Over the last decade, enterprises perfected how they manage human identities. Human Identity Providers (IdPs) such as Okta and Microsoft Entra became the system of record for people, handling SSO, MFA, group-based policies, and governance workflows across thousands of apps.

What they were not created for is the world emerging today. A new class of identities is multiplying inside every enterprise: microservices, containers, pipelines, automated tasks, and now AI agents that read data, call APIs, and make decisions on their own.

Industry leaders recognize this rapid shift. Okta calls this the rise of a “non-human identity fabric.” CyberArk categorizes AI agents as a new tier of privileged machine identities. Microsoft’s identity community is actively debating how to model AI agents as persistent identities with authentication, authorization, and governance needs of their own.

Akeyless is at the forefront of this evolution. Our deep experience securing machine identities, backed by SaaS-native resilience and Distributed Fragments Cryptography, has shaped our vision for what modern AI agent identity security must deliver. To understand why a Machine and AI Agent Identity Provider is now essential, we first need to examine the limitations of the Human Identity Provider model..

What Is a Human Identity Provider?

A Human IdP is designed around interactive people, employees, partners, customers, who log in manually. These identities typically last years and change infrequently as people move between roles.

Human Identity Providers are optimized for:

• Username/password or MFA authentication
• Single Sign-On (SSO) via SAML/OIDC/OAuth
• Role and group-based authorization models
• Compliance workflows such as joiner, mover, and leaver processes
• Logging and auditing user login events

This model assumes predictable patterns. Humans do not authenticate thousands of times per minute. Their sessions last for limited periods. Their permissions evolve slowly, and identity workflows move at the pace of HR processes.

Machines and AI agents do not operate in this world.

What Is a Machine / AI Agent Identity Provider?

A Machine or AI Agent Identity Provider manages authentication, authorization, credential issuance, and auditing for non-human entities. These include workloads, microservices, containers, pipelines, automation tools, RPA bots, and increasingly AI agents that read data, call APIs, and take action autonomously. Their identities are ephemeral, they operate at massive scale, and they rely on cryptographic authentication rather than passwords.

A Machine and AI Agent Identity Provider must support:

• Very short-lived identities that may exist for seconds or minutes
• Authentication based on certificates, OIDC tokens, IAM roles, or Kubernetes service accounts
• High-volume, rapid identity creation and validation
• Short-lived credentials rather than shared secrets or long-lived tokens

AI agents introduce additional complexity. They may discover secrets unintentionally in logs, prompts, or configuration files. They can act at machine speed and chain requests across many systems. A compromise of one agent can escalate immediately, often without human visibility.

This creates a need for an identity model that is real time, dynamic, and governed directly at the identity layer, not at the application or network boundary.

Why Human IdPs Alone Aren’t Enough for AI Agents

Human Identity Providers were never built for the demands of non-human identities. They expect user interaction, long-lived accounts, predictable session patterns, and authentication methods such as passwords or MFA. Machines and AI agents operate very differently, and their needs fall outside the assumptions these systems were designed to support.

Key limitations include:

• Authentication methods do not align. Humans use passwords, MFA, or biometrics. Machines and AI agents authenticate with certificates, signed tokens, cloud IAM roles, or Kubernetes service accounts.
  
• Scale requirements are vastly different. An enterprise may have a few thousand employees, but tens of thousands of workloads, hundreds of thousands of CI jobs each day, and millions of AI agent actions.
  
• Life cycles are short and dynamic. Containers may last minutes. AI agents may spin up or shut down based on demand. Identity systems must issue and retire credentials in real time.
  
• Risk spreads much faster. A compromised human credential exposes one account. A compromised AI agent credential can immediately access many systems, exfiltrate data, or chain automated actions.

Thus, the industry is now converging on a dedicated Machine & AI Agent IdP model.

Human IdP vs Machine / AI Agent IdP: Comparison Table

Category	Human Identity Provider	Machine / AI Agent Identity Provider
Primary Actor	People	Workloads, services, pipelines, AI agents
Identity Volume	Thousands	Millions to billions
Identity Lifetime	Years	Seconds to hours
Authentication	Passwords, MFA, biometrics	Cryptographic identity (IAM, mTLS, OIDC, certs)
Credential Type	Long-lived human sessions	Short-lived tokens, certs, dynamic secrets
Authorization	Roles, groups	Attribute-based, policy-driven workload scopes
Governance	HR-driven JML processes	Automated lifecycle tied to workloads & agents
Risk Model	Phishing, credential theft	Secret leakage, agent over-permissioning, automated misuse
Audit	Logins & app access	Every credential issuance & API call
Scale Requirements	Moderate	Extreme global scale with elasticity

What a Modern Machine / AI Agent Identity Provider Must Deliver

An AI Agent IdP must support identities that are dynamic, short-lived, and fully automated. Machines and AI agents authenticate without interaction, operate at high velocity, and often span multiple clouds, environments, and platforms. An effective provider must deliver a foundation that keeps these identities secure while enabling the speed and flexibility they require.

Core capabilities include:

• Identity-based authentication without static secrets
• Short-lived, dynamic credentials issued per request
• Federation across clouds, environments, and LLM ecosystems
• Guardrails and scoped permissions for agents
• Real-time visibility and auditing of every action
• Global SaaS resilience without operational burden
• Cryptographic control that remains in the customer’s hands

These elements form the basis of a modern identity layer for both machine and AI-driven workloads.

How Akeyless Leads the Market as a Machine & AI Agent IdP

Akeyless has evolved from a secrets and machine identity platform into a full-spectrum Identity Security Platform for machines, workloads, and AI agents. The platform is delivered as enterprise-grade SaaS backed by Distributed Fragments Cryptography™, which keeps cryptographic control in the customer’s hands. This combination supports billions of machine identity exchanges across hybrid, multi cloud, and on-prem environments, and increasingly supports AI agents integrated into development, automation, and business processes.Akeyless achieves this through three primary pillars:

1. SaaS Built for Global Workload & AI Agent Identity Scale

Akeyless delivers all Machine and AI Agent IdP capabilities as a fully managed SaaS platform. This eliminates infrastructure and operational overhead and ensures consistent global performance.

Benefits include:

• No clusters to deploy or scale
• No patching or maintenance
• High availability and disaster recovery built in
• Automatic global redundancy
• Millisecond latency from distributed regional endpoints

This lets security teams focus on identity policy and governance, not on running infrastructure.

2. DFC™: Customer-Controlled Cryptography + Zero-Knowledge Security

Akeyless’s patented Distributed Fragments Cryptography (DFC™) keeps encryption keys entirely under customer control. Akeyless never possesses the full key, and fragmentation across independent trust zones provides strong cryptographic separation.

DFC delivers:

• Complete customer control over encryption keys
• A true zero-knowledge architecture
• Resilience-by-design through cryptographic fragmentation across independent trust zones
• Protection even against cloud provider compromise

This provides the control of a self-hosted system with the simplicity of SaaS.

3. Complete Control Over Machine & AI Agent Credentials, Certificates, Keys, and Tokens

Akeyless centralizes issuance and lifecycle management of all machine and agent credentials. This unifies governance for all non-human access.

• Dynamic database credentials
• API tokens and short-lived access tokens
• SSH certificates
• TLS certificates via PKIaaS
• Symmetric and asymmetric keys
• Identity-based session tokens
• AI agent identity tokens and scopes

These credentials are short lived by default, issued on demand, tied to verifiable machine or agent identity, and fully audited.

Akeyless AI Agent Identity Security: Purpose-Built for Autonomous AI

Akeyless recently introduced a dedicated AI Agent Identity Security suite to combat the explosion of static secrets within AI connectors, extensions, and automation workflows. The suite brings identity based controls to autonomous systems and ensures that AI agents authenticate, connect, and operate without relying on embedded credentials.

The suite is built on three core capabilities.

SecretlessAI™ – Identity-Based, Ephemeral Access for AI Agents

SecretlessAI™ removes hardcoded secrets from AI agents and replaces them with identity based authentication and short lived access. Credentials are created only when needed and disappear after use.

SecretlessAI enables:

• Identity based authentication without storing keys or tokens
• Just in time issuance of short lived credentials
• Scoped, least privilege access for each agent
• Automatic revocation and traceability
• Removal of static secrets in prompts, connectors, or agent files

This ensures AI agents can operate securely even in environments where logs, prompts, or tools may be exposed.

AI Agent Identity Provider (AI Agent IdP)

Akeyless now gives AI agents first-class, verifiable digital identities, that can authenticate reliably across cloud, SaaS, and on prem environments. Each identity is short lived, issued dynamically, and tied to policy.

The AI Agent Identity Provider supports:

• Identity federation across cloud IAM and LLM providers
• Dynamic issuance of short-lived identities for every API call
• Integration with OpenAI, Anthropic, Google Gemini, xAI Grok, and more
• Secure identity-based access for IDE assistants like GitHub Copilot, VS Code, Cursor, and n8n

This allows organizations to control exactly:

• Which agents exist
• What they can do
• Which human or system they act on behalf of

AI Agent Privileged Access

Some AI agents require elevated access to perform sensitive tasks such as database updates, configuration changes, or operational workflows. Akeyless extends identity-based controls and least privilege to AI agent actions:

• Guardrails defining allowed operations
• Fine-grained scopes per agent
• Real-time behavioral monitoring
• Automated shutdown of rogue or misbehaving agent

This brings Zero Trust principles to autonomous systems without limiting automation.

Akeyless Jarvis™: Unified Visibility Across Humans, Machines & AI Agents

Akeyless Jarvis™offers a single view of how identities behave across environments. It provides natural language investigation, automated detection of over permissioned agents, and behavioral analytics for unusual patterns.

Jarvis provides:

• Natural-language investigation (“Which agents accessed financial data last week?”)
• Automated detection of over-permissioned agents
• Behavioral analytics for anomalous machine and agent patterns
• Unified reports for auditors and security teams

By connecting human, machine, and AI agent behavior, AI Insights helps organizations govern identities with greater clarity.

Conclusion: Akeyless is the Machine & AI Agent IdP for the Era of Autonomous Operations

Human IdPs secure people. But the modern enterprise now depends on a rapidly expanding non-human workforce, with machines and AI agents performing the majority of operational tasks. Akeyless provides the identity foundation for this new workforce by unifying SaaS scale and simplicity with DFC™ customer-controlled cryptography, zero-knowledge security, and built-in global resilience. The platform delivers comprehensive control over every credential, certificate, key, and token, along with purpose-built AI agent identity security capabilities that ensure autonomous systems can operate safely, predictably, and with full accountability.

To see how it works, watch our limited series “Identity Security for the AI Era,” or schedule a personalized demo.