APIIRO DEVELOP

Discover, Govern and Assess AI Risks in Your Code

AI models, GenAI frameworks, and training datasets are rapidly entering codebases—without inventory or governance—creating a new attack surface that impacts your entire software architecture.

Apiiro leverages patented Deep Code Analysis (DCA) to automatically discover where AI is used in your code, determine if it’s reachable to attackers from code to runtime, detect toxic combinations, assess risks to sensitive data and compliance, and reduce exposure across your applications.

WHY APIIRO

The truth is always in the code—and AI security starts with visibility. But you can’t assess AI risks through a siloed lens. Apiiro uncovers how GenAI frameworks, models, and datasets interact with your software architecture—APIs, exit points, and sensitive data flows—to automatically assess and reduce risk with real context.

HOW IT WORKS

AI Security Built on Code-Level Visibility and Architectural Context

Apiiro detects GenAI usage in code, maps it to services and components, and helps teams take action based on clear risk context.

Identify GenAI packages across your codebase

Apiiro uses Deep Code Analysis (DCA) to continuously detect, inventory, and visualize GenAI frameworks, AI models, and training datasets introduced via code commits or open source packages—based on actual code usage and their relationships to other components in your software architecture (e.g., APIs, PII, Exist Points).

Map usage to services and teams for investigation

Apiiro correlates detected packages with the services they affect, their architectural role, and the developers involved.

Security teams get the context needed to investigate unapproved GenAI usage and assess the potential impact.

Secure AI usage in your code

Learn how Apiiro helps security teams detect and assess GenAI usage with deep code analysis and risk context.

Get a live demo or explore our ASPM platform.