Description: Identity analytics refers to the analysis of data related to user identities to enhance security and regulatory compliance in digital environments. This approach is framed within Zero Trust strategies in cloud computing and identity and access management (IAM). Identity analytics enables organizations to identify behavioral patterns, detect anomalies, and manage risks associated with user identities. Through advanced data analysis techniques, such as machine learning and artificial intelligence, companies can assess the access risk of each user in real-time, allowing them to make informed decisions about granting permissions and authentication. Additionally, identity analytics contributes to creating more accurate user profiles, facilitating personalized user experiences and improving operational efficiency. In a world where cyber threats are increasingly sophisticated, identity analytics becomes an essential tool for protecting digital assets and ensuring compliance with security regulations.
