Authdog

AI identity

Secure every AI agent and tool

Authenticate agents, govern MCP connections, and enforce least-privilege tool access, without building a separate identity stack.

AI infrastructure

Identity, access, and secrets for autonomous workloads

01

AI Agents

Issue scoped, short-lived credentials to autonomous agents so they act only within the permissions you grant.

  • Authenticate the human and agent separately
  • Issue short-lived, least-privilege credentials
  • Keep agent actions attributable and auditable
02

AI Tools

Authenticate and authorize tool calls so agents only invoke the integrations and APIs you allow.

  • Control which tools each agent can call
  • Broker delegated access through scoped credentials
  • Apply policy before sensitive actions execute
03

MCP Security

Verify and govern Model Context Protocol servers and clients before they connect to your data.

  • Authenticate MCP clients and servers
  • Authorize tool calls with user context
  • Record every request for investigation
04

Trust Store

A central registry of every agent, MCP server, and workload your organization trusts: verified once, enforced everywhere.

  • Register trusted agents, workloads, and servers
  • Attach ownership and verification status
  • Revoke trust globally from one control plane
05

Vault

Store environment-scoped credentials and secret material for Authdog-managed workflows, encrypted at rest.

  • Separate secrets by project and environment
  • Store provider credentials, JSON, YAML, PEM, and opaque files
  • Limit plaintext access through console permissions and strong admin authentication
01

Identify

Give every agent, tool, and MCP connection a distinct identity.

02

Constrain

Issue scoped credentials and enforce policy before tool calls run.

03

Observe

Keep activity attributable, auditable, and revocable.

Secure autonomous access before it reaches production.

Register agents, protect credentials, and govern every tool call from one control plane.