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Application Security
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Checkmarx One

Checkmarx One is an enterprise application security platform with AI-assisted capabilities for identifying, prioritizing, and remediating vulnerabilities across the software development lifecycle.

Starting at~$150,000–$300,000/year
Visit Checkmarx One →
💡

In Plain English

Checkmarx One is an enterprise application security platform with AI-assisted capabilities for identifying, prioritizing, and remediating vulnerabilities across the software development lifecycle.

OverviewFeaturesPricingUse CasesLimitationsFAQ

Overview

Checkmarx One is an enterprise-grade, cloud-native application security platform that unifies multiple AppSec scanning technologies into a single consolidated solution designed to secure modern software development from code to cloud. Built by Checkmarx, a long-established leader in static application security testing (SAST), the platform combines SAST, software composition analysis (SCA), infrastructure-as-code (IaC) security, API security, container security, supply chain security, and dynamic application security testing (DAST) into one integrated environment. The AI-assisted layer, branded as Checkmarx One Assist, augments these scanning engines with generative AI capabilities that help developers and AppSec teams interpret findings, prioritize risk based on exploitability and business context, and remediate vulnerabilities faster by generating contextual fix suggestions and explanations directly inside the developer's workflow.

The platform is built for enterprise DevSecOps environments where thousands of repositories, hundreds of applications, and large, distributed engineering teams must be secured without slowing delivery velocity. Checkmarx One integrates natively with source code management systems like GitHub, GitLab, Bitbucket, and Azure Repos, with popular CI/CD pipelines such as Jenkins, GitHub Actions, Azure DevOps, and CircleCI, and with developer IDEs including Visual Studio Code, IntelliJ, Eclipse, and Visual Studio. Findings flow into ticketing and collaboration systems like Jira, ServiceNow, and Microsoft Teams so security issues can be triaged and assigned within existing engineering processes. The AI assistant explains why a given vulnerability matters, traces the data flow that triggered it, and proposes language-specific code fixes that developers can review and apply, reducing the friction that has historically slowed AppSec adoption.

A key differentiator of Checkmarx One is its emphasis on prioritization and correlation. Rather than dumping raw scanner output on developers, the platform correlates findings across SAST, SCA, IaC, and runtime signals to surface the issues that are actually reachable, exploitable, and present in production. Application Risk Management features give CISOs and AppSec leaders a unified view of risk posture across the entire portfolio, with dashboards mapping findings to business applications, compliance frameworks (PCI DSS, HIPAA, SOC 2, OWASP Top 10, CWE Top 25), and policy guardrails. The platform also includes AI-aware capabilities for scanning AI-generated code and detecting risks introduced by tools like GitHub Copilot, addressing a growing concern as organizations adopt AI coding assistants at scale. Checkmarx One is delivered as a SaaS platform and is sold exclusively through enterprise contracts, with pricing tailored to organization size, number of contributing developers, and scanning engines enabled.

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Key Features

AI-Assisted Remediation (Checkmarx One Assist)+

Generative AI explains each finding, summarizes the vulnerable data flow, and proposes a contextual code fix in the developer's language and framework, surfaced inside the IDE and pull request.

Unified Multi-Engine Scanning+

SAST, SCA, IaC, container, API, supply chain, and DAST engines share a single findings model, policy engine, and dashboard, eliminating the need to reconcile output from multiple tools.

Risk-Based Correlation and Prioritization+

The platform correlates findings across engines and signals like reachability, exploitability, and runtime exposure to surface the small subset of issues that actually matter to fix first.

Application Risk Management+

Portfolio-level dashboards aggregate risk by business application, team, compliance framework, and severity, giving AppSec leaders and CISOs a measurable view of program health.

AI Code Governance+

Capabilities specifically targeting code produced by AI coding assistants, scanning generated snippets for insecure patterns and helping organizations set guardrails around AI tool usage.

Deep DevSecOps Integrations+

Native plugins and APIs for GitHub, GitLab, Bitbucket, Azure DevOps, Jenkins, GitHub Actions, Jira, ServiceNow, VS Code, IntelliJ, and more keep security in existing engineering workflows.

Pricing Plans

Plan 1

~$150,000–$300,000/year

    Plan 2

    ~$300,000–$750,000/year

      Plan 3

      ~$750,000–$2,000,000+/year

        See Full Pricing →Free vs Paid →Is it worth it? →

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        Best Use Cases

        🎯

        Large enterprises consolidating multiple legacy AppSec point tools (SAST, SCA, IaC, DAST) into a single unified platform to reduce vendor sprawl and licensing costs

        ⚡

        Regulated industries such as financial services, healthcare, insurance, and government that must demonstrate compliance with PCI DSS, HIPAA, SOC 2, NIST, and OWASP standards across their software portfolio

        🔧

        DevSecOps programs scaling AppSec across hundreds of repositories and thousands of developers where developer-friendly remediation guidance is critical to adoption

        🚀

        Organizations adopting AI coding assistants like GitHub Copilot at scale that need governance and scanning specifically aware of AI-generated code risks

        💡

        Security teams that need cross-engine correlation and risk-based prioritization to cut through scanner noise and focus on exploitable, reachable vulnerabilities

        🔄

        CISOs and AppSec leaders who require portfolio-level dashboards mapping vulnerabilities to business applications, compliance frameworks, and remediation SLAs

        Limitations & What It Can't Do

        We believe in transparent reviews. Here's what Checkmarx One doesn't handle well:

        • ⚠No public pricing, free tier, or self-serve trial — evaluation requires engaging Checkmarx sales and typically a proof-of-concept engagement
        • ⚠Best suited to mid-market and enterprise organizations; overkill in cost and complexity for small teams or open-source projects
        • ⚠Full value depends on tuning policies, integrating across CI/CD, and rolling out IDE plugins to developers, which requires dedicated AppSec ownership
        • ⚠AI-assisted fix suggestions are advisory and require developer review; they do not autonomously commit code changes to production branches
        • ⚠DAST and runtime coverage, while present, are generally less mature than the platform's SAST and SCA capabilities, where Checkmarx has its strongest heritage

        Pros & Cons

        ✓ Pros

        • ✓Consolidates SAST, SCA, IaC, API security, container scanning, and DAST in a single platform, reducing tool sprawl and procurement overhead for enterprise AppSec programs
        • ✓AI-assisted remediation generates contextual, language-specific fix suggestions directly in the IDE and PR workflow, helping developers resolve vulnerabilities without deep security expertise
        • ✓Strong correlation and prioritization engine reduces noise by linking findings across engines and flagging only exploitable, reachable issues rather than overwhelming developers with raw scanner output
        • ✓Deep integration with the developer toolchain — GitHub, GitLab, Bitbucket, Azure DevOps, Jenkins, Jira, VS Code, IntelliJ — keeps security feedback inside existing workflows
        • ✓Backed by Checkmarx's mature SAST engine with broad language coverage (35+ languages and frameworks) and a long track record in regulated industries like finance, healthcare, and government
        • ✓Includes capabilities to scan AI-generated code and govern usage of AI coding assistants, addressing an emerging risk category that newer point tools often miss

        ✗ Cons

        • ✗Enterprise-only pricing with no public tiers, free tier, or self-serve onboarding makes it inaccessible for startups, small teams, and individual developers
        • ✗Initial configuration, policy tuning, and integration into existing CI/CD pipelines can be time-consuming and typically requires professional services or dedicated AppSec engineers
        • ✗Scan times on large monorepos can be lengthy compared to lighter-weight SAST tools, which can create friction in fast-moving CI pipelines if not tuned carefully
        • ✗Despite improved correlation, SAST engines still produce false positives that require triage, and the AI assistant's fix suggestions need human review before being merged
        • ✗User interface and reporting, while comprehensive, can feel dense and overwhelming for first-time users and small teams who don't need the full enterprise feature set

        Frequently Asked Questions

        What is Checkmarx One Assist?+

        Checkmarx One Assist is the AI-powered layer of the Checkmarx One platform. It uses generative AI to explain vulnerabilities in plain language, trace the code paths that introduced them, and suggest contextual remediation code that developers can review and apply directly inside their IDE or pull request workflow.

        Which scanning technologies does Checkmarx One include?+

        The platform consolidates SAST (static analysis), SCA (open-source dependency and license analysis), IaC security (Terraform, Kubernetes, CloudFormation), API security, container image scanning, supply chain security, and DAST. All engines share a unified findings model, dashboards, and policy engine.

        How is Checkmarx One priced?+

        Checkmarx One is sold exclusively through enterprise contracts. Pricing is not published publicly and is typically based on the number of contributing developers, the scanning engines enabled, scan volume, and contract length. Prospective customers must engage with Checkmarx sales for a quote.

        Does Checkmarx One integrate with developer tools and CI/CD pipelines?+

        Yes. It integrates with GitHub, GitLab, Bitbucket, and Azure Repos for source control, with Jenkins, GitHub Actions, Azure DevOps, CircleCI, and other CI systems for pipeline scanning, with VS Code, IntelliJ, Eclipse, and Visual Studio for in-IDE feedback, and with Jira, ServiceNow, and Microsoft Teams for ticketing and notifications.

        Can Checkmarx One scan AI-generated code?+

        Yes. Checkmarx has invested in capabilities to scan code produced by AI assistants like GitHub Copilot and to govern the use of AI coding tools, flagging insecure patterns, license risks in suggested snippets, and other issues that can arise when developers heavily rely on generative AI.
        🦞

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        What's New in 2026

        Through 2025 and into 2026, Checkmarx has continued to invest heavily in the AI-assisted layer of Checkmarx One, expanding Checkmarx One Assist with deeper generative AI-driven remediation guidance, natural-language querying of findings, and improved explanations of vulnerable data flows. The company has also expanded coverage for AI-generated code and governance of AI coding assistants, reflecting growing enterprise concern about insecure code produced by tools like GitHub Copilot. Additional updates include enhanced supply chain and malicious package detection in SCA, broader IaC and Kubernetes policy coverage, and continued improvements to risk-based prioritization that correlates SAST, SCA, and runtime signals to focus developers on truly exploitable issues.

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        Quick Info

        Category

        Application Security

        Website

        checkmarx.com/product/checkmarx-one-assist/
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