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 [...]