For years, healthcare organizations have relied on legacy identity governance and administration (IGA) solutions to manage user access, ensure compliance, and safeguard vital data. However, these traditional solutions fall short in the face of increasingly complex IT requirements, leading to operational inefficiencies and risk associated with workers and partners having more access to health system apps and resources than they should. This is often called over-provisioned access, or entitlement creep.
A typical digital health system has tens of millions of access privileges spread across legacy and modern applications within on-premises and cloud environments. Unfortunately, legacy IGA solutions don’t provide enterprise-wide visibility or the context needed for an informed decision-making process about access privileges. Instead, they operate in “identity silos” based on static data, such as assignments, roles, and entitlements. These silos leave decision-making stakeholders blind as to who has access to what and, more importantly, why they have access.
To solve this problem, healthcare leaders are implementing Ping Identity’s AI-powered identity governance and administration (IGA) solution to revolutionize their health system’s identity governance and administration. Ping’s Identity Governance solution can help you achieve a variety of risk management initiatives. These include the following.
1. Eliminate identity silos with contextual visibility across your entire digital health system
Unlike siloed, legacy IGA solutions, Ping’s AI-informed IGA solution collects and analyzes identity data from all data sources. It provides enterprise-wide visibility into all identities and their access rights, in addition to contextual insight into who has access to what and why.
2. Unmask access blind spots for informed decision-making and risk management
Access blind spots are common with legacy IGA solutions, a particular problem with disparate systems that don’t share data. Ping’s IGA solution increases your visibility of who has access to what by leveraging AI and ML to analyze all identity data and identify user access and entitlement risk organization-wide. It also identifies and highlights high-risk access and inappropriate access privileges for stakeholders such as compliance and audit teams.
3. Solve inappropriate user access to health systems with access rights identification
Most access requests and audits are managed through manual tasks. With Ping’s identity governance solution, you can say goodbye to manual rubber-stamping and bulk approvals that introduce risk to your health system. Our IGA solution uses AI and ML to automate the governance function and provide an analysis of all identity-related data. By analyzing the entire user access landscape, you can proactively rectify over-provisioned users and outliers, recommend remediation, and automate the removal of access rights when appropriate.
4. Identify inappropriate access privilege patterns with health system access insights organization-wide
Instead of manually analyzing who has access to what, you can use Ping’s IGA solution to automate insights for all user access patterns. And, by using machine learning (ML) to understand dynamic changes across your healthcare organization, you can predict and identify outliers, including inappropriate access privilege patterns and unauthorized user access.
5. Eliminate manual user access approvals with automated approvals and remediation
Giving users access to apps and resources is typically a manual process. Ping’s identity governance solution eliminates manual approvals and remediation. With our AI-driven identity analytics approach, you can automate the approval of high-confidence, low-risk access requests and certifications, as well as the revocation and removal of stale user access rights. This automation reduces access request burdens and accelerates certification campaigns without exposing your healthcare organization to unnecessary risk.
