Checkmarx

Overview

Checkmarx provides an agentic application security testing software platform designed to secure the software development lifecycle (SDLC) in the era of AI-generated code. The platform combines hybrid scanning, AI-powered agents, and unified risk intelligence to address application security challenges across various attack surfaces. It aims to help organizations manage the risks associated with rapid AI-driven development.

Key Features

• Developer Security — Integrates SAST, Secrets Detection, IaC Security, and API Security directly into the IDE and CI/CD pipelines for early vulnerability detection.
• Supply Chain Security — Protects against malicious packages, manages software composition analysis (SCA), and secures containers and repositories.
• Security For AI — Offers AI-BOM (Bill of Materials), model scanning, and agent scanning to govern AI components within applications.
• Runtime Security — Utilizes DAST (Dynamic Application Security Testing) for AI to validate exploitability against running applications and APIs.
• Agentic Control Plane (Checkmarx MCP) — Provides AI-powered security agents, developer assist features, and risk prioritization with automated fixes.
• Unified Risk Intelligence & AI-BOM ASPM — Consolidates risk inputs from code, supply chain, AI components, and runtime for comprehensive application security posture management.
• Hybrid Security Engines — Combines deterministic precision with AI reasoning to enhance detection and remediation capabilities.

Who It's For

Checkmarx is designed for CISOs, AppSec managers, and developers within organizations that are increasingly leveraging AI for code generation and development. It targets enterprises, including over 40% of the Fortune 500, that require scalable and integrated security solutions to manage the complexities and risks introduced by AI-driven SDLCs.

Notable Strengths

Checkmarx demonstrates a strong focus on addressing the security implications of AI-generated code, offering specific features like AI-BOM and security for AI components. The platform emphasizes a high true-positive rate (11% higher) and F1 score (2.5x higher than average SAST tools), indicating effective and accurate vulnerability detection. Its comprehensive approach, covering the entire SDLC from code creation to runtime, provides a unified view of application risk.