Profile
Apiiro is an Application Security Posture Management (ASPM) platform that unifies application risk visibility, prioritization, and remediation across software development lifecycles. The platform employs proprietary Risk Graph technology and Deep Code Analysis capabilities to provide contextual security insights for enterprise environments. As a venture-backed commercial solution with significant enterprise adoption, Apiiro addresses the complexity of modern application security through automated analysis and risk-based prioritization while maintaining development velocity.
Focus
Apiiro solves fundamental challenges in application security by eliminating fragmented tooling and contextless alerts that plague security teams. The platform addresses the inherent complexity of securing modern software supply chains, microservices architectures, and distributed development environments. It serves enterprise organizations managing complex application portfolios, enabling security and development teams to identify genuine risks while avoiding unnecessary friction. Core benefits include unified security visibility, automated risk prioritization, and seamless integration with existing development workflows.
Background
Founded in 2018 by Idan Plotnik and Yonatan Eldar, Apiiro emerged from the recognition that traditional security approaches were inadequate for modern development environments. The platform has achieved significant enterprise adoption, including implementations at Fortune 500 companies such as BlackRock, Morgan Stanley, and Rakuten. Operating under private ownership with $135 million in venture funding from firms including General Catalyst, Greylock, and Kleiner Perkins, Apiiro maintains active development of its commercial platform while contributing select tools to the open-source community.
Main features
Risk Graph with Deep Code Analysis
The Risk Graph technology provides semantic understanding of software architecture through Deep Code Analysis (DCA), automatically discovering APIs, microservices, dependencies, and sensitive data elements within codebases. This proprietary analysis engine creates an extended Software Bill of Materials (XBOM) that includes not just open-source packages but also APIs, data models, and architectural components. The system generates continuous, real-time insights into application components and their interconnections, enabling precise risk assessment and prioritization across the entire software development lifecycle.
Code-to-runtime security correlation
This feature bridges the gap between static code analysis and runtime behavior by correlating security findings with actual production environment data. The system determines which vulnerabilities are genuinely exploitable in runtime environments, significantly reducing false positives. The correlation engine maps code-level security issues to their runtime impact, enabling security teams to focus remediation efforts on actual risks rather than theoretical vulnerabilities. This capability provides essential context for prioritizing security efforts in complex application environments.
Automated supply chain security analysis
The platform provides comprehensive security analysis of software supply chains through automated scanning of repositories and CI/CD pipelines. It includes native detection of weak branch protection rules, anomalous developer behavior, and pipeline misconfigurations. The system validates detected secrets across codebases, determines their operational status, and assesses their exposure in public repositories. This automated analysis extends to third-party dependencies, providing context about actual usage and deployment status rather than simply flagging known vulnerabilities.
