Prevent AI agents from making unauthorized payments, API calls, and production changes.
Arbiter evaluates every agent action before execution and returns Allow, Deny, or Hold.
Enforce permissions, approvals, spending limits, and audit evidence before agents touch critical systems.
Try Arbiter Live
Evaluate a real AI agent action in under 60 seconds.
Open PlaygroundNo signup required
Decision Layer
AI Agent
finance-agent
Action Request
send_payment
Arbiter
Execution
downstream systems
Real incidents happen because nobody approves agent actions.
Agent Sends $50,000 Payment
Who approved it?
Agent Deletes Production Database
Why was it allowed?
Agent Accesses Customer Records
Was it authorized?
Agent Sends External Email
Who reviewed it?
AI agents now have real permissions.
Today AI agents can:
- Send payments
- Modify databases
- Call APIs
- Access customer data
- Deploy code
Most organizations still rely on prompts to control them.
Prompts are not authorization.
Built for teams deploying AI agents.
AI Startups
Prevent agents from operating outside intended scope.
Agent Builders
Enforce policies before tool execution.
Enterprise AI Teams
Add approvals, governance, and audit evidence.
Automation Platforms
Control high-risk actions in production.
Products
Infrastructure for agent governance at every layer.
Governance Gateway
Policy evaluation before execution.
Agent Identity
Treat agents as first-class identities.
Approval Engine
Human approval for sensitive actions.
Evidence Layer
Receipts and audit evidence.
How Arbiter works
Every action passes through a trust layer before execution.
Governance Flow
Agent Identity
finance-agent
Autonomous payment processing agent
Drag or select a step to explore the workflow
Arbiter sits between your agents and the systems they touch — evaluating identity, policy, and approval requirements in real time, then recording immutable evidence of every decision.
Playground
Try Arbiter on a real agent action.
Evaluate payments, deployments, and data access in an interactive sandbox. See Allow, Deny, and Hold decisions before anything executes.
Use cases
Governance policies tailored to every agent workflow.
Finance Agent
Payment > $1000
→
Hold
Customer Support Agent
Refund > $500
→
Approval Required
Engineering Agent
Production Deployment
→
Approval Required
Healthcare Agent
Sensitive Data Access
→
Restricted
See Arbiter in action.
Every decision becomes explainable, reviewable, and auditable.
Action Review
finance-agent / send_payment
Policy matched
payments_above_1000 → hold_for_approval
Approver queue
finance-approvers (2 pending)
The Trust Stack For AI Agents
Identity
Every agent is a first-class identity with credentials, scope, and provenance.
Authorization
Fine-grained permissions define what each agent is allowed to request.
Execution
Policy evaluation gates every action before it reaches downstream systems.
Evidence
Cryptographic receipts and audit trails for every allow, deny, and hold.
Settlement
Future LayerFinal attestation and reconciliation of agent actions across systems.
AI agents need trust infrastructure.
The internet has identity.
The internet has authentication.
The internet has authorization.
Autonomous AI agents need the same foundations.
Arbiter is building that trust infrastructure.
Become a Design Partner
We're working with AI startups, AI consultancies, and autonomous system builders to shape the future of AI governance infrastructure.
Early design partners receive direct founder support and free access during validation.
Ideal Partners
- AI Startups
- Agent Builders
- AI Consultancies
- Enterprise AI Teams
- Workflow Automation Platforms
What You Receive
- Direct founder access
- Early product influence
- Free validation access
- Priority onboarding
- Governance architecture support
Meet the Founder
Dr. Sumit Birru
Founder, Arbiter
After building and operating his own medical practice, Dr. Sumit Birru became interested in a new challenge: how organizations can safely govern autonomous AI agents.
Working in an environment where trust, accountability, approvals, and auditability are critical shaped his belief that powerful systems require strong controls.
As AI agents gain access to data, tools, infrastructure, and financial systems, organizations need a way to determine what those agents are allowed to do before actions occur.
Arbiter is building the identity, authorization, approval, and audit infrastructure for autonomous AI agents.
Currently working with AI startups, agent builders, and autonomous system teams during the validation phase.