Finance
Control data scope and action privileges in queries, workflow processing and business assistance.
Zero-Trust AI Agent Execution Control
Every Agent action passes a security gate before execution
AgentArbiter is a zero-trust execution control platform independent of any model or Agent framework. It establishes a unified control plane between Agents and enterprise tools, data and systems, so every tool call, data access and system action receives an independent, deterministic security decision before it happens.
For agent tool use and automated operations
Control data scope and action privileges in queries, workflow processing and business assistance.
Connect knowledge bases, systems and public services while preserving data boundaries and auditability.
Constrain professional-data access and production actions where mistakes have real-world impact.
Defend APIs, scripts and developer tools against prompt injection, tool abuse and cascading risk.
Independent decisions · Controlled execution · Audit trail
No automatic trust for internal models, no carry-over trust from the previous action, and no delegation of security decisions to the Agent itself. Every execution request enters arbitration as an independent event.
Evaluate actor, target, data scope, runtime context and enterprise policy before execution, then retain a complete decision record.
The Agent requests a tool call, data access or system action.
Validate actor, target, data scope and runtime context.
Produce an independent, deterministic policy decision.
Execute according to allow, deny or approval results with full audit.
Independent decisions · Controlled execution · Audit trail
Extract security controls from individual models, frameworks and plugins into a shared foundation for unified deployment, decisions, audit and operations.
Make security decisions before calls occur and move the enforcement point ahead of execution.
Manage application, script and system-call actions consistently to reduce policy fragmentation and privilege drift.
Independent of model self-judgment and any single Agent framework, preserving room for future models and tools.
Record action origin, target, decision and result for investigation, review and compliance.
Coordinate with existing SIEM and SOC workflows for unified monitoring and response.
Support private and hybrid-cloud deployment across different infrastructure and data-boundary requirements.
Support private and hybrid-cloud deployment across different infrastructure and data-boundary requirements.
Talk to us about business fit, product demonstrations and implementation.