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한국어Shadow data
Concept
Shadow data is any unknown, hidden or overlooked copy of sensitive information that exists outside an organization's IT security and governance frameworks, for example in forgotten storage accounts, personal drives or AI training data sets.
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Articles about Shadow data (4)
- Securing Sensitive Data: How to Protect Contracts and PII with Microsoft Purview Auto-Labeling
· Mirko Peters
Welcome back to another deep dive into the evolving world of modern enterprise technology. In today's digital workplace, the velocity at which organizations create,… - Uncovering the Hidden Risks of Shadow AI in the Workplace
· Mirko Peters
Welcome back, data security enthusiasts and modern workplace leaders! If you have been keeping an eye on how your teams utilize technology, you already know that th… - Uncovering the Hidden Risks of Shadow AI in the Enterprise
· Mirko Peters
Welcome to our deep dive into one of the most pressing cybersecurity and compliance challenges facing modern organizations today: the rapid proliferation of shadow … - Microsoft Copilot Hallucination Risks
· Mirko Peters
Understand Microsoft Copilot hallucination risks, why inaccurate answers happen, and how governance, grounding, validation, and user training reduce impact.
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- Feed for this topic (RSS): entity/shadow-data/feed.xml
- Articles on this topic: 4
Maintained by Mirko Peters (Microsoft MVP) · Last updated: