Compare Eureka DevSecOps vs. Xygeni

Eureka is a comprehensive cloud-based platform tailored for application security and DevSecOps, specifically designed for software development teams. It thoroughly examines code, dependencies, exposed secrets, and risks associated with the software supply chain while also accommodating outputs from supported scanners and SARIF results. The platform effectively aggregates findings, eliminates duplicates, and prioritizes issues based on application context, ensuring that ownership, remediation, validation, approvals, and risk-related decisions are meticulously tracked. Development teams can seamlessly integrate their code repositories, issue tracking systems, and CI/CD workflows, allowing them to correlate findings with tickets and pull requests. Furthermore, Eureka maintains a detailed history of activities and decisions, which proves invaluable for preparing application security documentation needed for customer security reviews, audits, and compliance with regulations. This solution is ideal for engineering and security teams aiming to implement or manage an application security process without the hassle of manually integrating scanners and managing evidence workflows, thereby streamlining their security efforts. By reducing complexities, Eureka empowers teams to focus more on building secure applications rather than getting bogged down in administrative tasks.

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.