AI is everywhere. And that’s great. With the recent announcements of Apple incorporating AI deeply into their platforms, privacy is again a big topic. Beyond the Big Tech, businesses worldwide are increasingly exploring the benefits of using AI – from embedding their data into public services to hosting their own models locally. The incubation of personal and sensitive data into these AI stacks has raised significant concerns regarding data privacy and security. This poses huge challenges for our friends in security and compliance teams in ensuring adherence to privacy and data protection regulations (yeah, they are still valid!). One thing is clear – this will be a tough balancing act between AI, security and privacy: whether it's using publicly available generative AI, implementing tools like MS Copilot across an enterprise, or training of large language models (LLM) on internal data, organizations need to carefully plan their next steps.

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