Before an AI agent acts, decide if it should.
Arbiter is the control layer for autonomous AI agents.
Enforce permissions, approvals, spending limits, and audit trails before agents touch your systems.
Every agent action passes through policy evaluation before execution.
Governance Flow
Agent Identity
finance-agent
Autonomous payment processing agent
Drag or select a step to explore the workflow
Why teams adopt Arbiter
Rogue Agent Actions
Prevent unauthorized payments, API calls, and production changes.
Human Approval Workflows
Require approval before sensitive actions execute.
Audit Evidence
Generate receipts and compliance evidence automatically.
Runtime Governance
Control what agents can do before execution.
AI agents can act. Most organizations have no control layer.
Agent Sends Payment
Should it be allowed?
Agent Accesses Database
Who approved it?
Agent Modifies Production
Which policy allowed it?
Agent Calls Sensitive API
Was it within scope?
The challenge is no longer intelligence.
The challenge is trust.
How Arbiter works
Every action passes through a trust layer before execution.
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.
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.
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.
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)
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.