Boost Zero Trust In Healthcare With AI-Driven Least Privileged Access

AI-Driven Role Management Accelerates Zero Trust Security for Healthcare

Trends in healthcare, such as digital health ecosystems, cloud adoption, and a historic rise in remote work, are redefining the parameters of good identity governance and administration (IGA). Many new identity types (machines, devices, APIs, applications, and microservices) require advanced methods such as Zero Trust to control access.

A large part of the problem is legacy role-based access control (RBAC) solutions that rely on manual role mining and modeling. This approach fails to keep up with identities at scale in today's fluid business environments, where providers, employees, and contractors frequently change jobs, roles and or organizations. The results are overprovisioned access, orphaned accounts, and entitlement creep, which notoriously escalate insider and external threats.

Understanding the challenges of traditional RBAC and the best practices to address them is crucial to maximize your existing identity governance investments and boost Zero Trust.

Download Boost Zero Trust in Healthcare with AI-driven Least Privileged Access to learn:

• The pitfalls of legacy RBAC solutions within healthcare IT

• How to leverage AI and machine learning to augment your existing IGA solution

• How to better manage and enforce least privilege access for Zero Trust

• How wecan help you achieve lower operational costs, smarter security, and get time back in your day

Download this game changing paper today