Agent Identity Security
Take control of every AI agent
Agent Identity Security brings AI agents, their users, and the tools they access together in one governed view.
Challenge & solution
Why AI agents need governance
AI is both a disruptor and a solution for cyber resiliency. Without securing these AI agents, your organization is exposed to critical security, audit, and operational gaps.
AI agent identity gaps
AI agents handle sensitive information and can reveal credentials, leading to data leaks
Many AI agents are over-permissioned or unknown to your organization
Without controls, AI agents can violate global regulations
AI agents often act autonomously with broad access, posing as insider threats if unmonitored
Unified AI agent governance
Aggregate AI agents from clouds and agent platforms such as AWS, Azure, and Google Cloud Platform (GCP)
Keep ownership aligned with role changes using automated updates
Support multiple owners for shared accountability on machine identities
Review AI agents’ access and revoke as needed
Report
AI agents are driving growth- but who’s in control?
The rise of AI-driven intelligence and autonomy is unlocking new efficiencies, yet ungoverned AI agents are exposing organizations to security and compliance risks. Read about our global survey findings on AI agent adoption, risk, and governance.
Use Cases
What you can do with Agent Identity Security
Bring AI agents, their users, and their tools together under one view with Agent Identity Security—ensuring accountability and governance.
All your AI agents in one place
Directly connect to AWS, Microsoft Azure, Google Cloud Platform (GCP), and other systems to automatically onboard AI agents into Agent Identity Security. Each agent is registered with a unique identity enriched with full business and access context, enabling rapid governance and security from day one. Give stakeholders clear visibility into their AI agents and position your organization to protect every identity across the enterprise.
Assign clear ownership to every AI agent
Designate one or multiple human owners for each AI agent to ensure accountability and traceability. By anchoring agents within established organizational structures, ownership provides the foundation for accurate access reviews and informed decision-making. With built-in succession planning, ownership remains secure and seamless- even as roles shift or responsibilities change- so governance never falls through the cracks.
Prove AI agent access is appropriate
Regularly review AI agents’ access to ensure it aligns with business needs and security policies. Quickly identify and revoke inappropriate or excessive permissions to reduce risk. Extend oversight further by detecting when human identities gain new entitlements or data access through AI agents, giving you full visibility into both direct and indirect access pathways.
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Suites
Start your identity security journey today
SailPoint Identity Security Cloud enables organization to manage and secure real-time access to critical data and applications for every enterprise identity with an intelligent and unified approach.
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Take your identity security solution even further
The SailPoint Identity Security Cloud delivers the essentials for most organizations. SailPoint also offers advanced capabilities for specific needs.
Related industries
Where AI agent identity security matters most
Industries with complex IT environments and high automation levels face the greatest AI agent identity risks. Here’s how Agent Identity Security helps organizations take back control.
Healthcare
Unsecured AI agents risk patient data and care. Learn how Agent Identity Security can assist you to stay secure as healthcare leans on AI.
Learn moreFinancial services
Automation powers finance—from fraud checks to instant payments. Agent Identity Security keeps AI agents secure and governed.
Learn moreManufacturing
Govern AI agents embedded in supply chains, production systems, and partner integrations to increase visibility and reduce risk.
Learn morefaq
Agent Identity Security: What to know
What is an AI agent identity?
An AI agent identity represents a system that autonomously performs tasks to achieve goals, make decisions, and drive actions based on available data and tools. Also known as agentic AI, or simply AI agents.
AI agents interact with its environment, collect data, and use the data to perform tasks that meet pre-determined goals. Although humans set the goals, an AI agent independently chooses the actions it needs to perform in order to achieve those goals.
How are AI agent identities different from human and machine identities?
Human identities are tied to employees or contractors and enriched with context like role, manager, and employment status. Machine identities, by contrast, lack that structure—they don’t follow HR processes, often lack clear ownership, and are rarely reviewed once created. This makes them more difficult to govern and more attractive to attackers.
AI agents also carry identities, but their nature is distinct. While humans, machines, and AI agents all access resources and require authentication, AI agents introduce new patterns of creation, ownership, and usage. Governing them effectively requires approaches tailored to their unique behaviors and risks.
Why do AI agent identities pose such a big security risk?
AI agents often handle sensitive information, such as financial or customer data. Without governance, they can access unauthorized systems or be tricked into revealing credentials, leading to data leaks. This is exacerbated by over-permissioning, where agents become high-privilege actors with unmonitored access to critical networks. Overall, data privacy remains the top obstacle for organizations adopting AI agents.
Additionally, traditional security models break down with AI agents, as they execute non-deterministic actions, making them prime targets for exploitation or hacking.
What type of risks do AI agents pose?
Without proactive measures, agents amplify existing issues, turning potential strategic assets into liabilities:
- Agents may mishandle sensitive data or make misaligned decisions.
- AI agents can violate regulations leading to fines and legal actions.
- AI agents act as autonomous "digital insiders" with broad access, posing insider threats if unmonitored.
- Incidents from ungoverned agents can harm an organization's reputation and cause operational chaos.
How does ownership work for AI agent identities?
Agent Identity Security allows you to assign and document ownership for each AI agent, something most organizations struggle to do today. Identities can be aggregated from clouds and agent platforms, including AWS, Microsoft Azure, and Google Cloud Platform (GCP). One or multiple owners can be assigned as the owner of each agent.
This ownership data is maintained for audit purposes and succession planning, so that when an owner changes roles or leaves the company, ownership can be quickly reassigned without losing visibility or control.
Can Agent Identity Security manage human and AI agent identities together?
Yes. Agent Identity Security is part of the SailPoint Identity Security Cloud, built on the Atlas platform. That means you can govern human, non-employee, machine, and agent identities within one unified experience. This enables consistent policy enforcement, streamlined certifications, and allows for complete lifecycle control through a single governance platform. This unified approach reduces complexity, closes security gaps, and simplifies compliance across all identity types.
Does Agent Identity Security govern the tools that AI agents use?
Yes, Agent Identity Security allows you to govern the service accounts that each AI agent utilizes, from creation to retirement. For example, an AI-powered HR chatbot in Microsoft Teams uses service accounts to connect to systems like Workday or ServiceNow, giving it access to sensitive employee data. Without proper tool governance, the accounts that the AI agent utilizes could become risks or targets for attackers.
Does SailPoint have an MCP server?
Yes, SailPoint offers an MCP Server for Identity Security Cloud customers as part of SailPoint Atlas.
SailPoint MCP Server enables organizations to extend identity security into AI-native environments by enabling secure interaction between third-party AI agents and the SailPoint Atlas platform. The MCP Server provides a standardized bridge that translates agent requests into SailPoint API calls, supporting automation, auditability, and governance at scale.