Saviynt launches Zuma AI identity security platform

Saviynt has launched Zuma, an AI identity security platform, as organisations increase their use of AI agents and other non-human identities.

The launch came alongside updated business figures from the identity security provider, which said it has exceeded USD $300 million in annual recurring revenue. It also reported bookings growth of more than 80% and customer retention of 96%.

Zuma is aimed at companies seeking to track and control AI agents, large language models, AI-based applications, and other machine identities across their operations. Many of these systems are being adopted faster than existing identity and governance processes can keep up with.

The platform is designed to address core security and oversight questions for businesses deploying AI, including where AI agents are located, who created them, what they are doing, who oversees them, and what access they have to data and applications.

Market Shift

The release reflects a broader shift in security priorities as companies move from experimenting with generative AI to wider deployment of agentic AI systems. In sectors such as healthcare and finance, where AI tools may handle sensitive information or interact with core systems, governance of non-human identities has become more urgent.

Saviynt said Zuma combines three elements: discovery, access control, and governance. Under the product structure it described, Zuma Insights is intended to identify AI agents and other non-human identities across an organisation and show ownership, access patterns, and lifecycle changes.

Zuma Access is intended to assess the intent, context, permissions, and risk associated with an AI agent at runtime before allowing it to carry out an action. Zuma Governance is intended to assign ownership, apply lifecycle controls, support access reviews, and generate audit records for AI and non-human identities.

Saviynt argues that existing identity products and broader cybersecurity tools are not well suited to AI systems that can make decisions and interact with applications at machine speed. That gap has left many organisations without a clear framework for managing AI identities with the same discipline applied to human users.

"AI is fundamentally changing the identity security equation," said Sachin Nayyar, Chief Executive Officer, Saviynt.

"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. Saviynt's momentum reflects the urgency we are seeing from customers around the world, and Zuma represents a major step forward in helping them embrace AI with confidence and control," Nayyar said.

Customer View

Saviynt also cited demand from large organisations trying to expand AI use without losing oversight of access and accountability. That challenge has become more pronounced as AI tools are embedded in workflows outside traditional IT teams.

"Like many large enterprises, we are looking at how to safely scale AI across the business without losing visibility or control," said Sarita Dsouza, IAM Leader, Cytiva, a Danaher company.

"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-in a way that maps to how security teams actually need to manage this risk," Dsouza said.

Saviynt said Zuma was developed through work with large organisations already dealing with a growing number of AI agents and machine identities across business functions. According to the company, these identities are often introduced without effective oversight, creating governance gaps and the risk of unmanaged or orphaned access.

The launch adds to growing market focus on identity security as a foundation for AI governance. As regulators and corporate boards pay closer attention to cyber resilience and the controls surrounding AI deployment, suppliers are increasingly framing identity management as a way to establish accountability over automated systems.

Nayyar said customers were asking for something broader than visibility alone. "Customers are telling us they need more than another dashboard," he said. "They need a control plane that can help them see every AI and non-human identity, govern it with accountability, and protect the business in real time. That is the problem Zuma was built to solve."