AI complicates data governance in healthcare as it requires tracking and maintaining vast amounts of data, keeping data sets updated and removing biases. Defining responsibility for AI-driven decisions is also a challenge. However, AI can improve data management by enforcing policies, monitoring sensitive patient data, and aiding analysis of large data sets. Proper data governance and clear organizational values are key to managing these challenges.
Shrinking the IAM Attack Surface through Identity Visibility and Intelligence Platforms (IVIP)
The Fragmented State of Modern Enterprise Identity Enterprise IAM is approaching a breaking point. As organizations scale, identity becomes increasingly fragmented across thousands of applications, decentralized teams,
