Apiiro, an application security platform, has launched Software Graph Visualization, an AI-powered tool that provides real-time mapping of software architectures to identify and mitigate risks more efficiently, as the firm put it.
The interactive graph allows security teams to visualize how components, vulnerabilities, and sensitive data interact across software systems, offering a comprehensive overview that accelerates threat detection and response, the firm claims.
“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 Idan Plotnik, co-founder and CEO of Apiiro.
He explained that “we are committed to equipping customers with security insights that are intuitive, actionable, and focused, rather than overwhelming.”
The visualisation tool replaces traditional self-attestation reports with an automated map that continuously updates in real time, identifying critical software components, toxic combinations, and potential attack surfaces.
By incorporating deep code analysis, it enables users to pinpoint risk exposure and track data flow across systems without the need for manual assessments.
As AI code assistants become more prevalent in development environments, the complexity of managing software compliance and security risks has increased.
According to Plotnik, manual processes can no longer keep pace with rapid software changes. “By using AI agents to generate a visual map of the entire software inventory, along with contextual security review questions and threat model stories, security teams can quickly identify, prioritise, remediate, and communicate risks,” he said.
“Security is not just about identifying risks, it’s about understanding them in context and responding effectively.”
– Idan Plotnik
The Software Graph Visualisation tool is designed to provide a comprehensive view of software design and data flows, assisting security teams in assessing vulnerabilities and evaluating how sensitive data traverses various components.
It outlines potential entry points, API architecture, and critical assets, allowing security teams to focus on the most vulnerable areas during penetration testing.
Additionally, the graph highlights how new code changes affect the application’s risk landscape, pinpointing new dependencies, endpoints, and sensitive data flows.
It helps users track the movement of personal and confidential data to identify potential privacy risks, such as the inadvertent sharing of personally identifiable information.
By visualising dependencies within open-source software and infrastructure, the tool enables teams to assess the wider impact of security breaches and focus mitigation efforts accordingly.
Security teams can also prioritise remediation efforts based on comprehensive context, ensuring the most critical vulnerabilities are addressed promptly.
Plotnik emphasised that the goal of the Software Graph Visualization tool is to move beyond static risk assessments and provide a dynamic, question-driven framework that enhances risk communication and decision-making.
“Security is not just about identifying risks, it’s about understanding them in context and responding effectively,” he said.
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