Agentic IAM solutions enable you to register agents as first-class identities, as you would a human user. This allows you to manage their lifecycle, enforce least-privilege authorization at runtime, grant human-in-the-loop approvals, as well as ensuring full auditability.
Enterprises are routinely using AI agents to read emails, query databases, call APIs, and act autonomously. Using AI agents to carry out this work can bring real benefits, but also real risks. Most of these agents are never registered with the identity provider, they have no accountable owner, and hold credentials that are never reviewed.
The Agentic IAM classification has some overlap with Non-Human Identities (NHI), which covers service accounts, keys, and secrets more broadly. AI identities operate very differently to standard NHIs, so require their own, specific forms of verification. This is mainly due to the speed that AI Agents work at.
Traditional tools were not built to manage agents working at machine speed, that can spawn other agents or operate on behalf of users. Other challenges include the advent of shadow agents; developers and business users will create agents using no-code/low-code methods, to manage their own workload. Security teams won’t have any knowledge that these agents even exist, making their management more complex.
We’ve evaluated ten of the most popular agentic IAM solutions on the market, comparing key features and capabilities, to help you decide the best fit for your team.
Agents, like other users, are able to take actions and log into systems. Therefore, their identities must to be managed, with actions logged. This will ensure they have the minimum access required to do the job and can be off-boarded once it’s done. Agentic IAM is identity management that is designed specifically to address the risks that AI Agents are susceptible to.
Agentic IAM ensures that AI Agents are behaving as you’d expect them to, based on their permissions, role, and security infrastructure. Their core functions include identity issuance/registration, ownership mapping to accountable humans, delegated authority, runtime authorization at each tool/API call, scoped credentials, shadow agent discovery, and observability of agent actions.
This is a rapidly growing sector, with industry standards still emerging and evolving. Some of the most referenced include OAuth 2.1 + PKCE, MCP, and Cross App Access (XAA), SPIFFE/SVID. Depending on your sector, geography, usage, and ambition, you will need to be familiar with these standards.
| Product | Best For | Agent Identity & Registration | Lifecycle Management | Runtime / Least-Privilege Authorization | Human-in-the-Loop Controls | Agent Discovery |
|---|---|---|---|---|---|---|
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1. JumpCloud
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SMEs/mid-market wanting agent governance unified with human IAM and device management
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Yes
|
Yes
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Yes
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Yes
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Yes
|
|
2. Aembit
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Engineering teams brokering secretless agent-to-API access
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Yes
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Yes
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Yes
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Yes
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Yes
|
|
3. Cisco (Duo Agentic Identity)
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Enterprises wanting agent identity tied into network-level visibility
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Yes
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Yes
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Yes
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Yes
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Yes
|
|
4. Descope
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Developers adding auth to AI agents and MCP servers; CIAM teams
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Yes
|
Yes
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Yes
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Yes
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No
|
|
5. Microsoft Entra Agent ID
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Microsoft-centric enterprises; Copilot/Azure AI estates
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Yes
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Yes
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Yes
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Yes
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Yes
|
|
6. Okta
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Okta workforce customers; orgs backing open standards (XAA)
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Yes
|
Yes
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Yes
|
Yes
|
Yes
|
|
7. Palo Alto Networks (Idira)
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Large enterprises consolidating identity + AI security on one platform
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Yes
|
Yes
|
Yes
|
Yes
|
Yes
|
|
8. Ping Identity
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Enterprises wanting runtime enforcement + agent detection from an established IAM vendor
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Yes
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Yes
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Yes
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Yes
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Yes
|
|
9. Saviynt
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Governance-first enterprises; existing Saviynt IGA customers
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Yes
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Yes
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Yes
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Yes
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Yes
|
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10. Strata Identity
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Multi-IdP/hybrid enterprises wanting orchestration, not rip-and-replace
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Yes
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Yes
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Yes
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Yes
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Yes
|
We evaluated each Agentic IAM platform across a range of features, ensuring that essential technical capabilities were present. We ensured that agents can be created/onboarded as first class identities and we assessed lifecycle management, ensuring that entitlement changes, expiry, and decommissioning were all suitable. We also looked at how well the platforms identified shadow agents. Read our full methodology
Best for SMEs/mid-market wanting agent governance unified with human IAM and device management
JumpCloud is an open directory platform built for humans, machines and agents. It offers a complete identity stack, including single sign-on (SSO), multi-factor authentication (MFA), password management and cross-OS device management capabilities. JumpCloud offers a dedicated agentic IAM platform which provides a control plane for all human, non-human and AI agent, across all operating systems or LLMs. It automatically discovers, onboards and registers all non-human and AI profiles as full corporate identities, with credentials that are mapped for the specific use cases they are required for. This allows teams to discover, manage and govern AI usage.
JumpCloud offers a complete agentic IAM implementation for SMEs and mid-market organizations. The ability to manage all identities, device, and agent governance within a single console makes oversight straightforward and effective. JumpCloud integrates across identity providers (idPs) and AI tools and secures gaps in your agentic governance. It’s a strong option for mid-sized SMBs up to enterprise sized teams looking for an all-in-one agentic IAM platform.
Best for Engineering teams brokering secretless agent-to-API access
Aembit is a workload and agentic AI IAM platform that can create and enforce policies for AI agents to access MCP services and resources. The platform delivers a secure and simple way to enable policy-based access to AI agents, based on zero trust principles. Aembit also provides conditional access policies for NHIs using third party integrations, including enabling MFA-like capabilities even where the original service doesn’t support them. Aembit describes itself as Okta for workloads, machines and non-human identities.
This is one of the strongest picks for workload identity management. It delivers Agent-to-API and Agent-to-tool access, without using standing credentials. The platform provides complete visibility into agent activities, with policy enforcement that can scale across multiple MCP servers with a centralized control plane. The solution is ideal for reducing the time spent on authorizing AI Agents, whilst eliminating hard-coded and stored secrets in apps.
Best for Enterprises wanting agent identity tied into network-level visibility
Cisco’s Duo is a full identity and access management platform, built originally to cover human identities with a popular MFA platform. In 2026, Duo launched Duo Agentic Identity, designed to find agent activity, govern agent identities, and enforce the principle of least privilege across agentic workflows. It extends Cisco Intelligence to create a complete inventory of active AI agents across your environment, including shadow agents, and then allows you to govern them with tight controls on privileges.
Duo provides strong agent governance controls and visibility into how agentic workloads are operating in your organization. It enforces zero trust policies and controls and can help to facilitate more secure AI deployments. We think it’s a strong choice for SMBs to mid-market enterprises looking to build out secure agentic workflows. A benefit of being incorporated with Cisco’s wider platform is that its coverage spans identity and network. This means that it can surface agents that have not registered with any IdP.
Best for Developers adding auth to AI agents and MCP servers; CIAM teams
Descope provides a customer and agentic identity platform from the founders of Demisto. They also launched the Agentic Identity Hub in 2025, with 2.0 following in 2026. This platform is best suited for developer-facing needs. It delivers no-code/low-code authorization for AI agents, MCP servers, and connected apps. The platform works by providing each agent with short-lived, tightly scoped credentials that grant it the minim level of permissions required. The platform builds on top of existing IdP, meaning that you do not need to completely rebuild your workforce IAM.
If you are looking for a way of building secure auth into agents and MCP servers, Descope is a great solution. If you’re looking for a way to govern agentic workforce, this may not be the best solution. The transparent pricing model (with a genuine free tier) helps when evaluating the solution. Descope also pushes back against reusing existing human credentials on agents as these give overly broad permissions that are difficult to revoke dynamically. API keys and service accounts, however, are static and cannot request elevated permission access, ensuring that your environment remains consistent.
Best for Microsoft-centric enterprises; Copilot/Azure AI estates
Entra Agent ID expands Microsoft Entra (formerly Azure AD) to ensure that AI agents have purpose built, specific identity controls in place. The platform effectively authenticates, authorizes, governs, and protects these identities. Agent ID sits within Agent 365, Microsoft’s comprehensive control plane for agents, extending all the capabilities you would expect and tailoring them for agents. The platform allows you to assign every agent an identity, operating at scale with ease. This, in turn allows you to manage specific policies, authentication, and permissions. Network controls log agent network activity, apply web categorization to MCPs and APIs, and can restrict file transfer.
For organizations already engrained within the Microsoft ecosystem, Entra Agent ID makes complete sense. It will be easy to deploy and will expand your current offering. We like that agent identities sit inside the same conditional access and governance framework as human and machine identities, rather than requiring a separate system. Something to be aware of is that Agent 365 at GA only covers agents operating on a user’s behalf. Fully autonomous agents remain in a separate preview program. Thi licensing model is worth considering before you commit. Agent 365 currently sits at $15/user/month or can be bundled in E7 at $99/user/month.
Best for Okta workforce customers; orgs backing open standards (XAA)
Okta is a leading workforce identity management platform. Okta addresses the demands of authorizing AI at machine speed by using a centralized policy layer, with Cross App Access (XAA) at its heart. This helps to replace long-lived tokens and repetitive consent screens with a streamlined means of approving access. When making governance decisions, Okta is built around questioning where the agents are, what can they access, and what can they do. Their product offering is broad, covering Okta for AI Agents (for workforce), Auth0 for AI Agents (customer-facing apps), and the XAA protocol.
Okta already plays a leading role in identity governance. With their focus on building XAA, they are attempting to define the next phase of this evolution. If XAA does achieve cross-vendor adoption, Okta will be in pole position, with customers the first to benefit. Okta has a roadmap for how capabilities will evolve over time, highlighting that this is an evolving and developing sector. Their focus is on ensuring that human and agent identities are managed in the same way, meaning that security permissions are unified and equivalent.
Best for Large enterprises consolidating identity + AI security on one platform
Idira was launched in 2026, building on Palo Alto’s CyberArk acquisition. This platform delivers modern PAM, machine identity, and agentic identity security from a single platform. It is able to integrate an AI Gateway (Prisma AIRS 3.0), enforcing authentication and least privilege on every autonomous agent action. One of the areas Idira is specifically designed to address is privilege drift, where agents accumulate standing access well beyond what a task actually requires.
The acquisition of CyberArk by Palo Alto Networks marks one of the biggest consolidations within identity security. It’s great for large enterprises or those already familiar with either of the two companies. Idira delivers PAM capabilities across agents, as it would with any other identity. The focus on permission drift and identifying shadow AI addresses two areas that many other providers miss. Palo Alto’s free virtual agent identity workshop with maturity assessment is a great place to start. Something to be aware of is that the Idira brand only launched in May 2026, and the AI Agent Gateway component within Prisma AIRS was still described as limited preview at launch, so expect some capabilities to mature over the rest of 2026. Pricing isn’t published and is sold on a custom enterprise basis.
Best for Enterprises wanting runtime enforcement + agent detection from an established IAM vendor
Recently launched, Ping Identity for AI is Ping’s framework for managing and controlling AI agents within large organizations. The platform is made up of three components: Agent IAM Core, Agent Gateway, and Agent Detection. Together, these are able to establish agent identity, enforce delegated authority, and detect agentic activity. Ping Identity ensures that every agent action is evaluated, logged, and enforced against a policy in real time. This gives you assurance that security is being enforced effectively.
Ping delivers a complete runtime-enforcement architecture, building on their strong track record within the IAM space. The platform is well suited to detect unknown agents, with the gateway allowing the authorization of known AI identities. This solution suits large organizations, with smaller teams finding the stack more comprehensive than they need. Ping delivers automated provisioning, tailored access delegation, centralized controls, and a clear deprovisioning process. This helps to ensure that agentic identity is being treated properly throughout the lifecycle.
Best for Governance-first enterprises; existing Saviynt IGA customers
Saviynt’s identity security platform launched earlier this year, extending their converged IGA governance platform to autonomous agents. The company takes a governance-first angle, providing continuous visibility, lifecycle governance, and runtime authorization, alongside human identities. The PAM module enforces zero standing privilege, with just-in-time and time-bound access when approving access. The authorization checks also evaluate the context and intent around a request to ensure it is valid and legitimate.
This is a great solution for those focused on governance. For organizations needing strict compliance, certification, and auditable evidence of control over agent access, Saviynt’s IGA solution should be on the shortlist. Saviynt secures 100 million identities globally, scaling to cover autonomous agents as required. Intent-aware authorization is a genuine step ahead of authorization models that rely on identity and policy alone. With that said, some users report implementation complexity and a learning curve that requires dedicated technical resources, so factor in onboarding time when evaluating the solution.
Best for Multi-IdP/hybrid enterprises wanting orchestration, not rip-and-replace
Strata is an identity orchestration specialist, known for their Maverics platform. This took an innovative approach to identity by using an abstraction layer. This means that identities can be secured regardless of IdP and environment, meaning you don’t need to rebuild your Identity program from the ground up. Strata extended Maverics to cover AI agent identity orchestration in July 2025, then added an AI Identity Gateway and validation sandbox in November 2025 for runtime policy enforcement.
This is a strong fit for complex, diverse environments running multiple IdPs and hybrid applications that aren’t looking to consolidate onto a single vendor. The orchestration approach means agent identity is addressed consistently across the estate, and just-in-time provisioning keeps permissions scoped and time-bound rather than standing. The platform is also designed to discover all agents across all frameworks, dynamically registering them, with just-in-time permissions. It ensures that tasks are policy based, scoped, and delegated to the right identity.
Beyond are top 10, we'd recommend looking at some of the following solutions.
A developer focused agent identity management platform
Renowned Falcon identity protection is extended to AI Agents
Delivers agent identity as part of a SASE platform
Facilitates agent security posture to complement IAM features
| Product | Starting Price | Link |
|---|---|---|
|
JumpCloud
|
Free tier (up to 10 users/10 devices). Platform tiers from $9/user/month (Device Management) to $24/user/month (Platform Prime); ~18% annual-billing discount. Agentic IAM pricing not yet published
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Aembit
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Free plan: up to 10 workloads or 3 AI agents, 10 access policies or 5 MCP authorization policies, 24-hour log retention. Paid tiers custom
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Cisco (Duo Agentic Identity)
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Duo editions from ~$3/user/month (Essentials) to ~$9/user/month (Premier) — writer to verify current tiers. Agentic Identity packaging/pricing not yet published — contact sales
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Descope
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Free Forever: 7,500 MAUs, 10 tenants, 3 SSO connections. Pro from $249/month (10,000 MAUs, billed annually); Growth from $799/month (25,000 MAUs, SCIM, bot protection); Enterprise custom
|
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Microsoft Entra Agent ID
|
Agent ID platform available to all Entra customers. Agent 365: $15/user/month (GA 1 May 2026), or included in Microsoft 365 E7 at $99/user/month. Extending Entra security to agents requires M365 E7, or E5 plus an Agent 365 license
|
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Okta
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Workforce products priced per user per month (e.g., SSO historically from ~$6/user/month) — writer to verify current list pricing. XAA included for Workforce customers via OIN from August 2026.
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Palo Alto Networks (Idira)
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Custom quote only — enterprise platform pricing
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Ping Identity
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Custom quote; PingOne workforce plans historically per-user per-month — writer to verify. Identity for AI pricing not published.
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Saviynt
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Custom quote only — subscription per identity, sold via Saviynt and partners.
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Strata Identity
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Custom quote only; agent product launched via early access — confirm current packaging.
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When selecting an Agentic IAM solution, we’d recommend looking for the following features:
While there are many differences between human and machine identities, they all need to be managed in an effective way that standardizes requirements across the board. Treating AI and LLMs as first-class identities means that they will be subject to the same rigorous controls, governance, and lifecycle management as human employees.
It is easier than ever to create a new agent to streamline part of your workflow. It’s so easy that many employees may do this without their SOC ever knowing about it. That is why it’s so important that identities are managed through their entire lifecycle. From creation, through to their usage and permissions while active, then their decommissioning. Without effective decommissioning, agents are easily forgotten about, only to be exploited by an opportunistic attacker.
When it comes to granting permissions to your agents, this should be tightly scoped to the task at hand, with reasonable limits regarding duration and access entitlements. An agent should not receive the same level of privilege at every call, but should reflect the task that is being completed.
Of course, your agent needs the right level of permissions to carry out a task. But just because it needs those permissions once, does not mean that those permissions are required in perpetuity. Privilege should be tightly monitored and linked to the task in question. It should be removed after a set time, or that task is complete.
The great thing about AI Agents is that they can run without needing continuous human intervention. However, to ensure that this does not result in further issues, it is essentials that humans play a role in approving and authorizing risky activities. This human-in-the-loop process ensures that Agents
With the widespread availability of AI tools, creating agents as part of workflows is easier than ever before. The issues is that security teams don’t have oversight of these. These unauthorized (though not necessarily malicious) agents are known as shadow agents. An IAM solution needs to be able to identify these shadow agents to ensure that they are properly managed.
This is a fast moving area, with different providers offering different services and capabilities. We are starting to see policy frameworks and standards emerge, giving security teams ways of managing Agentic AI. There is not a single framework that is considered the most effective yet, but this will evolve with time.
It is essential that you are able to compile a comprehensive log of Agentic activity, allowing you to identify the moment that an agent was given too much privilege, in the review process. A comprehensive log ensures that you can prove compliance with best practices for auditing purposes.
So that you don’t need to rebuild your entire technology stack, select a solution that works with your environment. It should align management processes for human and agentic identities, ensuring that both are held to high standards
AI Agents are fast becoming an integral part of the business ecosystem. Their identity is growing faster than any other identity type. Due to this fact alone, it is essential that you treat the risks appropriately and set up dedicated infrastructure.
Further reading on identity and access management from Expert Insights — buyers' guides, comparison articles, and platform-specific shortlists.
Alex is an experienced journalist and content editor. He researches, writes, factchecks and edits articles relating to B2B cyber security and technology solutions, working alongside software experts.
Alex was awarded a First Class MA (Hons) in English and Scottish Literature by the University of Edinburgh.