Choose the right OWASP resource
The GenAI Security Project publishes material on risks in generative AI applications. Its risk lists help with awareness and discussion. The AI Security Verification Standard provides testable requirements for AI-enabled systems. Check the resource’s version and scope before treating it as a reference for an assessment.
Turn a topic into a boundary
“Prompt injection” is a useful starting label. The application question is more specific: can instructions in a retrieved document make a tool act outside the user’s permissions? That question leads to a design review, a controlled test, and an owner who can change the authorization layer.
Bring ordinary application security along
AI-specific checks sit alongside authentication, authorization, isolation, secure dependencies, and safe output handling. Review the web application and infrastructure as well as the model interaction. A model-focused test can miss a conventional cross-user access bug in the surrounding service.
Keep the evidence local and reproducible
Record the requirement, test setup, configuration, observed behavior, and remaining limits. Use synthetic sensitive information. An organization can use community material to improve its work without implying OWASP has endorsed or certified the application. When redistributing a resource, check its license and attribution terms.
Try this with a familiar use case
Choose a document assistant or an AI feature your team understands. Read one of the official resources below, write down a question it raises, and identify the local evidence needed to answer it. Keep your own interpretation separate from the source’s stated requirements.
Official resources
Independent educational guide. SyruSec is not affiliated with or endorsed by the organizations discussed. Full standards and materials remain subject to their publishers’ access and licensing terms.