Apiiro's Application Security Posture Management (ASPM) platform offers visibility into applications, going beyond alert aggregation and vulnerability detection. It provides a comprehensive application and software supply chain inventory, analyzing code commits, pull requests, builds, and runtime environments to detect changes and extract context for prioritization. Apiiro's XBOM allows exploration of application facets, including technologies, frameworks, components, and contributors, along with their risks and interconnections. The platform monitors code changes that impact the app attack surface, aiding in security reviews and regulatory compliance. Apiiro leverages Deep Code Analysis (DCA) and code-to-runtime modeling to understand application architecture and determine critical risks. It contextualizes findings based on business and application architecture, prioritizing based on risk likelihood and impact. Apiiro integrates with security tools, enriching findings from SAST, SCA, CSPM, and runtime API security, as well as bug bounty programs and penetration testing. Apiiro's Risk Graph connects different types of risks, leveraging context from code, runtime, databases, and tools to surface critical risks. It bridges the gap between risk management, application security, and development teams with automation workflows and developer integrations. The platform's dynamic risk engine allows setting granular, multidimensional, and business-specific risk policies. Developer-centric guardrails minimize distractions from false positives, and dashboards and reports benchmark application security posture and communicate the impact on development velocity and risk reduction. Apiiro is an open ASPM, integrating with security, development, and productivity tools. Its code analysis and change detection enable continuous monitoring and risk assessment. It unites security teams and developers with a common language, focusing resources on critical issues.

Features

• Complete Application Visibility: Provides an up-to-date application and software supply chain inventory, including APIs, GenAI, authentication frameworks, and PII in code.
• Material Code Change Detection: Monitors commits and pull requests for changes that impact the app attack surface.
• Deep Code Analysis (DCA) & code-to-runtime context: Leverages patented DCA and code-to-runtime modeling to understand application architecture and determine critical risks.
• Risk Graph™️: Connects different types of risks, leveraging context from code, runtime, databases, and tools to surface critical risks.
• Dynamic risk engine: Defines and continuously calculates risk, allowing granular, multidimensional, and business-specific risk policies.
• Developer-centric guardrails: Business-critical risks block releases, minimizing distractions from false positives.
• Measurement and reporting: Dashboards and reports benchmark application security posture and communicate the impact on development velocity and risk reduction.