Bigeye Released Policy Engine for Agent Trust Hub
The new feature automates agent identity verification and data access restrictions within enterprise AI environments.
Updated on Oct. 14, 2026 in Artificial Intelligence
Live Poll
Do you believe AI agents should always be subject to strict human-defined data access policies?
Data observability company Bigeye has introduced its Policy Engine, a new feature for its Agent Trust Hub that evaluates agent authorization and data quality before granting access. The tool is currently in beta preview for existing users of the company's AI Trust Platform.
Why it matters
As enterprises scale AI agents in production, this tool aims to provide granular control over data access and regulatory compliance. It helps ensure that automated agents only interact with approved, high-quality data fields.
The Policy Engine maps agents to specific datasets, performing identity verification and checking for data freshness against predefined field policies.
The players
Bigeye
A data observability company founded in 2019 that specializes in monitoring data quality and reliability across enterprise stacks.
The details
The engine functions as a gatekeeper that evaluates agent requests in real-time, mapping each agent to its permissible data scope. It verifies the identity of the agent, checks the requested action against defined parameters, and inspects data for quality or restricted status before authorization. This process ensures that agents do not ingest sensitive or non-approved fields, maintaining data governance as the agents operate.
Timeline
Bigeye was founded in 2019.
The AI Trust Platform was introduced in June 2025.
The Policy Engine feature was launched on October 14, 2026.
The Tech Race
This release follows the June 2025 debut of Bigeye's AI Trust Platform. It signals a shift from passive data observability toward active governance within the broader enterprise AI agent ecosystem.
Existing users of the Agent Trust Hub can access the beta preview of the Policy Engine immediately. Developers should note that this feature is specifically designed to integrate into existing production workflows that require strict data access controls.
The takeaway
The addition of Policy Engine represents a pivot toward secure, automated data gatekeeping for enterprise AI agents. Users should monitor the transition from the current beta preview to a general release for potential updates to policy configuration capabilities.
Further reading
For more on how enterprise systems are managing AI deployment, see our coverage in Artificial Intelligence.
Live Poll
Do you believe AI agents should always be subject to strict human-defined data access policies?
