Ecosystem

Extend AI agent identity security with governed execution

KeyRunner can work alongside non-human identity, workload IAM, privileged access, and runtime authorization platforms. The goal is a connected control path from verified identity to governed enterprise API action.

Short answer: KeyRunner does not need to replace Astrix, Oasis Security, Token Security, Aembit, or P0 Security. It can extend their identity, posture, access, and authorization decisions into policy-curated API tools, controlled responses, and action-level execution evidence.

Intercept & policy check

Connect agent identity to approved tools and API endpoints

KeyRunner maps an onboarded agent to its named policies, permitted tools, downstream endpoints, and potential blast radius before execution.

KeyRunner agent graph showing a customer support agent connected to named policies, approved tools, API endpoints, and blast radius analysis
The agent graph provides an action-level view that can extend identity, workload IAM, and runtime authorization context.
Connected architecture

From identity decision to enterprise API outcome

Capabilities overlap across this market. Integration should preserve the controls already provided by each platform and add only the API tool and response controls the organization still needs.

01

Approved identity context

Use the agent, user, workload, ownership, posture, and access decision supplied by the identity or authorization layer.

02

Policy-curated tool discovery

Return only the named API tools permitted for that agent instead of exposing the complete enterprise catalog.

03

OpenAPI to governed tools

Turn approved enterprise API operations into consistent MCP-compatible or API-callable agent actions.

04

Execution-time checks

Evaluate the tool, parameters, environment, approval state, operating limits, and data policy before dispatch.

05

Credential boundary

Use the organization’s chosen identity, token, JIT access, or vault architecture without placing raw credentials in model context.

06

Response controls

Remove PII, PHI, payment data, secrets, and restricted fields before output reaches the model.

07

Action evidence

Connect agent identity and authorization to the specific API action, outcome, redaction, timeout, or rollback event.

Platform guides

How KeyRunner can complement the current security stack

The descriptions below are based on each vendor’s published positioning as of August 14, 2026. Product capabilities change, so integration scope should be validated during architecture review.

KeyRunner and Astrix Security

Official website ↗

KeyRunner vs Astrix: what is the difference?

Astrix focuses on discovering, securing, and governing AI agents, MCP servers, service accounts, and other non-human identities. Astrix joined Cisco and ended standalone sales of new licenses on June 30, 2026.

Possible extension

KeyRunner can extend an identity-centered program by converting approved enterprise APIs into governed agent tools, curating the tools returned to each agent, applying response redaction, and recording action-level API execution evidence.

KeyRunner and Oasis Security

Official website ↗

KeyRunner vs Oasis Security: what is the difference?

Oasis provides agentic access management and non-human identity governance, including agent and identity discovery, permission mapping, identity provisioning, policy, and lifecycle controls across enterprise environments.

Possible extension

KeyRunner can consume an approved agent identity and apply API-specific execution controls such as named tool policies, runtime vault references, response-field filtering, approval gates, and a trace of the resulting API action.

KeyRunner and Token Security

Official website ↗

KeyRunner vs Token Security: what is the difference?

Token Security provides identity-first AI agent and non-human identity security, including discovery, ownership, intent, lifecycle governance, access right-sizing, traceability, and automated remediation.

Possible extension

KeyRunner can extend identity and intent policy into a reusable enterprise API tool layer, where each request is matched to a named action, governed before execution, filtered before model delivery, and recorded with its API outcome.

KeyRunner and Aembit

Official website ↗

KeyRunner vs Aembit: what is the difference?

Aembit provides workload IAM for applications and AI agents. Its agent capabilities include blended user and agent identity, policy-based access, credential isolation, short-lived access, MCP controls, revocation, and access audit logs.

Possible extension

KeyRunner can sit at the API tool layer and add OpenAPI-to-tool conversion, role-curated tool discovery, API payload and response controls, action approval workflows, and application-level execution evidence. Integration design should avoid duplicating identity and credential controls already enforced by Aembit.

KeyRunner and P0 Security

Official website ↗

KeyRunner vs P0 Security: what is the difference?

P0 Security provides a runtime authorization control plane for users, machines, and AI agents, with identity discovery, zero standing privilege, just-in-time access, action-chain policy enforcement, and audit logs.

Possible extension

KeyRunner can extend a P0-governed authorization decision into an enterprise API tool workflow by registering API actions from OpenAPI, returning a curated tool set, applying response redaction, and capturing API-specific request, response, timeout, and rollback evidence.

Design the integration around the controls you already have

Start with an inventory of identity, authorization, credential, tool, data, and audit controls. Keep one owner for each decision. Use KeyRunner where an API needs to become a curated agent tool, where response fields need filtering, or where API-specific execution evidence needs to connect back to agent policy.