Saviynt, the AI-era identity security platform, introduced a new identity security system designed to manage and secure AI agents, as enterprises face rising risks from unchecked automation.
Saviynt Identity Security for AI solution gives organizations visibility and control over both human users and non-human identities (NHIs), including autonomous AI agents. It addresses what Saviynt described as a major gap in enterprise security, with 91% of organizations exposed to risks due to limited oversight of AI-driven systems.
AI agents are now being used to write code, process financial transactions, respond to customers, and run business workflows. However, many companies lack tools to track what these agents access or how they behave once deployed.
“AI agents don’t behave like users,” said Vibhuti Sinha, chief product officer of Saviynt. “They act autonomously, access systems continuously, and make decisions in real time. Traditional identity security was never built for that. We’ve spent the last two years working alongside enterprises already running agents in production, and what they needed wasn’t a policy update; it was a new control plane. That’s what we built.”
Saviynt said its platform can discover, register, and monitor AI agents in real time across environments such as Amazon Bedrock, Microsoft Copilot Studio, Google Vertex AI, ServiceNow AI, and Salesforce Agentforce.
The system is built on three key functions: continuous monitoring of AI agents and risks, lifecycle management that assigns ownership to every agent, and real-time access controls that can block unauthorized actions before damage occurs.
Saviynt developed the platform with companies already using AI agents in live environments, including The Auto Club, Hertz, and UKG.
The solution also integrates risk signals from cybersecurity firms such as CrowdStrike, Zscaler, Wiz, and Cyera to give security teams a broader view of AI-related threats.
Saviynt said the platform supports developers and business users across coding levels, from pro-code to no-code, as enterprises scale their use of AI.