Cyber exposure management firm Armis has declared the debut of Armis Centrix for Application Security, a new AI-powered tool that aims to enable businesses to find, rank, and fix security weaknesses throughout the software development process while at the same time lowering operational complexity and cyber risk. The product is in line with the increasing security issues of software development with AI-assisted coding and fast production that may release large amounts of vulnerabilities to the market. Being an element of the entire Armis Centrix cyber exposure management platform, the new product gathers disparate application security measures into one unified setup which is capable of scanning code dependencies container images, and configuration files across multiple programming languages and development environments. Using AI-native scanning and side context analysis, the system detects not only the known vulnerabilities but even the very elusive ones which regular, template-based tools largely miss enabling organizations to resolve issues in the development phase before the system becomes live. It also directly plugs into the CI/CD and other developer tools and by providing the context of the infrastructure and runtime environment gives security teams the ability to prioritize risks on the basis of actual exposure and business impact rather than on the basis of generic severity scores. According to Armis, the solution reduces false positives by up to 70 percent and accelerates mean time to resolution (MTTR) by automatically routing identified issues to the appropriate developers along with remediation guidance, helping security and engineering teams collaborate more effectively. “To effectively manage risk, it’s essential to get to the root cause of the problem and weed it out,” said Nadir Izrael, CTO and Co-Founder of Armis. “Code-based vulnerabilities are being embedded into organisational infrastructure, and AI-generated code is exacerbating the problem, containing exponentially more vulnerabilities when compared to code written by human developers. As enterprises embrace AI-assisted coding and drive continuous development pipelines, they need a smarter, more dynamic, and unified approach to securing software at scale.” Industry analysts also highlight the urgency of modernizing application security practices.
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“With AI-assisted coding, developers can ship faster, but they can also introduce security vulnerabilities just as fast. As a result, security teams are under pressure to respond at the same speed and scale,” said Katie Norton, Research Manager, DevSecOps and Software Supply Chain Security at IDC. “The AI-native scanning, platform-level context, and independent validation Armis Centrix delivers could benefit security teams trying to keep up with this new era of development.” Designed for enterprise scalability, the platform integrates seamlessly into existing security and development stacks and provides end-to-end coverage from source code to production environments. Armis Centrix for Application Security also achieved top performance in the Public CASTLE Benchmark C@250, a third-party evaluation measuring a tool’s ability to detect code vulnerabilities before deployment, highlighting its accuracy and effectiveness in securing modern software environments.
