Why context is the missing link in AI data security

AI is fundamentally driven by data. It is used to train and tune models, enable agents to plan and reason, and fuel interactions with end users. However, it can also create risks, such as sensitive data leaks, unwanted data collection, and data misuse.

In the AI era, organizations need more than security controls that rely on manual tagging and simple keyword matching. Effective data protection now depends on understanding context. 

To help you meet this challenge, Google Cloud’s Sensitive Data Protection (SDP) now uses advanced AI technology to power a new set of context classifiers (including medical and finance) and image object detectors (such as faces and passports). By understanding the context of data — even within images and rich documents — our enhanced rules engine can identify and mask sensitive information more effectively, helping to ensure that your AI agents access only the data they need.

Now generally available, these ...