Saviynt has introduced a new identity security solution aimed at overseeing AI agents in addition to human and non-human identities within the enterprise environment.
This move comes as part of addressing an emerging security issue in enterprise AI deployments, where autonomous agents function rapidly but often outside established identity and access management (IAM) systems.
Saviynt reports that 91% of companies are currently exposed to unchecked risks due to unregulated activity by AI agents. These agents handle tasks such as coding, financial transactions, customer responses, and business process coordination. However, many organizations do not possess the necessary tools to oversee or limit these agents once they have been deployed.
A three-pronged governance framework
The platform is structured around three main functionalities. The first component involves Identity Security Posture Management (ISPM) for AI, which enables the continuous monitoring and identification of all autonomous agents, highlighting real-time risks and excessive privileges. The second element is Identity Lifecycle Management, ensuring that each agent’s lifecycle—from registration to decommissioning—is managed with clear accountability assigned throughout its lifespan. The third component is an Agent Access Gateway, evaluating every interaction in real time to block unauthorized activities, whether between agents or between agents and enterprise applications.
The solution integrates with leading AI development platforms like Amazon Bedrock, Microsoft Copilot Studio, Google Vertex AI, ServiceNow AI, and Salesforce Agentforce. It also incorporates external risk signals from security partners such as CrowdStrike, Zscaler, Wiz, and Cyera, offering a more comprehensive view of AI-related risks within the infrastructure to security teams.
Saviynt developed this platform in collaboration with several enterprises currently deploying agents in production environments, including Hertz, The Auto Club Group, and UKG. These organizations acted as design partners, helping to tailor the platform to meet the operational needs of Fortune 500 companies.
Filling the governance gap in enterprise AI
This launch underscores a growing challenge in enterprise AI adoption: the rate at which AI agents are being implemented has outpaced traditional IAM infrastructure, which was originally designed for human users and static workflows. Legacy IAM systems, relying on static access controls and periodic reviews, struggle to manage environments where autonomous decisions are made in real time.
Saviynt’s approach treats AI agents with the same level of governance oversight applied to human identities, a critical distinction as regulatory scrutiny intensifies globally, particularly in regions like the EU. The AI Act introduces risk-based requirements for automated decision-making systems within enterprise settings.
The platform caters to various developer skill levels, ranging from experienced code writers to less technical business users, reflecting diverse deployment practices across different organizations today.
