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Vekri vs Okta for AI Agents

What each is for, where Okta for AI Agents is strong, and how the two differ, capability by capability.

Okta, Inc. · Based on the vendor's public documentation, last reviewed .

At a glance

Okta for AI Agents

Okta for AI Agents registers agents as identities in Okta's directory and controls which resources they may reach. Agent Gateway, generally available since October 2026, proxies remote MCP servers and injects credentials into each tool call.

SaaS. Agent Gateway runs as an Okta-hosted relay and reaches remote MCP servers only. Auth0 for AI Agents is a separate developer platform from the same vendor.

Vekri

Runtime authorization for AI agents. Vekri Gateway checks every tool call against a verified identity, a task scope and Cedar policy; privileged writes wait for a person's approval of the exact operation; a broker executes with credentials the agent never sees.

In Vekri's cloud, or self-hosted in your Kubernetes cluster with no connection to Vekri.

Where Okta for AI Agents is strong

Okta is the identity provider many companies already use, so agents join the same directory, owners, access certifications and sign-in policies as employees. Agents can be imported from Agentforce, Bedrock AgentCore and ServiceNow, Cross App Access lets administrators replace per-user consent, and Agent Gateway keeps downstream credentials away from the agent. Auth0 adds a token vault and asynchronous user approval for developers building agents.

Where Vekri differs

Okta decides at the identity layer which agents may use which gateways, tools and scopes, set for each agent rather than for each task. Vekri issues a scope for each task, decides typed operations against Cedar policy, and has another person approve a privileged write, bound to that exact operation, before its broker executes it.

Side by side

Vekri and Okta for AI Agents, capability by capability.

"Not in public docs" means we could not find it in the vendor's public documentation on the review date, not that it is missing.

Decides each tool call inline

Every agent tool call is allowed or denied before it reaches the protected system.

VekriYes
Vekri Gateway decides every MCP tool call sent through it before the broker executes it; a denied call never reaches the system. It is a boundary only when it is the only path to that system.
Okta for AI AgentsDocumented
Agent Gateway sits between agents and remote MCP servers and checks identity and policy for each tool call. Through other resource connections, such as Cross App Access, the agent receives a token and calls the resource directly. [1] [10]

Verified workload identity

An agent running as a workload proves who it is with a credential the platform issued, not a shared key.

VekriYes
Kubernetes projected service-account tokens, verified with TokenReview before Vekri issues a short-lived token for the run; every call is then authenticated. SPIFFE X.509-SVIDs from a configured trust bundle (no Workload API yet).
Okta for AI AgentsPartly
Each agent is registered as a workload principal and authenticates with a client secret, a key pair or a Client ID Metadata Document. Attestation from Kubernetes, a cloud platform or SPIFFE is not described. [1] [3]

Employee agents use company SSO

Agents that employees run sign in as that employee, through the company identity provider.

VekriYes
Vekri is the MCP authorization server for Claude Code and federates to your OpenID Connect provider. SAML sign-in is not available yet.
Okta for AI AgentsDocumented
Employees sign in through Okta, and the agent obtains its gateway token for them with the authorization code flow and PKCE. [1]

Task-scoped permissions from the server

What an agent may do is set per task by the server, not by the agent or its prompt.

VekriYes
A run scope for workloads, or a protected access assignment for employees. The effective permission is always an intersection, never a widening.
Okta for AI AgentsNot in public docs
Access is set for each agent through resource connections and the tools selected for a gateway. A scope issued by the server for each task is not described. [2] [4]

Policy as code, deny by default

Decisions come from versioned policy, and anything not allowed is refused.

VekriYes
Cedar over typed operations. Unknown operations and evaluation errors are denied, and a revision can be simulated before it is published.
Okta for AI AgentsPartly
Administrators choose the agents allowed to call a gateway, up to 200 tools for it, and the scopes each resource connection allows. A policy language for these rules is not described. [2] [4]

Approval of the exact operation

A person approves one specific operation, and the approval cannot be reused for another.

VekriYes
Privileged writes wait for another person to approve that operation, bound to its digest, short-lived and single use, with separation of duties.
Okta for AI AgentsPartly
Auth0 asynchronous authorization lets an agent ask the user to approve an action on another device, optionally showing its details, before a token is issued. Approval of a tool call in Agent Gateway is not described. [5] [1]

Agent never holds backend credentials

Secrets for the protected system stay out of the agent's reach.

VekriYes
A broker executes with narrowly scoped Kubernetes or GitHub App credentials. Incoming tokens are never forwarded.
Okta for AI AgentsDocumented
Agent Gateway obtains downstream tokens by token exchange and injects them, so the agent holds no credential for the remote service. Cross App Access and Auth0 Token Vault instead give the agent short-lived access tokens. [1] [10] [6]

Audit evidence of decision and outcome

Each call leaves a durable record of what was decided and what happened.

VekriYes
Intent is recorded durably before execution and the outcome after; an uncertain outcome is never retried blindly.
Okta for AI AgentsDocumented
Gateway audit records attribute each tool call to the agent's workload principal, and each gateway shows 30 days of activity. The System Log records token exchanges and authentication events. [1] [7]

AI agents on workstations

Finds AI coding agents and other AI applications on employee devices, and watches or controls what they do there.

VekriPartly
Vekri Endpoint discovers coding agents, desktop and IDE AI apps, local models and their MCP servers on macOS and Linux, and its local MCP gateway decides each MCP tool call sent through it (Claude Code verified connecting; tool calls verified with an MCP client library). On macOS, a network gateway mediates MCP requests to approved remote servers, and agent control stops AI agents the organization has not allowed. Hooks observe built-in tools without blocking them; Windows is not supported.
Okta for AI AgentsNot in public docs
Okta detects new agents from OAuth consent grants in managed Chrome browsers. Discovering or monitoring coding agents on workstations is not described. [8]

Prompt and output inspection

Detects prompt injection or sensitive data in what models read and write.

VekriPartly
Tool results on Vekri Gateway and the local MCP gateway are inspected for prompt injection before the agent reads them; sensitive-data categories are detected on the device, off by default. Browsers and file uploads are not inspected.
Okta for AI AgentsNot in public docs
Inspecting prompts or tool output is not described in the public documentation.

Systems covered

Which systems, platforms or agents the product works with.

Vekri
Kubernetes and GitHub, with GitLab, PostgreSQL, MySQL, MongoDB, Slack, Jira, Linear, Asana, ClickUp, monday.com, HubSpot, Pipedrive, Zendesk, Freshdesk and custom OpenAPI connectors in preview.
Okta for AI Agents
Agents built in house or imported from Salesforce Agentforce, Amazon Bedrock AgentCore and ServiceNow, reaching applications, authorization servers, vaulted secrets, service accounts and remote MCP servers. Auth0 Token Vault lists more than 30 integrations.

Deployment

How the product is delivered.

Vekri
In Vekri's cloud, or self-hosted in your Kubernetes cluster with no connection to Vekri.
Okta for AI Agents
SaaS. Agent Gateway runs as an Okta-hosted relay and reaches remote MCP servers only. Auth0 for AI Agents is a separate developer platform from the same vendor.

Using both

Okta can remain the company's identity provider, including as the OpenID Connect provider employees sign in with to Vekri, while Vekri governs the calls their agents make to Kubernetes and GitHub.

Sources

Read on .

  1. 1.Okta developer docs: Okta Agent Gateway
  2. 2.Okta help: Add an Agent Gateway
  3. 3.Okta help: Add AI agents manually
  4. 4.Okta help: AI agent resource connections
  5. 5.Auth0 for AI Agents docs: Asynchronous authorization
  6. 6.Auth0 Token Vault
  7. 7.Okta help: View Agent Gateway activity
  8. 8.Okta blog: Okta for AI Agents is generally available
  9. 9.Okta release overview
  10. 10.Okta support: Understanding Cross App Access with Okta for AI Agents

Product names are trademarks of their respective owners. This page compares publicly documented capabilities as of the review date; it is not endorsed by the vendor, and products change quickly.

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