Organizations are using data and algorithms based on that data to drive critical and automated decision-making at unprecedented scale. But what if the data entering the AI algorithms has been compromised along the way or the algorithms themselves altered? Companies need to know that they are using pristine data in their AI systems. They must be able to stand by the integrity of the data and algorithms used by AI. This might be called Verifiable AI — when an organization can provide immutable proof that the data used by their AI systems is unaltered.