About
Checkmarx One is a market-leading, unified agentic application security (AppSec) platform designed for enterprises that need comprehensive, continuous security coverage across their entire software supply chain. The platform combines Static Application Security Testing (SAST), Software Composition Analysis (SCA), Dynamic Application Security Testing (DAST), API Security scanning, Infrastructure as Code (IaC) security, and Container Security under one roof, all orchestrated by AI-driven agents. At the heart of Checkmarx One is its Agentic AI layer — including Developer Assist, an IDE-integrated agent that provides instant vulnerability prevention and fix suggestions as developers write code. The platform's ASPM (Application Security Posture Management) module delivers unified visibility, risk prioritization, and control across the entire AppSec posture, helping security teams focus on exploitable, high-impact vulnerabilities rather than noise. Checkmarx also offers AI Supply Chain Security, enabling organizations to discover, assess, and govern AI components — from LLMs and agent frameworks to MCP servers — across their software supply chain. With scanning of over 800 billion lines of code per month, Checkmarx is trusted by large enterprises and development teams looking to accelerate secure software delivery without sacrificing developer velocity. The platform integrates with leading IDEs, CI/CD pipelines, and cloud environments, making it a natural fit for modern DevSecOps workflows.
Key Features
- Agentic AI – Developer Assist: An IDE-integrated AI agent that provides real-time vulnerability prevention and auto-fix suggestions as developers write code, reducing security debt before it enters the codebase.
- Unified SAST, SCA, DAST & API Security: Combines static, dynamic, open-source, and API security testing in one platform, eliminating tool sprawl and providing a consolidated view of application risk.
- Application Security Posture Management (ASPM): Delivers unified visibility, prioritization, and control across the entire AppSec posture, helping teams focus remediation efforts on the most exploitable, high-impact vulnerabilities.
- AI Supply Chain Security: Discovers, assesses, and governs AI components — including LLMs, agent frameworks, MCP servers, and datasets — across the software supply chain to prevent AI-introduced risk.
- IaC & Container Security: Scans Infrastructure as Code and container configurations throughout the SDLC, catching misconfigurations and vulnerabilities before they reach cloud production environments.
Use Cases
- Enterprise development teams embedding security into CI/CD pipelines to automatically scan code for vulnerabilities before deployment.
- Security teams using ASPM to gain unified visibility across all applications and prioritize the most exploitable vulnerabilities for remediation.
- DevSecOps organizations replacing multiple point security tools (SAST, SCA, DAST) with a single consolidated platform to reduce cost and complexity.
- Companies governing AI-generated and open-source code in their software supply chain, including LLM integrations and third-party AI components.
- Developers using the IDE-integrated Developer Assist agent to receive instant vulnerability detection and fix suggestions while writing code.
Pros
- Comprehensive, all-in-one coverage: Combines SAST, SCA, DAST, API security, IaC, container security, and ASPM in a single platform, reducing the need for multiple point solutions.
- Developer-first AI agents: Agentic AI capabilities embedded directly in the IDE enable developers to catch and fix vulnerabilities in real time, shifting security left without disrupting workflows.
- Enterprise scale and trust: Scans over 800 billion lines of code monthly and is recognized in the Gartner Magic Quadrant and Forrester SAST Wave, providing confidence for large-scale enterprise deployments.
- AI supply chain governance: Unique capability to govern AI components (LLMs, MCP servers, agent frameworks) in the software supply chain, addressing a rapidly growing security risk category.
Cons
- Enterprise pricing complexity: Pricing is not publicly listed and is tailored to enterprise needs, making it less accessible for small teams or individual developers without a sales engagement.
- Onboarding and configuration effort: The breadth of features and enterprise-grade capabilities can mean a steeper initial setup and configuration curve compared to lighter-weight, single-purpose security tools.
- Potential alert volume: Despite AI prioritization, organizations scanning large codebases may still need to invest in tuning and triage workflows to manage findings effectively.
Frequently Asked Questions
What is Checkmarx One?
Checkmarx One is a unified, enterprise-grade application security platform that integrates SAST, SCA, DAST, API Security, IaC Security, Container Security, and ASPM into a single solution, enhanced by agentic AI to autonomously prevent and remediate vulnerabilities from code to cloud.
What is Agentic AppSec and how does Checkmarx use it?
Agentic AppSec refers to AI agents that act autonomously to prevent and remediate security threats. Checkmarx uses agents like Developer Assist (embedded in the IDE) and Triage & Remediation agents to detect vulnerabilities in real time, suggest fixes, and reduce security debt without manual intervention.
Does Checkmarx support AI supply chain security?
Yes. Checkmarx offers AI Supply Chain Security that allows organizations to discover, assess, and govern AI components such as LLMs, agent frameworks, MCP servers, and training datasets across their software supply chain.
Is there a free trial available?
Checkmarx offers a 1-month free trial of Developer Assist, the developer-first AI agent for vulnerability prevention and fix. Broader platform access typically requires a demo and enterprise agreement.
What development environments and pipelines does Checkmarx integrate with?
Checkmarx One integrates with popular IDEs (including VS Code), CI/CD pipelines, cloud platforms, and code repositories, enabling security checks at every stage of the software development lifecycle within existing developer toolchains.
