October 27, 2026
Posted by Alon Bar
Summary
AI agents are changing enterprise identity security. Unlike traditional applications, autonomous agents can access multiple systems, make decisions, and execute actions without continuous human supervision. This creates new risks that conventional identity and secrets management tools were not originally designed to address.
The best AI agent identity security platforms help organizations secure non-human identities (NHIs), eliminate unnecessary standing credentials, enforce least-privilege access, and maintain visibility into agent activity. However, their approaches differ significantly.
Some platforms specialize in identity discovery and governance. Others focus on workload authentication, secrets management, or privileged access. A newer category extends protection to runtime authorization, evaluating what an agent is attempting to do before allowing execution.
This guide compares ten leading platforms, including Akeyless, Aembit, Cyera Identity (Oasis Security), Idira, HashiCorp Vault, Okta, SailPoint, 1Password, Saviynt, and Teleport. It explains their strengths, limitations, and ideal use cases, with particular attention to credential exposure, Just-in-Time (JIT) access, and runtime enforcement.
Why AI Agents Require a New Approach to Identity Security
Traditional identity security focuses on authenticating users, granting permissions, and reviewing access. AI agents introduce a more dynamic security challenge.
An agent might receive permission to investigate a production incident, query a database, retrieve customer information, and invoke external tools. Even if its identity is legitimate, a manipulated prompt or unexpected tool response could cause it to perform an unauthorized action.
Static API keys, broad service-account permissions, and credentials embedded in configuration files increase the potential impact. A compromised agent may inherit access that extends well beyond its intended task.
The central question is no longer simply who can access a system? It is also what is this agent authorized to do, right now?
Effective AI agent security therefore requires identity-based authentication, short-lived access, credential isolation, and controls that can evaluate actions during execution.
How to Evaluate an AI Agent Identity Security Platform
Before comparing vendors, organizations should assess four essential capabilities.
Dynamic Authentication and Just-in-Time Credentials
Agents should not depend on permanent passwords or unrestricted API keys. Look for native workload authentication, ephemeral credentials, automated expiration, and Zero Standing Privileges (ZSP).
Runtime Authority and Intent Enforcement
Authentication confirms identity, but does not establish whether every subsequent action is appropriate. Runtime controls should evaluate requests against policy, execution context, and, where supported, the agent's authorized intent.
End-to-End Traceability
Security teams need to connect an agent's identity, originating request, authorization decision, and resulting action. Credential-access logs alone may not provide sufficient evidence to investigate agent-driven incidents.
Unified Identity Governance
AI agents operate alongside developers, applications, cloud workloads, and privileged users. Platforms should integrate with existing identity providers and support consistent policy enforcement across hybrid and multi-cloud infrastructure.
The strongest choice depends on whether the organization primarily needs discovery, identity lifecycle management, credential protection, or active runtime enforcement.
The Top AI Agent Identity Security Platforms Compared
The following comparison highlights each platform's primary approach, secrets management capabilities, runtime controls, and best-fit use cases.
| Platform | Core category | Native secrets management | Agent runtime authorization | Best fit |
|---|---|---|---|---|
| Akeyless | Unified identity security and Runtime Authority | Yes, Zero-Knowledge DFC™ | Intent-aware Gateway enforcement | Enterprise runtime security |
| Aembit | Workload IAM | External integrations | Workload access policies | Workload identity federation |
| Cyera Identity (Oasis) | NHI discovery and posture | No native vault focus | Primarily posture-oriented | Shadow NHI discovery |
| Idira / CyberArk | Enterprise identity and PAM | Yes | AI access brokering | Enterprise PAM consolidation |
| HashiCorp Vault | Secrets and agentic IAM | Yes | Agent identity and policy authorization | Infrastructure secrets |
| Okta | IAM and agent identity | Not a general secrets vault | Agent-to-app authorization | SaaS identity integration |
| SailPoint | Identity governance | No native vault focus | Governance-oriented | Identity lifecycle |
| 1Password | Credential management | Yes | Runtime credential brokering | Developer credentials |
| Saviynt | AI identity governance | Not a general secrets vault | Intent-aware authorization | AI identity lifecycle |
| Teleport | Infrastructure identity | Infrastructure secrets support | Delegated agent access | Infrastructure agents |
Capabilities vary by edition, release status, and integration. Runtime authorization is not necessarily equivalent to semantic intent inspection or command-level enforcement.
1. Akeyless — Best for Unified AI Agent Runtime Security
Akeyless brings secrets management, machine identity security, Modern PAM, certificate lifecycle management, and AI agent security into one SaaS-native platform.
Its SecretlessAI™ capability brokers access without exposing credentials to agents. Instead of storing reusable credentials in prompts, agent environments, or application configuration, credentials can be supplied through controlled execution paths.
Akeyless Agentic Runtime Authority extends protection beyond authentication. Through the Akeyless Gateway, it evaluates agent requests against authorized intent and policy before execution, with controls designed to prevent unauthorized operations and mask sensitive response data.
The platform also uses patented Distributed Fragments Cryptography™ (DFC™). Encryption keys remain distributed, with a required fragment controlled by the customer, enabling Zero-Knowledge protection without maintaining traditional vault clusters.
Its broader platform supports static, rotated, and dynamic secrets, multi-vault governance, and secure access across hybrid infrastructure.
Best for: Enterprises seeking credential isolation, runtime enforcement, and unified security for humans, machines, workloads, and AI agents.
Consideration: Organizations can maximize the value of Akeyless by aligning agent identities, access policies, and runtime authorization workflows with their existing security architecture.
2. Aembit — Best for Workload Identity Federation
Aembit specializes in workload identity and access management, helping applications and automated systems authenticate to services without embedding permanent credentials.
Its identity-driven approach is relevant to AI agents that need secure service-to-service connectivity. Workload authentication and policy-based credential delivery can reduce reliance on hardcoded secrets.
Aembit is particularly attractive to organizations prioritizing workload identity federation and access to APIs and services.
Best for: Engineering teams modernizing workload authentication and service-to-service access.
Consideration: Workload IAM does not inherently replace enterprise-wide secrets management, cryptographic key governance, or semantic evaluation of every agent action. These capabilities should be assessed separately.
3. Cyera Identity (Oasis Security) — Best for NHI Discovery and Posture
Oasis Security focuses on identifying and governing non-human identities across enterprise environments.
Its capabilities help security teams discover unmanaged identities, identify orphaned accounts, map ownership, and prioritize excessive permissions or exposed credentials.
This visibility is especially valuable when organizations cannot confidently determine which agents and service accounts exist or what resources they can reach.
Oasis and Akeyless address complementary security layers: discovery identifies exposure, while secrets and access infrastructure provides mechanisms to rotate credentials, revoke access, and enforce runtime controls.
Best for: Organizations prioritizing NHI inventory, ownership, exposure analysis, and posture management.
Consideration: Discovery and posture assessment should not be confused with brokered, intent-aware execution enforcement. Organizations may benefit from combining both layers.
4. CyberArk Idira (Palo Alto Networks) — Best for Enterprise PAM and Identity Consolidation
CyberArk brings extensive experience in privileged access management, secrets security, and machine identity protection.
Its Idira positioning extends identity security toward AI agents, including agent inventory, identity brokering, access controls, and audit visibility.
For organizations already invested in CyberArk PAM and related services, these capabilities provide a path toward governing agent access through existing enterprise identity infrastructure.
Akeyless differentiates through its SaaS-native operational model, combining secrets management, JIT access, cryptographic protection, and agent runtime controls within one platform.
Best for: Large enterprises extending established privileged access and identity security investments to AI agents.
Consideration: Evaluate the underlying products, integration requirements, supported agent interfaces, and precise scope of runtime enforcement rather than treating the entire portfolio as one uniformly deployed capability.
5. HashiCorp Vault — Best for Infrastructure Secrets Management
HashiCorp Vault is an established solution for storing secrets, generating dynamic credentials, rotating credentials, and managing encryption operations.
Its authentication methods, secrets engines, and policy framework make it useful for DevOps pipelines, applications, and infrastructure workloads.
Vault has also expanded into agentic IAM, with agent registration, OAuth-based authorization, and MCP integration in supported Enterprise releases.
However, identity-based authorization to Vault resources is distinct from continuously inspecting the semantic intent of actions executed against downstream enterprise systems.
Akeyless offers an alternative for organizations seeking SaaS-first secrets management, reduced vault infrastructure administration, and integrated agent execution controls.
Best for: Teams already standardized on Vault for infrastructure secrets and policy-based credential management.
Consideration: Compare self-managed operational costs, Enterprise licensing, agentic IAM capabilities, and downstream runtime enforcement requirements.
6. Okta — Best for Agent-to-Application Identity
Okta extends enterprise identity management to AI agents through agent registration, lifecycle controls, and Cross App Access (XAA).
XAA supports governed application connections and scoped authorization, allowing administrators to control how agents access supported applications. Okta also offers Agent SSO and is expanding its agent security capabilities.
Okta is especially relevant where organizations already rely on its identity infrastructure.
Best for: Enterprises managing agent identities and authorized connections across SaaS applications.
Consideration: Identity and token authorization are not identical to credential isolation or action-level enforcement against databases and production infrastructure. Okta and Akeyless can provide complementary controls.
7. SailPoint — Best for Enterprise Identity Governance
SailPoint focuses on identity governance, access visibility, lifecycle management, and accountability.
These capabilities become important as organizations introduce agents that require defined ownership, appropriate entitlements, and periodic access reviews.
SailPoint's identity security approach helps enterprises extend governance processes beyond traditional workforce identities.
Best for: Organizations emphasizing ownership, access certification, identity lifecycle management, and compliance.
Consideration: Administrative governance and runtime action enforcement solve different problems. Teams should evaluate how governance decisions translate into technical controls during agent execution.
8. 1Password — Best for Developer and Agent Credential Management
1Password has expanded beyond workforce password management into developer secrets, machine identities, and runtime credential brokering.
Its Credential Broker verifies requesting workloads and delivers authorized credentials when needed, reducing the need to embed long-lived secrets in application environments. The company has also introduced privileged access capabilities.
These developments make 1Password relevant to organizations securing developer automation and AI-assisted workflows.
Best for: Teams seeking secure credential delivery integrated with existing password and developer workflows.
Consideration: Runtime credential brokering is different from inspecting agent intent and controlling downstream commands. Compare enforcement depth, credential handling, and supported targets.
9. Saviynt — Best for AI Agent Lifecycle Governance
Saviynt has expanded its identity security portfolio with Zuma, an AI identity security platform combining agent discovery, lifecycle governance, and runtime authorization.
Its capabilities include ownership assignment, agent inventory, access-path visibility, and intent-aware controls designed to evaluate agent interactions before execution.
This makes Saviynt a relevant option for enterprises looking to govern autonomous agents alongside human and other non-human identities.
Best for: Organizations seeking integrated AI agent discovery, identity lifecycle governance, and runtime authorization.
Consideration: Saviynt now competes directly in runtime authorization. Buyers should compare the supported enforcement points, credential isolation, secrets infrastructure, and operational architecture rather than assuming its offering is limited to access reviews.
10. Teleport — Best for Infrastructure-Focused AI Agents
Teleport provides identity-based infrastructure access using short-lived credentials, certificates, and centralized access controls.
Its agent-focused capabilities have expanded through Beams, including delegated agentic identity and an LLM proxy intended to constrain agent permissions and access to production infrastructure.
These features make Teleport particularly relevant for AI coding assistants, engineering automation, and agents interacting with infrastructure.
Best for: Engineering organizations securing agent-driven infrastructure operations.
Consideration: Evaluate the maturity of agent-specific capabilities, supported targets, and whether the deployment also requires broader secrets, certificate, and multi-vault governance.
Governing Execution, Not Just Access
The most important distinction in AI agent identity security is between granting access and controlling what happens after access is granted.
An agent may authenticate successfully, receive a valid token, and still attempt an operation outside its authorized task. Identity governance can establish ownership and permissions, while secrets management can protect credentials. Neither automatically guarantees that every agent action is appropriate.
Runtime enforcement adds another layer by evaluating requests as agents interact with enterprise systems. Combined with short-lived credentials, least privilege, and traceable authorization decisions, these controls help limit the consequences of compromised or misdirected agents.
Akeyless brings these capabilities together through SecretlessAI, Agentic Runtime Authority, and its unified Zero-Knowledge identity security platform.
For enterprises managing AI agents alongside existing applications and workloads, the goal should be a security architecture that protects credentials, governs identities, and enforces policies at execution time.
Frequently Asked Questions
What is an AI agent identity security platform?
An AI agent identity security platform helps authenticate, authorize, monitor, and govern autonomous AI systems. Depending on the product, capabilities may include agent discovery, identity lifecycle management, secrets protection, credential brokering, and runtime authorization.
Why do AI agents need different identity controls?
AI agents can independently invoke tools, chain operations, and interact with sensitive systems. Traditional access permissions may not determine whether a specific action matches an authorized task. Short-lived credentials and runtime enforcement help address this risk.
How does Akeyless secure AI agents without stored credentials?
Akeyless SecretlessAI brokers access using ephemeral credentials that agents do not need to store or handle. Agentic Runtime Authority evaluates requests against intent and policy through the Gateway, while Distributed Fragments Cryptography protects underlying cryptographic key material.
What separates NHI governance from runtime enforcement?
NHI governance focuses on discovering identities, establishing ownership, managing entitlements, and identifying risk. Runtime enforcement controls what an identity can do during execution. Both are important, but they address different stages of the security lifecycle.
Can one platform handle secrets management and AI agent security?
Yes. Akeyless combines secrets management, Multi-Vault Governance, Modern PAM, certificate lifecycle management, encryption and key management, and AI agent security in one SaaS-native platform. This helps organizations reduce operational fragmentation while applying consistent access controls across environments.
Can runtime authorization prevent prompt injection?
Runtime authorization can limit the impact of prompt injection by blocking agent actions that violate policy or authorized intent. However, no runtime security control guarantees prevention of every prompt-injection attack. Defense-in-depth remains essential.
Secure Your AI Agents Today
AI agents need more than identities and access tokens. They need secure, short-lived access, protection from credential exposure, and enforceable controls over what they can do.
Akeyless brings SecretlessAI™, Agentic Runtime Authority, Zero-Knowledge secrets management, and Just-in-Time access together in one SaaS-native identity security platform.
Protect your agents without adding another layer of vault infrastructure.
Set up a demo to see how Akeyless SecretlessAI and Agentic Runtime Authority can help you build credential-free, policy-enforced AI workflows.
