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 concerns, such because the mannequin’s provenance and knowledge pipelines, testing guardrails which are in place for implementation, analyzing the deployed methods for exploitable parts, and focusing on runtime enterprise processes for potential failures or vulnerabilities in how a number of AI parts work together at runtime in manufacturing.
This phased strategy permits for environment friendly danger identification, implementing a multi-layered protection, optimizing sources, and pursuing steady enchancment. Instruments must also be used for mannequin analysis to assist pace of analysis, environment friendly danger detection, consistency, and complete evaluation. The whole OWASP generative AI Purple Teaming information supplies an in depth guidelines for every blueprint part, which may be referenced.
