.5B+ (H&F sale target, 2024)
Arr: >$150M
Customer count: 1,800+ total; 860+ on Checkmarx One ente
Status: Private (PE-backed by Hellman & Friedman)


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 | 1 | 4 |
| perplexity | 4 | 16 |
| chatgpt-search | 6 | 24 |
| google-ai | 1 | 4 |
| bing-copilot-search | 1 | 4 |
| xai-search | 18 | 72 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| Which software supply chain security tools detect malicious packages, not just known vulnerable versions? | 2 | 1.5 |
| Which application security tools integrate natively into the pull request workflow so findings can block or warn on merges? | 1 | 2 |
| Which application security platforms go beyond known CVEs to detect logic-level vulnerabilities and misconfigurations? | 1 | 3 |
| 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 | 3.6666666666666665 |



## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| Which security scanning tools are best at reducing noise so developers actually act on alerts instead of ignoring them? | 5 |
| Which SAST tools have the lowest real-world false positive rates and the best tooling for managing them at scale? | 4 |
| What security tooling do teams typically use for managing findings across dozens of repositories from a single security engineer workflow? | 3 |
| Which application security platforms are best at communicating vulnerabilities to developers in an actionable way rather than just generating noise? | 3 |
| I'm rolling out a software composition analysis tool across an engineering org — which platforms have the smoothest onboarding for large teams? | 2 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 5 |
| Developer Experience | 5 | 4 |
| Integrations & Ecosystem | 5 | 5 |
| Performance & Reliability | 5 | 4 |
| Setup & First Run | 5 | 2 |



## 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: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 12



#### 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: 7



#### 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: 11



#### 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: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### 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: 1
Perplexity: Not available
Chatgpt-search: 2
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 6



#### 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: 1
Chatgpt-search: 3
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 7



#### 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: 4
Chatgpt-search: 12
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 20



#### 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: Not available



#### 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: 4



#### 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: 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

| 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: 4
Chatgpt-search: 14
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 6



#### 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: Not available
Bing-copilot-search: Not available
Xai-search: 19



#### 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: 9



#### 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: 2
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### 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: 45



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



#### 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: 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

| 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: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 18



#### 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: 12



#### 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: Not available
Perplexity: 3
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### 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: 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

| 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: 20



#### 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: Not available
Bing-copilot-search: 2
Xai-search: 24



#### 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: Not available
Perplexity: Not available
Chatgpt-search: 7
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 26



#### 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://checkmarx.com/product/malicious-packages/ | Malicious Software Packages Protection - Checkmarx | checkmarx.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b67f9606-50e9-4f35-942d-4f43a200da2c/907221abae380397226f213cea975d3763c6b6a8.png | commercial | article | 5 | 5 |
| https://checkmarx.com/ | Agentic Application Security Testing Software Platform \| Checkmarx | checkmarx.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b67f9606-50e9-4f35-942d-4f43a200da2c/907221abae380397226f213cea975d3763c6b6a8.png | commercial | article | 5 | 5 |
| https://checkmarx.com/learn/appsec/14-code-security-tools-to-know-in-2026/ | 14 Code Security Tools to Know in 2026 | checkmarx.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b67f9606-50e9-4f35-942d-4f43a200da2c/907221abae380397226f213cea975d3763c6b6a8.png | commercial | listicle | 4 | 4 |
| https://checkmarx.com/learn/devsecops/top-18-devsecops-tools-for-the-ai-era-securing-the-sdlc-in-2026/ | Top 18 DevSecOps Tools for the AI Era: Securing the SDLC in 2026 | checkmarx.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b67f9606-50e9-4f35-942d-4f43a200da2c/907221abae380397226f213cea975d3763c6b6a8.png | commercial | article | 4 | 4 |
| https://checkmarx.com/checkmarx-dast/ | DAST - Checkmarx | checkmarx.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b67f9606-50e9-4f35-942d-4f43a200da2c/907221abae380397226f213cea975d3763c6b6a8.png | commercial | listicle | 3 | 3 |
| https://docs.checkmarx.com/en/34965-691561-code-repository-integration-usage---results.html | Code Repository Integration Usage & Results | docs.checkmarx.com | Not available | commercial | documentation | 3 | 3 |
| https://checkmarx.com/learn/ai-security/best-ai-security-testing-platforms-top-10-in-2026/ | Best AI Security Testing Platforms: Top 10 in 2026 | checkmarx.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b67f9606-50e9-4f35-942d-4f43a200da2c/907221abae380397226f213cea975d3763c6b6a8.png | commercial | article | 3 | 3 |
| https://checkmarx.com/github/ | Github Security Scanner Alternative | checkmarx.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b67f9606-50e9-4f35-942d-4f43a200da2c/907221abae380397226f213cea975d3763c6b6a8.png | commercial | article | 2 | 2 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| What tools cover SAST, DAST, and SCA in one platform — and which do teams use to cover all three vulnerability types without tool sprawl? | perplexity | Checkmarx One explicitly includes all three, alongside capabilities such as API, IaC, container, and supply-chain security. |
| Which application security scanning tools are fastest at scale and least likely to slow down PR pipelines as the codebase grows? | perplexity | Checkmarx can fit larger-codebase workflows if you enable incremental scanning or Fast Scan. |
| Which enterprise application security platforms scale best when scanning thousands of repositories across multiple teams? | perplexity | For thousands of repositories across multiple teams, the strongest fits from the available evidence are Semgrep, Checkmarx One, and—if your organization is standardized on GitHub—GitHub Advanced Security. |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| google-ai-mode | Endor Labs | 9 Best SAST Tools in 2026: Accuracy, Speed, and Noise Compared \| Blog \| Endor Labs[Noisy security scanners make apps less secure - Reddit](https://www.reddit.com/r/VibeCodersNest/comments/1rbf05f/noisy_... |
| perplexity | Semgrep | For first-party code, I’d shortlist Semgrep; for dependency vulnerabilities, Snyk. |
| chatgpt-search | Semgrep | ## 1. Semgrep Best for low-noise code scanning Semgrep combines static application security testing (SAST), dependency scanning, and secrets detection. |
| chatgpt-search | Endor Labs | Semgrep website ## 2. Endor Labs Best for dependency alert noise Its standout capability is function-level dependency reachability: determining whether an application can actually execute vulnerable code in a dependency. |
| google-ai | Endor Labs | Endor Labs: Highly effective at cutting dependency noise (by up to 90%+) by mapping deep function-level call graphs. |
| google-ai-mode | Endor Labs | ...](https://www.pixee.ai/blog/best-sast-tools-2026)9 Best SAST Tools in 2026: Accuracy, Speed, and Noise Compared \| Blog \| Endor Labs To achieve low real-world false-positive rates and manage alerts effec... |
| chatgpt-search | Semgrep | ...ities are low false-positive rates, low developer triage burden, and the ability to manage findings across hundreds of repositories, I would shortlist Checkmarx One, Fortify Static Code Analyzer, Veracode Static Analysis, Semgrep Code, and GitHub CodeQL. |
| google-ai | Endor Labs | GitHub Advanced Security / CodeQL: * False Positive Profile: Low . Endor Labs * Why it works: CodeQL treats code as data, executing deep data-flow and taint-analysis queries across the entire repository. |
| google-ai-mode | Wiz | * ASPM & Code-to-Cloud Platforms: Tools like Wiz, Cycode, or Endor Labs connect directly to code hosting providers to correlate repository vulnerabilities with actual deployment context, dramatically cutting down alert noise. |
| chatgpt-search | Snyk | Snyk — dependency vulnerabilities, code analysis, container security, and integrations with source control and CI/CD. |
| perplexity | Semgrep | The strongest candidates are Semgrep and Snyk—but “best” depends on what you scan and how your developers work. |
| perplexity | Snyk | The strongest candidates are Semgrep and Snyk—but “best” depends on what you scan and how your developers work. |



## Trend

Visibility delta: -1.5999999999999996
Avg position delta: 2.770833333333333
Citation count delta: 14