AI identity security has become a critical focus for modern enterprises managing non-human digital assets.
Saviynt announced it has surpassed 300 million dollars in annual recurring revenue. The company also launched Zuma, its new platform designed to secure artificial intelligence applications.
Specifically, the company grew its bookings by more than 80 percent during this period. Meanwhile, it maintained a customer retention rate of 96 percent. These financial achievements reflect a growing demand for modern cybersecurity and identity management tools.
The Launch of Zuma
The newly launched Zuma platform provides organizations with a tool to adopt and scale artificial intelligence. Saviynt developed this solution after working closely with several global organizations. Consequently, the platform addresses the rapid multiplication of machine identities like large language models.
“AI is fundamentally changing the identity security equation. Enterprises are no longer securing only human users. They are now responsible for AI agents and non-human identities that can decide and access systems at machine speed.”
Sachin Nayyar, CEO of Saviynt
Addressing AI Identity Security Challenges
Legacy identity solutions often fail to track where machine agents are located. Furthermore, security teams struggle to implement effective AI identity security across their networks. The Zuma platform resolves these issues through a unified control plane.
Three Core Components of Zuma
The platform operates through three distinct components to manage risk. First, Zuma Insights continuously discovers machine identities and large language models across the enterprise. Second, Zuma Access evaluates agent intent and permissions at runtime to prevent privilege misuse.
Finally, Zuma Governance establishes ownership, lifecycle controls, and audit-ready evidence for machine identities. This component helps organizations close governance gaps on unmanaged agents. As a result, companies can hold machine identities to strong accountability standards.
Industry Adoption and Future Outlook
Sarita Dsouza, IAM Leader at Cytiva, stated that machine identities do not fit into legacy processes. She explained that security teams need discovery, ownership, and runtime controls to manage these risks. Notably, the Zuma platform is now available for organizations seeking to implement these controls.
“The challenge is that AI agents and non-human identities don’t fit neatly into legacy identity processes. Saviynt is bringing the right pieces together – discovery, ownership, runtime controls, and governance.”
Sarita Dsouza, IAM Leader, Cytiva
As organizations continue their digital transformation, implementing AI identity security within their enterprise apps will remain a priority. Saviynt plans to help brands reduce risk and support compliance through its updated platform. Ultimately, the company aims to enable safer deployment of artificial intelligence technologies.
