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Robustness & Reliability Analysis

In manufacturing, the AI models used tend to drift and the performance deteriorates through time. Moreover, security concerns make the firms adopt closed systems that restricts their flexibility. That is where Validaitor comes into play and enables a comprehensive evaluation of the AI systems.

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The Problem

An AI developer wants to put a new version of the AI model that is used in the factories of their customers to detect defect production and alert the maintenance team if necessary. However, the AI developer is not very familiar with how to test the AI model for reliability and security and which methods to apply.

The Challenge

The reliability and security issues of the AI models arise in subtle ways. Detecting the drifts and hacking activities and acting upon with appropriate measures require a good understanding of AI red and blue teaming.

The Solution

VALIDAITOR provides out-of-the-box reliability and security tests that are tailored to the use case. With this holistic evaluation, AI developers better understand the quality of their AI models, the weak spots that need more attention and their model’s vulnerability level to hacking activities.

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