Webinar Description
Key Takeaways
- Addresses the security challenges posed by non-human identities, including AI agents, operating within healthcare environments
- Focuses on protecting sensitive protected health information (PHI) handled by autonomous systems
- Covers SailPoint Human Fabric and SailPoint Agentic Fabric as unified identity security solutions
- Intended for healthcare IT and security professionals managing complex identity ecosystems
The Non-Human Identity Challenge in Healthcare
Healthcare organizations now operate with a growing population of non-human identities, including AI agents and automated systems that function alongside clinical staff. These autonomous identities often handle sensitive PHI while operating in the background of patient care workflows. Many are created outside the visibility of IT departments, introducing unmanaged security risks that traditional identity governance approaches may not address.
This webinar examines how the proliferation of non-human identities creates security gaps in healthcare infrastructure and what organizations can do to regain control over their entire identity landscape.
Unified Identity Security for Human and Non-Human Identities
The session presents SailPoint’s approach to adaptive identity security through two complementary products. SailPoint Human Fabric provides continuous security for human workforce identities, while SailPoint Agentic Fabric focuses on discovering, governing, and protecting autonomous non-human identities and AI agents. Together, these products form a unified platform designed to provide consistent protection across all identity types within healthcare infrastructure.
The webinar explores how healthcare organizations can use this combined approach to reduce risk while enabling the adoption of AI-driven automation.
Who Should Attend
This webinar is relevant for healthcare IT leaders, identity and access management professionals, security architects, and compliance officers responsible for protecting PHI. Organizations evaluating how to govern AI agents and other autonomous systems within their environments will find the session particularly applicable.