4 ways to tap into AI’s power without Risking PII exposure

Andrew Cheung
2 min readMay 2, 2024

Companies are increasingly looking to leverage AI technologies to gain a competitive edge. However, many are hesitant to adopt AI solutions due to concerns over protecting sensitive Personally Identifiable Information (PII). Safeguarding PII is not only a legal and ethical obligation but also crucial for maintaining customer trust and avoiding costly data breaches.

Companies often need to send data to third-party providers or cloud-based services to train and utilise AI models. This introduces the risk of exposing PII, which could have severe consequences for the company, including legal penalties, reputational damage, and loss of customer confidence. Balancing AI innovation with data privacy has become a pressing issue.

How can companies securely leverage external AI models and services while effectively redacting PII from their data? What solutions and best practices should be adopted to mitigate risks and ensure compliance?

There are several solutions companies can implement to redact PII before sending data to third-party AI models or services

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Andrew Cheung

AI Consultant & Product Manager | Specialising in AI Strategy & transformation | Enhancing Business and User Journeys