Xygeni Security develops application security software centered on software supply chain protection. Its AI-powered platform is designed to detect, prioritize, and remediate vulnerabilities, malware, secrets exposure, pipeline weaknesses, and cloud misconfigurations across the software development lifecycle. The company positions its offering as an all-in-one AppSec platform for modern development teams working at high release velocity and with increasing use of AI-assisted coding.
Xygeni Security operates a cloud-based platform backed by scanners and integrations that can run inside customer development and delivery workflows. The platform brings together code, dependency, pipeline, and posture data into a unified control plane so teams can move from isolated findings to risk-based remediation and governance.
Offerings, Capabilities, and Integrations
Xygeni Security’s capabilities span code analysis, open-source and dependency risk analysis, runtime testing, secrets detection, CI/CD and build security, infrastructure-as-code scanning, anomaly detection, and posture management. Its platform emphasizes exploitability-aware prioritization, automated remediation, malware-focused protection, and policy guardrails that can be applied from developer workflows through deployment.
Beyond its native scanners, Xygeni Security supports ingestion of third-party security findings into its posture management workflow and integrates with common SCM, CI/CD, ticketing, notification, and IDE environments. Documented integrations include GitHub, GitLab, Bitbucket, Jenkins, CircleCI, Travis CI, Azure Pipelines, Jira, Slack, and developer tooling such as Visual Studio Code, IntelliJ, Eclipse, Cursor, Windsurf, and Visual Studio 2022.
Products and Services
- Xygeni AI-Powered AppSec Platform: Unified application security platform that correlates code, dependency, pipeline, cloud, and supply chain risk into a single control plane with AI-driven prioritization and remediation workflows.
- DevAI: Agentic AI for AppSec embedded in modern IDEs, providing real-time analysis of human-written and AI-generated code, exploit explanations, and guided remediation inside the developer workflow.
- CoreAI: Intelligence engine that correlates findings across code, dependencies, pipelines, and posture data to prioritize risk and drive remediation actions across the organization.
- SAST: Static code security capability for detecting vulnerabilities and malicious code patterns in custom application code, with IDE support, policy guardrails, and AI-assisted fixing.
- SCA: Software composition analysis capability for identifying vulnerable and malicious open-source components, prioritizing exploitable dependency risk, and supporting remediation through pull requests.
- DAST: Dynamic application security testing for web applications and APIs that identifies runtime vulnerabilities by simulating real-world attacks and surfacing prioritized findings.
- Secrets Security: Secrets detection capability that scans code, repository history, text files, and container images for exposed credentials, validates many findings locally, and supports remediation workflows.
- CI/CD Security: Pipeline security capability that scans configuration files, build scripts, and CI job definitions to detect misconfigurations and risky settings across delivery workflows.
- IaC Security: Infrastructure-as-code security capability for detecting cloud misconfigurations across Terraform, CloudFormation, ARM, Bicep, Kubernetes, and Docker-related artifacts, with CI/CD enforcement options.
- ASPM: Application Security Posture Management layer that inventories SDLC assets, consolidates findings, applies contextual prioritization, and supports remediation and governance from code to cloud.
- Malware Defense: Malware protection capabilities that include malware scanning for malicious code evidence and Malware Early Warning for monitoring public registries, quarantining suspicious packages, and notifying affected users.
- Build Security: Build integrity capability focused on software attestations, including creation, storage, and verification of attestations through SALT to support trustworthy software delivery.
- Anomaly Detection: Behavioral monitoring capability for SCM and CI/CD environments that identifies suspicious activity, code tampering, drift, and other anomalous events across the software delivery chain.
- AI AutoFix: AI-driven remediation engine launched in 2025 that generates code fixes and pull requests for vulnerabilities, secrets, and misconfigurations directly within repository workflows.
Target Customers
Xygeni Security targets software organizations that need stronger application and software supply chain security without adding heavy process overhead. Its messaging and solution pages are tailored to developers, DevOps and DevSecOps teams, platform owners, and security leaders who need earlier detection, lower alert noise, faster remediation, and clearer operational visibility across the SDLC.
The platform is especially relevant for organizations with multiple repositories, CI/CD pipelines, open-source dependency exposure, and regulated or high-velocity engineering environments. Xygeni Security also positions its platform for teams adopting AI-assisted development and looking to secure both human-written and AI-generated code within normal engineering workflows.
Cloud Integrations and Marketplace
- Amazon Web Services (AWS): Xygeni Security supports AWS-related cloud security use cases through IaC scanning for Terraform resources and AWS CloudFormation, helping detect misconfigurations before deployment.
- Microsoft Azure: Xygeni Security supports Azure through IaC coverage for Terraform, ARM, and Bicep resources, and it documents integration with Azure Pipelines and Azure sensor workflows.
- Google Cloud: Xygeni Security documents Google Cloud coverage within its Terraform-based IaC scanning capabilities for major cloud providers, supporting cloud-agnostic infrastructure security workflows.
Key People
- Jesús Martín: CEO – Co-founder
- Luís Rodríguez: CTO – Cofounder
- Jesús Cuadrado: Chief Product Officer
- Oshcar Vidal Martínez: Chief Marketing Officer
Key Facts
- Headquarters: Madrid, Madrid, Spain
- Employees: 20-30 employees
- Annual Revenue: $2M-$4M
- Parent Company: None
- Subsidiaries: None
- Publicly Listed: Private
