Top 8 Identity and Access Management Tools for AI Agents in 2026

Identity and access management was built for humans logging in to apps. Over time, it stretched to cover service accounts holding long-lived API keys. Neither model holds up for AI agents.

Agents aren't users. They aren't service accounts. They're software that decides what to do, spawns sub-agents to carry out the work, calls tools across multiple SaaS apps in seconds, and disappears when the task is done. The credentials they need are scoped to a task, not a role. The actions they take need policy evaluation at the moment of execution, not provisioning approval six weeks earlier. Most existing IAM stacks weren't designed for any of that.

A new generation of platforms has built around that reality. Most are recent. Many are well-funded. A few are already inside acquisitions: Cisco announced a $400M acquisition of Astrix Security in early May 2026. The category goes by several names: agentic identity, AI agent IAM, non-human identity for AI, agentic access management. The substance is consistent. It's identity for agents, with everything that follows from treating an agent as a first-class identity rather than an exception inside a human IAM system.

This guide covers the 8 platforms worth evaluating. Cakewalk is first because it ships purpose-built AI agent access management as a dedicated product with free early access, with a policy-first runtime gateway, ephemeral credentials, and unified governance for human and agent identities in a single platform. The other 7 are pure-play or near-pure-play agentic identity vendors evaluated on their actual coverage and trade-offs.

1What "Identity and Access Management for AI Agents" Really Means

Worth pinning down. Traditional IAM has three layers: authentication (who are you), authorization (what can you do), and lifecycle management (when does that change). For agents, every layer is different.

Authentication. Agents don't enter passwords. They authenticate through service tokens, OAuth flows on behalf of users, MCP server handshakes, or workload identity assertions. A useful IAM platform for agents understands these methods and treats agents as identities in their own right, with provenance you can trace back to the human who delegated the task.

Authorization. A human user gets a role and a set of entitlements, generally for as long as they hold the job. An agent should get permissions scoped to one task, evaluated at runtime, expiring on completion. "Access to Salesforce" is the wrong abstraction. "Update one opportunity in Salesforce, on behalf of this specific user, for the next 90 seconds" is closer.

Lifecycle management. Human employees join, change roles, and leave. Agents spawn, do something, and die, often within seconds. Lifecycle for agents is a runtime question, not a quarterly review. Discovery, provisioning, monitoring, and decommissioning have to be continuous and automated, because there's no manager to ask.

The platforms in this guide approach these three layers from different starting points. Some come from non-human identity security. Some come from workload identity. Some come from human IGA and are extending into agents. Cakewalk is the platform built for both humans and agents in a single system, which matters more than it sounds because the day-to-day reality of most organizations is that the two are deeply intertwined: agents act on behalf of humans, and the delegation chain is the audit trail.

2What to Look for in an AI Agent IAM Tool

A few selection criteria worth holding vendors to.

• Coverage of how agents actually authenticate. Not just "we discover agents." Does the platform speak OAuth, OIDC, service tokens, MCP, and workload identity? Can it tie an agent's actions back to the human who initiated the work?
• Runtime authorization at the tool-call level. Policy enforcement at the moment of action. Auto-approve, escalate, or deny based on action type, target system, user context, and risk. Not access reviews three months later.
• Just-in-time, ephemeral credentials. Zero standing access. Permissions granted for the task, scoped to the task, expired on completion. If the platform's answer is "long-lived API key, but stored in a vault," that's a vault, not agent IAM.
• Full audit trail with delegation chain. Who initiated the agent. Whose identity it acted under. Which policy fired. What changed. Exportable, queryable, audit-ready.
• Discovery beyond your IdP. SSO is the floor. Agents act through MCP servers, custom code, and third-party platforms your directory was never designed to inventory. The App and AI Discovery capability is one of the few that's built around this reality.
• Unified human and non-human governance. Almost every agent acts on behalf of a human. If those two identity worlds live in separate systems, your audit story has gaps and your access reviews can't trace delegation cleanly.
• Pricing that doesn't tax adoption. Agent counts grow fast. Per-agent pricing creates an incentive to under-register agents, which defeats the point. Free tiers, generous starting plans, or unified pricing models matter in this category.
• Time to value. Self-serve setup. Operating in days, not after a six-month implementation. Agent adoption isn't waiting for your procurement process.

3AI Agent IAM Platform Comparison

• Cakewalk. Best fit: mid-market B2B (100-800 employees). Approach: unified IAM for humans and AI agents with runtime policy gateway. Free tier: yes, free early access.
• Oasis Security. Best fit: regulated Fortune 500 enterprises. Approach: NHI-first platform with Agentic Access Management extension. Free tier: no (enterprise sales).
• Astrix Security. Best fit: Cisco-aligned enterprise buyers. Approach: NHI security and AI agent governance, being acquired by Cisco for $400M. Free tier: no (enterprise sales).
• Aembit. Best fit: engineering-led workload identity buyers. Approach: "IAM for agentic AI and workloads" with secretless access. Free tier: no (enterprise sales).
• Token Security. Best fit: identity-led security teams. Approach: identity-first AI security with MCP and AI agent lifecycle management. Free tier: partial (free Privilege Guardian tool).
• Opal Security. Best fit: engineering-heavy orgs. Approach: developer-native access governance with Paladin AI evaluation agent. Free tier: no (enterprise sales).
• ConductorOne. Best fit: US enterprise. Approach: AI Access Management product on top of NHI governance. Free tier: no (enterprise sales).
• Andromeda Security. Best fit: mid-market to enterprise unified-identity buyers. Approach: unified platform for humans, NHIs, and agentic AI. Free tier: no (enterprise sales).

4The 8 Best Identity and Access Management Tools for AI Agents

4.11. Cakewalk

Cakewalk is the agentic identity governance platform for fast-moving B2B companies, and the only platform on this list that ships AI agent access management as a dedicated product with free early access. For mid-market teams (roughly 100 to 800 employees), Cakewalk solves a problem the rest of the list either approaches from one side (humans, with agents bolted on) or the other (NHIs, with humans handled somewhere else): IAM for humans and AI agents in a single system, with the same policy engine, the same audit trail, and the same operating model.

The architecture is the differentiator. Cakewalk Gateway sits between agents and target apps. Every tool call gets evaluated against your policies before it executes. Auto-approve, escalate, or deny based on action type, user attributes, app category, and context. Decisions are deterministic. No LLM in the enforcement path. Permissions are granted just in time and scoped to the task; credentials expire on completion. Session ends, access ends, audit trail recorded.

A few capabilities worth flagging:

• Real-time discovery of every agent and AI tool across your stack, including the ones nobody told IT about. The App and AI Discovery layer covers managed and unmanaged apps, with 5,600+ integrations.
• Dynamic agent context. Static context limits results; Cakewalk adapts the agent's context boundary to each task. Agent Cake provisions the right tools mid-task, governed by your policies, with no human in the provisioning loop.
• Unified IAM for humans and AI agents. Cakewalk consolidates employees, contractors, and AI agents in one system of record. Every agent action ties back to the human who delegated it, with full identity provenance.
• Automated provisioning, user access reviews, and RBAC/ABAC for the human identity side, integrated with the same agent governance layer rather than sitting in a separate platform.
• Audit trail for every agent action. Full delegation chain: who initiated, which user's identity the agent acted under, which policy applied, what changed. Queryable, exportable, and built for SOC 2 and ISO 27001 audits.
• Self-serve setup. Most teams go live in 1-2 weeks.

Customers include ElevenLabs, Mentimeter, Almedia, PolyAI, FreeAgent, Cluepoints, Prolific, Dust, Manual, and Teamtailor. The platform is ISO 27001 certified, GDPR compliant, holds 5/5 stars on G2, and is supported by Google for Cybersecurity. The ElevenLabs case study describes the operating model in practice for a high-growth AI company.

The free early access for agent access management is the differentiator in this category. Every other platform on this list either charges enterprise pricing or buries agent governance inside a license tier that requires a sales call. Cakewalk's agent access management is in beta and free to sign up for now.

Best fit: mid-market B2B companies running on Google, Entra, or Okta as their IdP, looking for unified IAM that covers humans and AI agents in one platform. Companies preparing for SOC 2 or ISO 27001 audits, dealing with audit findings, or feeling enterprise sales pressure on access control should look here first.

Get free early access to Cakewalk or book a demo.

4.22. Oasis Security

Oasis Security brands its product as "Agentic Access Management" on the homepage, with a clear thesis: access control that understands intent, not just static roles. In March 2026 the company raised a $120M Series B led by Sequoia and Craft, on the back of customer momentum in regulated industries. Mars, Blue Cross Blue Shield, Citizens Financial, and BHG Financial are public references.

The platform's roots are in non-human identity inventory, ownership mapping, and lifecycle management for service accounts, secrets, and machine identities. The agentic access management product extends that foundation specifically to AI agents: inventory of every agent, automated agent identity provisioning, time-bound access scoped to intent, and policy enforcement across AWS, Azure, GCP, Snowflake, Databricks, GitHub, Salesforce, Office 365, Copilot, OpenAI, and the rest of the modern AI stack.

Customer outcomes Oasis publishes lean enterprise: a Fortune 50 healthcare provider avoiding a $3-5M HIPAA breach fine, a Fortune 500 insurance company capping an outage, a Fortune 300 CPG cutting attack surface 60% during a proof of value. SOC 2 and ISO 27001 certified.

Trade-offs: Oasis is enterprise-priced and enterprise-positioned. No free tier or self-serve trial. Pricing is sales-led only. The platform's center of gravity is NHI security for regulated Fortune 500 organizations, which is a strength if that's you and a different fit if you need unified human and agent governance in one platform.

Best fit: large regulated enterprises (finance, healthcare, insurance, energy) extending an existing NHI program to cover AI agents.

4.33. Astrix Security

Astrix Security is the non-human identity security platform that Cisco announced acquiring for $400M in early May 2026. The deal is meaningful context for any buyer evaluating Astrix today: the platform is being folded into Cisco Identity Intelligence, Duo IAM, and Secure Access, which signals strong long-term roadmap support but also platform churn during integration.

The product itself is a credible pure-play agentic identity platform. Astrix calls it the "Agent Control Plane" and positions specifically against the gap traditional IAM leaves: service accounts, API keys, OAuth tokens, and AI agents all sitting outside the identity perimeter. Discovery, governance, lifecycle management, threat detection, and secrets management across cloud, SaaS, and on-prem. The customer base includes Xerox and HubSpot.

The Astrix value proposition is built around enterprise NHI security with AI agent coverage layered on top, similar in shape to Oasis but with a deeper threat detection story. Cisco's acquisition rationale is essentially to plug agent identity into its existing zero-trust portfolio.

Trade-offs: the Cisco acquisition adds platform risk in the form of integration uncertainty over the next 12-18 months. Pricing is enterprise sales only. As a standalone platform, Astrix is strong; as part of Cisco's eventual integrated offering, the shape will change.

Best fit: enterprises already in the Cisco security ecosystem, or large organizations that want NHI security with a clear acquirer integration path.

4.44. Aembit

Aembit describes itself as "IAM for agentic AI and workloads" directly on the homepage, which is the most on-the-nose positioning in the category. The platform's roots are in workload identity (specifically secretless access for non-human workloads), and the product has extended naturally to cover AI agents as a particular kind of workload.

The architecture's distinguishing trait is secretless access. Instead of agents holding credentials they could leak, Aembit issues short-lived authentication tokens at runtime, with policies that evaluate identity, posture, and context before granting access. For engineering-led teams building agents in-house, the developer experience is strong: integrations are workload-friendly, policy-as-code is supported, and the architecture sits naturally inside zero-trust deployments.

The trade-off shows up on the human side. Aembit is built for workload-to-workload and agent-to-service access, not for human identity governance. Companies that need both human IGA and agent IAM in one platform will end up pairing Aembit with another tool, which adds operational overhead.

Best fit: engineering-led organizations with platform teams building AI agents and workloads in-house, needing secretless authentication and runtime policy enforcement.

4.55. Token Security

Token Security is a Tel Aviv-based pure-play non-human identity security platform with a strong AI agent angle. The company raised a $20M Series A from Notable Capital in January 2025, bringing total funding to $27M, and reported triple-digit revenue growth across 2025. Customers include HPE and Hibob. The company is backed by industry veterans including Kevin Mahaffey (Lookout founder) and Shlomo Kramer (Cato Networks co-founder).

The product covers discovery, lifecycle management, security posture, and threat detection for both machine identities and AI agents. Notable product launches in 2025 included the industry's first MCP server for agentic AI and NHI security (lets security teams query AI and machine identities through natural language), an AI Discovery Engine, an AI Agent Lifecycle Management capability for joiner-mover-leaver workflows applied to AI agents, and a free AI Privilege Guardian tool for right-sizing agent permissions.

The platform's framing is "identity-first AI security," with the consistent message that traditional IAM fails because it treats machines like people. The capability mix leans more toward visibility, governance, and posture than runtime enforcement at the tool-call level.

Trade-offs: enterprise sales only for the full platform. Strong on AI agent identity lifecycle and discovery, lighter on runtime policy enforcement at the action level compared to platforms with a dedicated gateway architecture.

Best fit: identity-led security teams wanting deep NHI and AI agent governance with strong MCP support.

4.66. Opal Security

Opal Security launched Paladin (an AI access evaluation agent) and three new AI-native capabilities in March 2026, positioning around access governance with AI as a first-class participant. The platform pairs deep developer-native integrations (Terraform, Slack, Jira, PagerDuty, GitHub) with just-in-time access controls and a Risk Layer for AI agent governance.

For engineering-heavy organizations, Opal is a strong fit. The developer tooling is among the best in this category, the JIT access controls genuinely reduce standing privileges, and Paladin brings an AI evaluation layer to access decisions. The 2025 Risk Layer added purpose-built governance for AI agents on top of the existing human access governance foundation.

Where Opal sits on the agentic identity spectrum is closer to "access governance platform with AI agent extensions" than pure-play agentic IAM. That's not a knock. For engineering-led teams whose primary pain is human access combined with growing AI agent governance needs, Opal covers both. It's just a different center of gravity from the NHI-first platforms.

Trade-offs: smaller connector library than enterprise IGA platforms. Enterprise sales motion. The platform's center of gravity is engineering-led security teams, which is a strength if that's your team and a limitation if it isn't.

Best fit: engineering-heavy organizations with platform engineering teams wanting governance to live close to infrastructure, with AI agent governance layered on top.

4.77. ConductorOne

ConductorOne is the enterprise identity governance platform that announced its AI Access Management product extension in March 2026, treating AI agents as first-class identities with credentials, policies, lifecycle states, and ownership. The company raised a $79M Series B in October 2025, led by Greycroft with CrowdStrike Falcon Fund participating.

The platform's strengths are the Unified Identity Graph (300+ connectors with real-time schema), 3,000+ hosted MCP servers built on the existing connector ecosystem, fine-grained tool-call authorization, credential vaulting, and a strong story around just-in-time access. The non-human identity governance layer launched in 2025 and now sits beneath the agent product.

ConductorOne grew from human IGA into AI agents, which gives the platform a more enterprise-ready governance story than pure-play agent platforms. The trade-off is that the AI Access Management product is newer than the underlying IGA layer, so the agent-specific capabilities are still maturing.

Trade-offs: enterprise-priced and enterprise-positioned. No free tier. Self-serve provisioning is real but the platform is built for organizations with dedicated identity teams. Mid-market companies often find themselves looking at price tags and connector counts they'll never use.

Best fit: US enterprises with mature identity programs already running AI agents at scale.

4.88. Andromeda Security

Andromeda Security is an AI-powered identity security platform that positions itself as "the pioneer in treating agentic AI as a full identity class." The company launched its "Galaxy" release in March 2026, extending continuous access intelligence and automated governance controls to AI agents alongside its existing human and NHI governance.

The platform's distinctive feature is the unified architecture for humans, NHIs, and AI agents, combined with AI-powered just-in-time access decisions driven by risk and behavioral context. Galaxy added universal agent discovery, agent access intelligence, omni-dimensional segregation of duties enforcement across all identity types, and automated ownership workflows for non-human identities. Andromeda reports doubling revenue every quarter for the past year, with customers including New American Funding.

Funding-wise Andromeda is smaller than the other platforms on this list, with $7M raised from the AWS and CrowdStrike Cybersecurity Accelerator, Sorenson Capital, and Lockstep (Palo Alto). The unified identity story is compelling but the platform is newer to market than Oasis or Astrix.

Trade-offs: smaller team and customer base than the better-funded competitors. Enterprise sales motion. The unified identity story is strongest where buyers haven't already committed to a separate human IGA platform.

Best fit: mid-market to enterprise organizations buying unified identity governance from a single platform, where AI agents are a meaningful (but not yet dominant) share of the identities under management.

5How to Choose the Right AI Agent IAM Platform

The decision depends on what kind of identity program you're trying to run and how AI agents fit into it.

If you're a fast-moving B2B company between 100 and 800 employees with AI agents already in production and audit conversations getting harder, Cakewalk is the most practical choice. Unified IAM for humans and AI agents, free early access, and deployment timelines measured in weeks rather than months. The architecture is purpose-built for agent access with runtime policy enforcement, ephemeral credentials, and full delegation traces.

If you're a regulated Fortune 500 with an existing NHI security program, Oasis Security and Astrix Security are the closest enterprise tier-up alternatives. Oasis is independent and well-funded. Astrix is mid-acquisition into Cisco, which is a long-term strength (Cisco distribution) and a short-term risk (integration uncertainty).

If your team is engineering-led and building agents in-house, Aembit's workload identity approach with secretless access is the natural fit, or Opal's developer-native access governance if you want broader human-plus-agent coverage on the same platform.

If you're an identity-led security team focused on visibility, lifecycle, and posture for the full non-human identity surface, Token Security has deep NHI and AI agent coverage with strong MCP support.

If you're a US enterprise with a mature identity team and an existing budget for AI-native identity, ConductorOne is the closest tier-up alternative with strong analyst recognition and a dedicated AI Access Management product.

If you want a unified platform that treats humans, NHIs, and agentic AI as one identity surface from day one, Andromeda Security's architecture is purpose-built for that. It's newer and smaller than the others, which is a feature (no legacy baggage) and a tradeoff (less proven at scale).

For most mid-market companies evaluating this seriously, the practical decision comes down to Cakewalk (purpose-built, free early access, weeks to roll out, unified humans and agents) and one of the enterprise NHI platforms if you have the security maturity and budget to absorb the implementation. Worth getting hands on at least two before signing.

Sign up for free early access to Cakewalk to see what unified IAM for humans and AI agents looks like running against your own environment.

6FAQ

6.1What is IAM for AI agents?

IAM for AI agents is identity and access management designed for autonomous software that acts on behalf of users. It covers three things that traditional IAM doesn't handle well: how agents authenticate (often through service tokens, OAuth flows, MCP handshakes, or workload identity assertions rather than passwords), how their actions are authorized at runtime (per tool call, scoped to a task, with ephemeral credentials), and how their lifecycle is managed (continuous discovery and automated decommissioning rather than quarterly access reviews). Cakewalk's AI agent access management product is one of the few platforms built specifically for this category.

6.2How is AI agent IAM different from non-human identity (NHI) management?

NHI management covers service accounts, API keys, machine identities, and other automated identities that have existed in IT environments for decades. AI agents are a subset of non-human identities, but they behave differently. Service accounts are deterministic: they do exactly what they were built to do. AI agents decide what to do, sometimes spawning sub-agents, sometimes calling tools the operator never approved. That difference means agent IAM needs runtime policy decisions, not just lifecycle credential management. Some platforms (Oasis, Astrix, Token Security) approach agent IAM as an extension of NHI security. Others (Cakewalk, Aembit) approach it as a distinct discipline with its own policy enforcement layer.

6.3Do I need separate tools for human IAM and AI agent IAM?

Some platforms argue yes (specialize to win); others argue no (unify to govern). The practical reality is that most agents act on behalf of a human user, so the two identity worlds are deeply intertwined. Splitting them across two platforms creates audit gaps: when you ask "who approved this agent action," the answer has to traverse two systems. Cakewalk and Andromeda Security are the two platforms on this list that explicitly unify human and agent identity governance in one platform. Most others handle one well and bolt on the other.

6.4What about MCP servers and the security implications?

Model Context Protocol (MCP) is increasingly how agents access tools and data, especially as the standard matures through 2026. Some platforms (Cakewalk, Token Security, ConductorOne) explicitly handle agents acting through MCP servers, intercepting tool calls and applying policy. Token Security launched the first commercial MCP server for agentic AI security in 2025. If MCP is part of your stack, ask vendors specifically how they govern agent actions routed through arbitrary MCP servers.

6.5Is there a free tier or free trial for AI agent IAM?

Most platforms in this category require a sales call and an annual contract. The exception is Cakewalk's AI agent access management beta, which is in free early access while it ramps to general availability. Token Security offers a free AI Privilege Guardian tool for right-sizing agent permissions, though the broader platform is paid. Everything else (Oasis, Astrix, Aembit, Opal, ConductorOne, Andromeda) requires sales engagement to evaluate.

6.6Will Cisco's acquisition of Astrix Security affect my evaluation?

Yes, in two ways. Long term, Astrix gains Cisco's distribution, integration with Cisco Identity Intelligence, Duo IAM, and Secure Access, and meaningful roadmap investment. Short term, expect platform integration churn through 2026 and 2027 as the product is folded into Cisco's broader security portfolio. If you're already a Cisco shop, the acquisition is net positive. If you're evaluating Astrix as a standalone purchase, factor in integration uncertainty. The deal was announced in early May 2026.

6.7How quickly can a team deploy AI agent IAM?

This varies a lot across the category. Modern platforms designed for self-service (Cakewalk, Aembit, ConductorOne) can be operational in days to a couple of weeks, with the team running policies and seeing telemetry against real agents in that window. Enterprise platforms (Oasis, Astrix, Token Security, Opal, Andromeda) typically run multi-week evaluations with sales engineering support before deployment. The fastest path to actual governance signal in your environment is a self-serve trial against your real agents, which is one reason free early access matters in this category. Cakewalk's free early access gets most teams to first useful telemetry within hours.

6.8What does AI agent IAM typically cost?

Pricing is opaque across the category, with vendors quoting per-employee, per-agent, per-connector, or hybrid rates that vary by deal. Every platform in this guide except Cakewalk requires a sales call to access AI agent governance. Cakewalk's agent access management is currently free during the beta period, which is the only self-serve way to test purpose-built agent IAM against your real environment without entering a procurement cycle.