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Description

Safeguard cloud-native applications while minimizing the potential attack surface by identifying vulnerabilities, concealed malware, sensitive information, compliance breaches, and additional risks throughout both the build and runtime phases, thereby guaranteeing that only compliant containers are deployed in production. Seamlessly incorporate security measures early in the continuous integration and continuous delivery (CI/CD) process, automating protections that enable DevSecOps teams to launch production-ready applications without hindering build timelines. With the confidence that applications are secure, developers can focus on building and deploying their projects. Leverage a unified platform that provides automated discovery, runtime protection, continuous threat detection and response for cloud workloads and containers, as well as managed cloud threat hunting. This comprehensive solution aids in uncovering hidden malware, embedded secrets, configuration errors, and other vulnerabilities in your images, ultimately contributing to a significantly reduced attack surface and enhanced security posture. Empower your team to innovate while maintaining the highest security standards.

Description

Security teams juggling a dozen scanners face the same recurring question: which alert actually matters today? Xygeni is an AI-native ASPM platform built to answer that, not add another tool to the pile. It brings native detection across SAST, SCA, DAST, Secrets, IaC, Container, CI/CD, and Build Security into one platform, and ingests findings from tools you already run (Snyk, Veracode, Checkmarx) so nothing gets ripped out to adopt it. Every finding, native or third-party, gets the same AI triage, prioritization by exploitability and business impact, and remediation, cutting alert noise by up to 90%. Two AI systems drive that: CoreAI correlates risk across the stack for security leaders, translating technical posture into terms a CISO can act on and take to the board. DevAI works inside the IDE and AI coding assistants, fixing issues in human-written and AI-generated code before a PR is opened, so remediation happens before CI ever runs rather than after a finding sits in a backlog. On the supply chain side, MEW catches malicious open-source packages before a signature exists, stopping attacks signature-based tools miss entirely. Shield extends that same enforcement to the developer's own machine, blocking unauthorized package downloads at the OS level before they reach disk. Xygeni also applies its AI triage and remediation to code quality issues, ranking maintainability and complexity problems in the same console as security findings. Runs as SaaS, on-prem, or air-gapped, with EU-hosted options for regulated environments. Integrates with GitHub, GitLab, Bitbucket, Jenkins, and Azure DevOps.