What the GDPR, the AI Act, NIS2, ISO 27001, and sector rules mean once your team uses AI.
Compliance frameworks rarely mention AI by name, but they all apply the moment staff paste personal or confidential data into an AI tool. The GDPR governs personal data, the AI Act governs the system, NIS2 raises governance and incident duties, and ISO 27001, the BIO, and NEN 7510 ask for organisational measures and awareness. The shared practical answer is data minimisation at the point of typing.
Most rules that organisations live by were written before everyday generative AI. They still apply. A national ID in a prompt is personal data under the GDPR. A care file in a chatbot is special-category data under NEN 7510. An incident with a public AI tool can become a reporting duty under NIS2.
These guides translate each framework into the same practical question: which data may leave your organisation, and how do you keep the rest out of an AI tool. They cover the GDPR, the EU AI Act, NIS2, ISO 27001, and the BIO and NEN 7510 for government and healthcare.
The common thread across all of them is data minimisation and awareness at the moment data is shared. A signal in the text field, so the person typing can remove, replace, or mask sensitive data before they send, supports the organisational measures these frameworks ask for, without reading the content of private chats.
Articles in this topic
Meeting notes full of account numbers end up in ChatGPT faster than any policy can catch. What that means for a regulated firm, and how to keep control without banning AI.
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Almost two years late, NIS2 is now Dutch law. From 15 August 2026, the duty of care, the reporting duty, and the registration duty apply to more than 8,000 organisations. The timeline, the duties, and what to arrange now.
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Dutch healthcare is in two transitions at once: the revised NEN 7510:2024 with a certification deadline in February 2027, and the Cyberbeveiligingswet taking effect on 15 August. What the standard asks and how to make it demonstrable.
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Only genuinely anonymised data falls outside the GDPR. The other two are useful and change none of your obligations.
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Six questions, with what a usable answer looks like and what an evasive one looks like. Built to be used in a call, not filed in a folder.
Read the article If an AI vendor processes personal data on your behalf, it is a processor and a data processing agreement (Article 28 GDPR) is usually mandatory. Free accounts do not have one. Here is when you need a DPA and what has to be in it.
Read the article The GDPR does not mention AI, but it applies the moment you put personal data into an AI tool. Here are the concrete measures: lawful basis, data minimisation, processor role, transfers, and security.
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NIS2 raises the bar on cybersecurity, governance, and incident reporting. AI tools are part of your attack surface and your supply chain. Here is how NIS2 and AI privacy meet.
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ISO 27001 does not mention AI, but it requires policy, classification, supplier management, awareness, and data leakage prevention. Here is how to bring AI use under those controls.
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Government works with the BIO, healthcare with NEN 7510. Both demand strict handling of sensitive data. Here is what that means once staff start using AI tools.
Read the articleMostly not. The GDPR, NIS2, ISO 27001, the BIO, and NEN 7510 predate everyday generative AI, but they apply as soon as personal or confidential data enters an AI tool. The EU AI Act is the one framework written specifically for AI systems.
Data minimisation and awareness at the point of use. Keep personal and confidential data out of prompts, document what you do, and make the safe path the easy path so people follow it under time pressure.
The infrastructure BeeSensible runs on is ISO 27001 certified. BeeSensible itself is not certified. BeeSensible supports your measures by making sensitive data visible before it is sent, but it does not replace your own compliance work.
Detect sensitive data before it leaves your team, in any app, in real time.