AI visibility report for Checkmarx
Vertical: DevSecOps & Application Security
AI search visibility benchmark across 5 platforms in DevSecOps & Application Security.
Presence Rate
Top-3 citations across 125 prompt × platform pairs
Sentiment
Peer Ranking
Key Metrics
Platform Breakdown
Grok
Google AI Mode
Perplexity
Gemini Search
ChatGPTOverview
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.
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 Facts
- Founded
- 2006
- HQ
- Paramus, NJ, USA
- Founders
- Maty Siman, Emmanuel Benzaquen
- Employees
- 900-1000
- Funding
- ~$84M-$98.5M (pre-acquisition VC); acqui
- ARR
- >$150M
- Customers
- 1,800+ total; 860+ on Checkmarx One ente
- Valuation
- $2.5B+ (H&F sale target, 2024)
- Status
- Private (PE-backed by Hellman & Friedman)
Target users
Key Capabilities10
- 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
Key Use Cases8
- 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
Checkmarx customer outcomes
80% reduction in false positives; 27,000 scans/month securing 2.1B lines of code
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.
90% reduction in vulnerabilities in a few months
Deployed Checkmarx One to improve vulnerability management across their application portfolio, achieving significant reduction in overall vulnerability density within months of adoption.
Recent Trend
How AI describes Checkmarx3
checkmarx * Tradeoffs of CI/CD security scanning including pipeline impact and adoption challenges.
Which application security tools offer the best IDE-native experience vs. CI-only scanning — and what are the tradeoffs for developer adoption?
Veracode and Checkmarx are two widely referenced options that market integrated SAST, DAST, and SCA capabilities; some other platforms position themselves as all-in-one AppSec platforms or emphasize strong integration to minimize overhead.
What tools cover SAST, DAST, and SCA in one platform — and which do teams use to cover all three vulnerability types without tool sprawl?
In practice, leading options include Veracode, Checkmarx One, Synopsys Polaris/fAST offerings, and Invicti for dynamic scanning at scale, with governance and multi-team onboarding features that support enterprise-wide adoption.
Which enterprise application security platforms scale best when scanning thousands of repositories across multiple teams?
Most cited sources8
- C17
Best ASPM Tools: 5 Platforms to Watch in 2026
checkmarx.com·Article
- C14
Unified Agentic AppSec Testing, Monitoring & Remediation Platform | Checkmarx
checkmarx.com·Listicle
- C10
Developer-Centric AppSec Tools: What to Look For
checkmarx.com·Article
- C10
SCA Vs SAST Vs DAST – Which Is Right For The Organization?
checkmarx.com·Listicle
- C8
Top 18 DevSecOps Tools for the AI Era: Securing the SDLC in 2026
checkmarx.com·Listicle
- C7
How To Incorporate SAST, DAST, And SCA Into The SDLC
checkmarx.com·Listicle
Alternatives in DevSecOps & Application Security6
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.
Reviews
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
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.
Pricing
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.
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.
Frequently asked questions
Topic Coverage
Prompt-Level Results
| Prompt | Gemini Search | Perplexity | ChatGPT | Google AI Mode | Grok |
|---|---|---|---|---|---|
Capability5/5 cited (100%) | |||||
Which SAST tools have the lowest real-world false positive rates and the best tooling for managing them at scale? | |||||
What tools cover SAST, DAST, and SCA in one platform — and which do teams use to cover all three vulnerability types without tool sprawl? | |||||
Which secret scanning tools are best at both detecting credentials in git history and preventing new secrets from being committed? | |||||
Which application security platforms go beyond known CVEs to detect logic-level vulnerabilities and misconfigurations? | |||||
Which software supply chain security tools detect malicious packages, not just known vulnerable versions? | |||||
Developer Experience5/5 cited (100%) | |||||
Which DevSecOps platforms handle vulnerability prioritisation well when there are hundreds of findings across multiple repositories? | |||||
Which security scanning tools are best at reducing noise so developers actually act on alerts instead of ignoring them? | |||||
Which application security tools offer the best IDE-native experience vs. CI-only scanning — and what are the tradeoffs for developer adoption? | |||||
What security tooling do teams typically use for managing findings across dozens of repositories from a single security engineer workflow? | |||||
Which application security platforms are best at communicating vulnerabilities to developers in an actionable way rather than just generating noise? | |||||
Integrations & Ecosystem4/5 cited (80%) | |||||
Which application security tools integrate natively into the pull request workflow so findings can block or warn on merges? | |||||
Which DevSecOps tools integrate best with SIEM platforms for correlating app security findings with infrastructure events? | |||||
Which DevSecOps platforms have the best two-way integration with ticketing systems for tracking vulnerability remediation end to end? | |||||
Which security scanning platforms have the best support for SBOM generation workflows for compliance and audit requirements? | |||||
What cloud security posture management tools integrate well with container and orchestration platform security scanning? | |||||
Performance & Reliability4/5 cited (80%) | |||||
Which security vendors update their vulnerability databases fastest after major CVE disclosures like Log4Shell? | |||||
Which security scanning platforms handle availability well so a critical fix can still ship even if the scanning service goes down temporarily? | |||||
Which runtime application security tools have the lowest production overhead and are safe to run on high-traffic services? | |||||
Which application security scanning tools are fastest at scale and least likely to slow down PR pipelines as the codebase grows? | |||||
Which enterprise application security platforms scale best when scanning thousands of repositories across multiple teams? | |||||
Setup & First Run3/5 cited (60%) | |||||
What secrets management tools are best for a small startup team to ensure developers never commit credentials to the repo? | |||||
I'm rolling out a software composition analysis tool across an engineering org — which platforms have the smoothest onboarding for large teams? | |||||
Which SAST tools integrate into an existing CI pipeline without slowing down developer velocity? | |||||
What are the best software supply chain security tools for a polyglot monorepo with Node.js, Python, and Go services? | |||||
What are the best container image scanning tools that catch vulnerabilities before images are pushed to production? | |||||
Strengths2
What security tooling do teams typically use for managing findings across dozens of repositories from a single security engineer workflow?
Avg # 3.0 · 2 platforms
Which application security platforms go beyond known CVEs to detect logic-level vulnerabilities and misconfigurations?
Avg # 7.0 · 1 platform
Gaps5
Which application security platforms are best at communicating vulnerabilities to developers in an actionable way rather than just generating noise?
Competitors on 4 platforms
What are the best container image scanning tools that catch vulnerabilities before images are pushed to production?
Competitors on 3 platforms
Which SAST tools have the lowest real-world false positive rates and the best tooling for managing them at scale?
Competitors on 2 platforms
Which DevSecOps tools integrate best with SIEM platforms for correlating app security findings with infrastructure events?
Competitors on 2 platforms
Which security scanning tools are best at reducing noise so developers actually act on alerts instead of ignoring them?
Competitors on 2 platforms
Vertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Endor Labs | 36.0% | 20.8% | 0.0% | 35.2% | 31.2% | #19.6 | +0.28 |
| 2 | Wiz | 32.0% | 16.2% | 0.0% | 0.0% | 29.6% | #20.5 | +0.24 |
| 3 | Checkmarx | 28.0% | 17.3% | 2.4% | 2.4% | 27.2% | #24.0 | +0.28 |
| 4 | Snyk | 24.0% | 15.8% | 5.6% | 9.6% | 22.4% | #31.4 | +0.24 |
| 5 | Jit | 18.4% | 6.3% | 0.0% | 0.0% | 16.0% | #15.5 | +0.21 |
| 6 | Veracode | 12.0% | 8.3% | 1.6% | 6.4% | 12.0% | #27.2 | +0.27 |
| 7 | Semgrep | 10.4% | 7.0% | 3.2% | 4.0% | 9.6% | #45.6 | +0.33 |
| 8 | SonarSource | 6.4% | 2.6% | 0.0% | 0.8% | 6.4% | #24.8 | +0.19 |
| 9 | Aqua Security | 5.6% | 1.8% | 0.0% | 0.0% | 4.8% | #32.8 | +0.23 |
| 10 | GitGuardian | 4.8% | 3.7% | 0.8% | 4.0% | 3.2% | #24.4 | +0.10 |
| 11 | Socket | 0.8% | 0.2% | 0.0% | 0.0% | 0.8% | #20.0 | +0.00 |
| 12 | Chainguard | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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