Application security posture management company Apiiro Ltd. today announced the launch of Software Graph Visualization, a new feature in its agentic application security platform that provides an interactive, real-time map of software architecture.

Software Graph Visualization offers an interactive map that allows users to visualize their software architectures across all components, vulnerabilities, toxic combinations, blast radius, data exposure and material changes. Apiiro says it replaces outdated manual reporting with dynamic, artificial intelligence-powered insights.

The idea is that by ditching static, manual self-attestation reports for autonomous, clear, contextual insights and analysis, the new visualization feature helps security teams understand their fast-changing software architecture and pinpoint threats with a visual inventory of critical software components.

“Without a continuous view of software architecture across design, development and runtime, it’s impossible to effectively identify, prioritize, remediate and prevent application risks,” said co-founder and Chief Executive Idan Plotnik. “Software Graph Visualization eliminates the need to interview developers or use self-based attestation questionnaires that make it hard to identify how software components connect and where security risks emerge.”

Software Graph Visualization delivers question-driven, dynamic graphs that map risk exposure, attack surfaces and sensitive data flow in an intuitive, real-time format. It’s automatically and continuously updated, using deep code analysis to analyze the context and relationships of software components in real time to uncover risk exposure.

Use cases include threat modeling, where teams gain visibility into design-level risks and understand how sensitive data flows across system boundaries. That ensures communication paths and access points are secured, allowing proactive identification and mitigation of vulnerabilities. Scoping of penetration testing is also enhanced, with dynamic graphs that reveal attack surfaces, risky application programming interfaces and critical system components, helping teams focus testing efforts where they matter most.

Change impact assessment allows teams to compare pre- and post-release application states to spot how new code introduces risk. The graph highlights new endpoints, dependencies and technologies to enable smarter, more targeted security questions.

Additional use cases include privacy reviews, which trace how personal or sensitive data is shared or exposed, and answer key questions such as whether personally identifiable information is sent to generative AI. Another use case, blast radius analysis, can reveal how deeply a breach could spread across systems, considering both data usage and software dependencies. The platform also supports the detection of toxic combinations and provides full context for efficient vulnerability management and remediation.

Image: Apiiro