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Checkmarx, the leader in agentic application security, today unveiled a new Checkmarx One platform built for the new era in AI development, embedding agentic AI-driven security across code, open-source dependencies, AI assets, and runtime.
Checkmarx unveils new Checkmarx One platform designed for agentic development and AI-accelerated software creation.
Platform introduces agentic security agents and AI-native intelligence across software and AI supply chain.
Key innovations include Triage Assist autonomous AI agent for vulnerability prioritization based on real-world exploitability.
Remediation Assist generates review-ready fixes for validated vulnerabilities before code merges.
AI Supply Chain Security provides centralized governance for AI components including models, agents, datasets, and prompts.
New capabilities available in Checkmarx One Enterprise Edition or as add-ons to Essentials and Professional Editions.
As AI accelerates software creation beyond human speed and scale, traditional application security models are fundamentally misaligned. The new platform embeds agentic, AI-driven security across code, open-source dependencies, AI assets, and runtime, enabling organizations to innovate at machine speed with security built in from the start.
At the core of the reimagined Checkmarx One platform is a new architecture powered by agentic security agents and AI-native intelligence across the software and AI supply chain.
Triage Assist
An autonomous AI agent that prioritizes vulnerabilities in source control based on real-world exploitability and contextual risk, enabling teams to focus on what truly matters rather than static severity scores.
Remediation Assist
Generates review-ready fixes for validated vulnerabilities before code merges, accelerating secure delivery and reducing manual remediation overhead.
AI Supply Chain Security
A centralized governance and visibility layer for AI components embedded in modern applications. It discovers hidden AI assets, including models, agents, datasets, prompts, and AI-BOM elements, detects model-loading and execution risks, and enforces policy within existing development workflows.
AI SAST
A hybrid LLM-powered and query-based analysis engine that expands detection across emerging, unsupported, and AI-generated programming languages, extending security beyond traditional rules-based scanning.
DAST for AI
A next-generation dynamic analysis engine that strengthens runtime protection across CI/CD and production environments, supporting flexible testing strategies for AI-accelerated applications.
Together, these innovations shift application security from reactive review to agentic governance, aligned with the speed and complexity of AI-driven software development.
"The AI era has fundamentally disrupted the balance between software creation and assurance," said Sandeep Johri, CEO of Checkmarx. "Code is now produced at machine speed, but successful security in this environment requires more than speed alone. It requires independent oversight, full visibility across the AI software supply chain, and unified governance that spans code, dependencies, AI assets, and runtime. Agentic application security brings those capabilities together, helping enterprises close the risk gap without slowing innovation."
"AI has compressed the software development lifecycle from months to minutes," said Jonathan Rende, Chief Product Officer at Checkmarx. "When applications move that fast, risk compounds just as quickly. Our redesigned agentic platform allows development organizations to innovate at machine speed while securing AI generated applications to protect the business."
The new capabilities announced today are all available as part of the Checkmarx One Enterprise Edition, or as add-ons to the Essentials or Professional Edition.
About Checkmarx
Checkmarx is the leader in agentic application security, delivering enterprise-grade protection while lowering engineering costs and accelerating development velocity. The Checkmarx One platform scans trillions of lines of code each year for companies, cutting vulnerability density by more than half. Its autonomous security agents detect and counter AI-driven threats across the SDLC, providing prevention-first protection for legacy, modern, and AI-generated code at enterprise scale.
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