Webinar
NIS2 in the Age of AI: How to Gain Control Over Your Data in Microsoft 365?
- April 29, 2026
- 10:00 a.m. – 11:00 a.m.
Fill out the form to register for the webinar
With the implementation of AI and Copilot in Microsoft 365, organizations are losing real control over who has access to what data. At the same time, NIS2 requires full visibility, auditability, and risk management. We’ll show you how to reconcile these requirements in practice.
During the webinar you will learn:
How AI (e.g., Copilot) is changing the data access model in Microsoft 365 and where new data leakage risks are emerging
how to check what data is actually accessible to users and AI systemsHow to address excessive and legacy permissions (privilege creep), which are a major source of risk
How to build NIS2-compliant access controls without manual audits and operational chaos
how to ensure full auditability: who had access to what data, when, and under what circumstancesHow to prepare your organization for regulatory inspections and reporting obligations
How to limit the “blast radius” in the event of an account takeover or security incident
Leader:
On a daily basis, he supports partners and their clients in selecting solutions that help them improve their cybersecurity. By combining technical knowledge with soft skills, he serves as a bridge between technical departments and the business side.
Adam Żaczek is an experienced software engineer and the founder of 1Security. He serves as CEO and CTO at 1Security, where he focuses on building solutions that streamline data and access management for organizations of all sizes, with an emphasis on security, transparency, and ease of use.
Why Onex Group?
- An AI-driven approach across all technology areas
- A partner in digital transformation with expertise in implementing Microsoft solutions
- Our team of experts based in Poland supports clients around the world
- 8,000+ Satisfied Clients
- 100+ professionals on board
- Certified Microsoft technology experts:
- Data & AI (Azure) – Analytics on Microsoft Azure
- Data & AI (Azure) – AI and Machine Learning
- Modern Work – Adoption and Change Management
- Modern Work – Calling for Microsoft Teams
- Modern Work – Teamwork Deployment
Where do we implement projects?
