Khadija Assbai
Compliance, Risk & AI Security - Microsoft
Gent, Belgium
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Ex Global Black Belt at Microsoft, I am currently working as a Risk, Compliance and AI solution engineer in that same company.
In previous roles, I was Corporate legal advisor, DPO and Information security advisor. At Microsoft, I am here to participate in building bridges between our customers’ Compliance challenges, AI secure implementation and the Microsoft solutions.
I hold various masters (ICT and Law) and certifications, the most recent ones being Azure Data Scientist Associate (DP-100) and Agentic AI Business Solutions Architect (AB-100)
Area of Expertise
Topics
Data Security in the Age of Autonomous AI: Strategies for Cybersecurity and Compliance (45min)
As agentic AI systems evolve from simple assistants to autonomous decision-makers, the stakes for data security have never been higher. These intelligent agents interact across platforms, access sensitive information, and execute tasks without constant human oversight—creating new challenges for governance, compliance, and risk management. This session will unpack the security implications of agentic AI and provide a roadmap for organizations to stay ahead. We’ll explore practical strategies for implementing robust controls without slowing innovation while taking into account regulatory requirement around the EU AI Act and NIS 2. Attendees will gain actionable insights on integrating data protection into AI-driven workflows, ensuring trust and resilience while unlocking the full potential of autonomous systems. Whether you’re a security leader, compliance officer, or technology strategist, this session aim to equip attendees u to secure their organization in the agentic era.
What about data leakage? Data Loss Prevention vs Insider Risk Management
Microsoft Purview Data Loss Prevention and Insider Risk Management are complementary solutions within the Microsoft Purview Compliance stack to defend your data by preventing their inadvertent or malicious leakage by insider threats. As Insider risks are one of the top concerns of security and compliance professionals, this session aims to provide a deep dive of the core capabilities and features of these two solutions through practical common use cases.
StrawHats Inc, 50 mins of best-practices concerning Data Security.
For this session we created a brand new demo environment with all the best practices we can give concerning Microsoft Purview. Points to be touched in this session: Labeling, what & how?, Data Loss Prevention, where to start? Insider Risk Management, how to configure...
PURRRRR, What is this Purview thing?
Microsoft Purview is the compliance portfolio of Microsoft. Getting insights on your corporate data is a must these days. Applying sensitivity labels and automatic labelling through Purview Information Protection is a start. But wanna take things next level and protect/monitor where your data is going inside your organization? Then come to this session and we'll show you how Purview fits in the whole MSFT ecosystem.
Endpoint DLP: Extreme Deep Dive
Protecting your endpoints goes on multiple levels. One of them is through Microsoft Purview with Data Loss Prevention. Zero Trust framework builds around protecting data. In this session we'll dive deep into endpoint DLP and give you tips and tricks on how to roll it out.
Data is the new gold and insiders might be the unwanted gold diggers
Microsoft Purview is the Data Governance, Risk and Compliance family of Microsoft. Data Loss Prevention and Insider Risk Management are complementary solutions within Microsoft Purview to defend your data by preventing their inadvertent or malicious leakage by insider threats, and this in real-time. As Insider risks are one of the top concerns of Security and Compliance professionals, this session aims to provide an overview of the core capabilities and features of those two solutions through a practical common use case.
All we hear is CoPilot, but how to make it (Data) secure?
Copilot unlocks a lot of data and insights for your users. But without the proper setup of Data Security, it's risky that Copilot will get too much critical information and as an organization you don't want that happening. In this session we'll show you what to implement (Labeling - DLP - ...) to have a good ethical working Copilot and where your data is secure in the organization.
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