Decentralized Identity protection is important in data collaboration because it helps to protect the privacy and security of individuals and organizations involved in the supply chain. By ensuring that only authorized individuals have access to sensitive information, identity protection helps to prevent data breaches and other security incidents. A chain of trust establishes a series of checks and verifications that ensure that the data being shared is accurate and trustworthy. This is critical in the context of supply chain regulations, where inaccurate or incomplete information can have serious consequences for compliance and risk management.
In the second part of the talk, we will explore the concept of adaptive protection for identities in Microsoft Purview. By using a combination of machine learning, behavioral analysis, and risk-based decision making, we can create a dynamic system that adapts to new threats in real time. This approach offers a more proactive and effective way to safeguard identities, and can be applied across a range of industries and contexts. Together, we can work to develop a more robust and resilient digital identity ecosystem that protects individuals and organizations alike.
