Agent Trust Hub
Agent activity connected to data trust signals, lineage, and costs
Every agent in production comes with the same questions: which ones are active, what data they're accessing, where trust signals surface issues, and what it's all costing. Agent Trust Hub is where those questions get answered. The Discovery and Insights tier of the Bigeye AI Trust Platform, built for enterprises where agents are no longer just a pilot.
No credit card required. Trial is available for Snowflake Intelligence and Claude Code users.
Enterprise teams have agents in production but no structured view of what they're doing.
Many enterprise teams can't see which AI agents are active right now, what conversations are running, or which business data those agents are touching. Usage is scattered across tools. Costs are growing in ways that are hard to attribute. And when something goes wrong, there's no structured record connecting what happened to which agent, which data source, or which team owns the relevant systems.
Teams that try to get this picture manually spend time aggregating logs, chasing data owners, and working without reliable context about data quality, classification, or governance status. By the time anyone has a clear view, the cost has grown and the risk has compounded.
Teams get that picture with Agent Trust Hub. Connect your agentic sources, build an agent registry, and review AI trust signals connected to every agent conversation in your program, without changing the infrastructure you already have.
What Agent Trust Hub gives your team
Agent registry
Know what's running. Teams build a structured inventory of every connected agent and conversation, with visibility into which agents are active, which sources they use, and how activity is distributed across tools and workflows.
Data access mapping
See what data your agents are acting on. Teams map agent conversations to business data sources, with data quality, classification, lineage, governance, and ownership context attached to every conversation.
AI trust signals
Review AI trust signals for every agent conversation: data quality, data classification status, lineage, governance, and policy context. Teams identify where stale, sensitive, or ungoverned data is in use and where review is needed before it becomes a problem.
Usage and cost visibility
Track token usage and cost by agent, user, workflow, or conversation. Teams see where costs are growing, which agents are driving usage, and where consumption patterns need attention before programs scale further.
Foundation for enforcement
Teams ready to move from visibility into enforcement use the agent registry, trust signals, and data context already built in Discovery and Insights as the foundation for AI Guardian, the Policy and Runtime Controls tier. Both tiers run in the same environment.
From scattered agent activity to structured visibility
Connect your agentic sources
Connect Snowflake Intelligence, Databricks Genie, Claude Code, or other supported sources. Your agent registry builds automatically as conversation activity comes in from connected sources.
Review data access and AI trust signals
See which business data your agents are touching, with data quality, classification, lineage, governance, and cost context for each agent conversation in your program.
Identify where attention is needed
Use your agent registry and AI trust signals to find where stale data, sensitive data, cost growth, or unclear activity requires review. Teams ready to move from visibility to enforcement expand into AI Guardian within the same environment.
Agent Trust Hub within the Bigeye AI Trust Platform
Agent Trust Hub is structured in two tiers. Discovery and Insights, the first tier, gives teams an agent registry, data access mapping, cost and token visibility, and the AI trust signals that correspond to each agent conversation.
Discovery and Insights
An agent registry, data access mapping, cost and token visibility, and the AI trust signals that correspond to each agent conversation, all in one environment.
Agent registry and conversation mapping
Data access visibility with AI trust signals
Cost and token usage by agent and workflow
Data quality, classification, lineage, and governance context
Policy and Runtime Controls
AI Guardian is included in the second tier. Teams that start with Discovery and Insights can expand into AI Guardian when their programs are ready for runtime enforcement, guardian agents, and accountability workflows.
Guardian agents deployed alongside operational agents
Runtime policy enforcement with configurable rules
Data Classification controls applied at runtime
AI Governance Workflows and complete audit trail
Both tiers run within the same Agent Trust Hub environment. No separate product to procure. No new infrastructure to build.
Learn about AI Guardian →Works with the agents your teams are already using
Agent Trust Hub connects to the agentic tools your teams are already using, giving you a single view across your AI agent hub without adding separate infrastructure.
The 30-day free trial is available for teams using Snowflake Intelligence or Claude Code.
Common questions
Is AI Guardian a separate product from Agent Trust Hub?
AI Guardian is the Policy and Runtime Controls tier of Agent Trust Hub. Teams access it within the same environment where agent discovery and monitoring already run.
What are AI trust signals?
AI trust signals are the data quality, classification, lineage, governance, and policy indicators that connect agent activity to the underlying data environment. Teams use AI trust signals to understand whether the data their agents are acting on is accurate, governed, and appropriate for the task, and to identify where review is needed.
What's the difference between Agent Trust Hub and AI Guardian?
Agent Trust Hub has two tiers. Discovery and Insights focuses on visibility: agent registry, data access mapping, AI trust signals, and cost tracking. AI Guardian is the second tier, Policy and Runtime Controls. Teams ready to move from visibility into runtime enforcement and accountability workflows expand into AI Guardian within the same environment.
Which tools does Agent Trust Hub support?
Agent Trust Hub will supports Snowflake Intelligence, Databricks Genie, Claude Code, Microsoft Copilot, and Salesforce Agentforce. The 30-day free trial is available now for teams using Snowflake Intelligence or Claude Code.
Who is the free trial for?
The 30-day free trial is available for teams using Snowflake Intelligence or Claude Code. Teams can connect agentic sources, build an agent registry, review data access and AI trust signals, and explore both tiers of Agent Trust Hub. No waitlist and no sales call required.
Does Agent Trust Hub replace our existing data or governance tools?
Agent Trust Hub connects to existing AI, data, governance, and legacy systems rather than replacing them. It centralizes AI trust signals from tools already in use, giving teams a single view of agent activity without requiring changes to existing infrastructure.
Start understanding your agent activity instantly.
Connect your sources, get your agent registry up, and start reviewing AI trust signals across your data estate.
No credit card required.