Secure deployment of AI

Secure your AI

Eliminate operational risks in your AI system

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AI introduces operational risks

The availability of large-scale data and computing power is making AI technologies transformational for organizations. The main challenge, however, is that AI introduces serious operational risks. Failures across the AI production pipeline, such as bugs in model serving, broken data pipelines, distributional drift, and adversarial inputs can lead to catastrophic errors when critical decisions are 
at stake.

The Robust Intelligence Paradigm

Eliminate AI operational risks through automated model testing

Every operational risk can be resolved by an appropriately designed test. The Robust Intelligence paradigm is based on two complementary components that work in conjunction: automated tests of pre-production models and quality assurance tests of in-production models

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