OWASP recommends evaluating generative AI methods in phases, together with fashions, implementation, methods, and runtime, as seen under:
OWASP
Every of those phases has key issues, such because the mannequin’s provenance and information pipelines, testing guardrails which can be in place for implementation, inspecting the deployed methods for exploitable parts, and concentrating on runtime enterprise processes for potential failures or vulnerabilities in how a number of AI parts work together at runtime in manufacturing.
This phased method permits for environment friendly danger identification, implementing a multi-layered protection, optimizing sources, and pursuing steady enchancment. Instruments also needs to be used for mannequin analysis to help velocity of analysis, environment friendly danger detection, consistency, and complete evaluation. The entire OWASP generative AI Crimson Teaming information offers an in depth guidelines for every blueprint part, which might be referenced.
