Part 3/7:
In practice, this involves designing systems that restrict data access and enforce strict privacy rules. For instance, when building AI models such as GPT-based solutions internally, organizations prioritize data governance, making certain that the AI tools only process anonymized or sanitized data. This approach allows companies to harness AI’s capabilities without compromising security or violating data regulations.