ARBITER

Put policy in front of agent tool calls.

ARBITER evaluates agent actions before they touch tools, memory, or sensitive systems, can hold for approval, and records durable decision evidence on every path.

  • Constrain tool calls before execution begins.
  • Require approval for high-impact agent actions.
  • Preserve agent, tool, and policy context together.
Control Model

An agent control boundary between intent and action.

ARBITER turns tool-enabled agent execution into an explicit decision path instead of trusting prompt conventions or post-event monitoring.

Control Inputs

  • Agent identity, tool request, and execution context.
  • Session memory, user scope, and approval state.
  • Policy version, environment, and target system.

Decision Surface

  • Allow low-risk calls through narrow tool boundaries.
  • Block unsafe prompts, actions, or context usage.
  • Pause high-impact actions until approval is satisfied.

Evidence Output

  • Agent, tool, user, and session identity per action.
  • Policy result, reason code, and approval lineage.
  • Execution outcome tied back to the control decision.
Operating Surface

Built for agent systems where execution needs a real policy boundary.

ARBITER is for teams that need explicit control before agents touch tools, memory, approvals, or sensitive downstream systems.

Tool Boundary Enforcement

Route agent actions through explicit tool policies before external effects occur.

Memory and Context Policy

Evaluate what the agent can read, retain, or reuse before context becomes action.

Approval Gates

Hold sensitive actions until a human or service-level approval requirement is met.

Action-Level Evidence

Keep agent, tool, approval, and decision context inside one reviewable record.

Control Path

A deterministic decision path in front of autonomous behavior.

ARBITER narrows agent execution into a fixed sequence: inspect intent, evaluate policy, decide action, and preserve evidence.

Shared operating model

ARBITER keeps agent systems legible by putting policy before tool access, memory use, and state-changing execution.

  • Inspect agent intent
  • Evaluate policy and context first
  • Require approval for narrow paths
  • Emit evidence on every action
01

Inspect Agent Intent

Capture agent identity, requested tool, target resource, session state, and surrounding context.

02

Evaluate Policy and Scope

Match requested behavior against tool policy, memory rules, approval requirements, and environment constraints.

03

Allow, Block, or Hold

Release low-risk actions, block unsafe ones, or pause execution until approval and context are complete.

04

Preserve Decision Evidence

Store the actor, tool, policy result, approval chain, and execution outcome as one durable control record.

Good Fit

Where ARBITER makes sense first.

ARBITER works best when a small number of agent actions or tool boundaries carry outsized operational risk and need explicit approval discipline.

Tool-enabled agents

Internal agents and assistants that can reach code, data, deployment, or messaging tools.

Approval-heavy workflows

Actions that should pause before merge, deploy, delete, publish, or change access.

Memory and context boundaries

Teams that need to define what context an agent may carry forward before it becomes action.

Controlled rollout

Start with one agent, one tool, or one approval-sensitive path instead of re-architecting every workflow.

Public Review Material

Public material structured for agent governance review.

The public pack covers agent boundary design, shared policy objects, and evidence structure. Environment-specific execution detail follows direct review.

Boundary

Execution Boundary Guide

See where ARBITER sits between agents, tools, approval services, and downstream systems.

  • Tool routing, action classes, and boundary insertion points.
  • Approval routing for high-impact external operations.
Open guide
Policy Model

Decision Object

Review the shared rule shape used to classify agent intent, match scope, and return allow, block, or approval-required.

  • Agent identity, tool constraints, scope, and reason-code fields.
  • Fail-closed behavior when context or approval is missing.
Open policy model
Audit

ARBITER Record Shape

Inspect the fields preserved before execution so tool-use review does not depend on prompt logs alone.

  • Agent, user, tool, session, policy ID, and approval state.
  • Outcome timing and evidence fields attached to the action path.
Open audit schema
Request Review

Open an ARBITER review.

Share the agent surface, tool boundary, and control goal.

Scope

Agent type, tool access model, memory usage, and approval requirements.

Routing

Initial intake is routed through Formspree and forwarded to contact@varuxcyber.com.

Response

We reply with fit, follow-up questions, or the next review step for the agent surface.

Internal agents, tool-enabled assistants, and approval-heavy AI workflows. contact@varuxcyber.com
Open Review Pack

Initial intake is routed through Formspree. If you prefer direct outreach, email contact@varuxcyber.com.