AI Guardian
Govern how your AI agents act on business data
Enterprise teams use AI Guardian to enforce data access policies, deploy guardian agents, protect classified data, and create accountability records at the moment agents act. Everything runs within Agent Trust Hub, drawing on trust signals already present in the platform.
No credit card required. Available for Snowflake Intelligence and Claude Code users.
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Most teams have agents in production. Few have controls to govern them.
Teams that have mapped agent activity and reviewed trust signals reach the same point: they know what their agents are doing, but they have no mechanism to act on it.
Agents are accessing sensitive and classified data. Agents are running on stale or ungoverned sources. Teams have no governed record of what agents have done or what data they accessed. The gap between understanding and enforcement is where business risk accumulates, and most enterprise teams have no clear path to close it without procuring a separate governance product or building controls from scratch.
AI Guardian closes that gap. Enterprise teams get runtime enforcement, guardian agents, and accountability infrastructure built into the same Agent Trust Hub environment where agent discovery and monitoring already run.
AI Guardian capabilities
Guardian agents
Guardian agents run alongside operational AI agents and evaluate data access, flag sensitive or ungoverned data, and guide agents toward approved sources. Teams configure and manage guardian agents within Agent Trust Hub without building or procuring a separate system.
Runtime policy enforcement
Teams configure policies that apply rules at the moment agents act: warn, route, restrict, send for review, or block, based on data quality, classification, governance status, and ownership context from the Bigeye AI Trust Platform.
Data Classification controls
AI Guardian uses Data Classification context already present in the platform to identify and protect sensitive data at runtime. Agents operating on business data stay within their permitted scope.AI Governance Workflows
AI Governance Workflows
Teams connect agent activity, policy decisions, and trust signals into structured review and sign-off processes. Data owners, compliance teams, and AI program leads manage exceptions, escalate issues, and document decisions within Agent Trust Hub.
Audit trail and accountability
Teams get a complete record for every agent interaction: what ran, what data was accessed, which policies applied, and who owns the relevant systems and data. That record is available when leadership, auditors, or regulators need it.
From agent visibility to agent control
Connect and discover
Start with Agent Trust Hub's Discovery and Insights tier. Connect agentic sources, build an agent registry, map data access, review trust signals, and understand cost and token usage across your AI program.
Identify where enforcement is needed
Review where agents are accessing sensitive or ungoverned data, where data quality or classification signals indicate risk, and where your program needs policy controls before it can scale further.
Deploy AI Guardian
Expand into Policy and Runtime Controls within the same Agent Trust Hub environment. Deploy guardian agents, configure runtime policies, activate Data Classification controls, and set up AI Governance Workflows, all on the foundation already in place.
What are guardian agents?
Guardian agents are a class of AI agent that monitor and govern the behavior of other agents running in enterprise environments. Rather than executing business tasks, guardian agents evaluate what operational agents are doing, what data they are accessing, and whether that activity aligns with organizational policy, in real time.
Bigeye AI Guardian includes guardian agents as part of a broader set of policy and runtime controls. Enterprise teams deploy them alongside runtime policy enforcement, Data Classification controls, and AI Governance Workflows to govern how agents interact with business data at scale.
AI Guardian within Agent Trust Hub
Agent Trust Hub is structured in two tiers. The first, Discovery and Insights, gives teams an agent registry, data access mapping, cost and token visibility, and the trust signals that correspond to each agent conversation.
Discovery and Insights
An agent registry, data access mapping, cost and token visibility, and the trust signals that correspond to each agent conversation.
Agent registry and conversation mapping
Data access visibility with trust signals
Cost and token usage by agent and workflow
Data quality, classification, and lineage context
Policy and Runtime Controls
Teams that begin with Discovery and Insights expand into AI Guardian within the same environment when their programs are ready for enforcement. The trust signals from Data Observability, Data Classification, Data Governance, and lineage are already present. AI Guardian applies them at runtime.
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
Teams that expand from Discovery and Insights into AI Guardian stay within the same environment, the same integrations, and the same trust signal infrastructure.
Vendor
Recognized by Gartner
Bigeye is named as a Representative Vendor in the Gartner Market Guide for AI Guardian Agents, a report covering vendors that address the governance of AI agents in enterprise environments, including runtime policy controls, guardian agent capabilities, and agent accountability.
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.
Do we need to use Tier 1 before accessing AI Guardian?
Agent Trust Hub is designed so teams start with Discovery and Insights and expand into AI Guardian when their programs are ready for enforcement. Both tiers are available within the platform.
What integrations does AI Guardian support?
At launch, AI Guardian works with Snowflake Intelligence and Claude Code through Agent Trust Hub. Support for Databricks Genie, Microsoft Copilot, Salesforce Agentforce, and additional sources is planned across the next three quarters.
How does AI Guardian connect to our existing governance tools?
Agent Trust Hub connects to existing AI, data, and governance systems. AI Guardian applies enforcement based on trust signals from Bigeye's own Data Observability, Data Classification, and Data Governance modules, as well as from third-party tools already in use.
Does AI Guardian replace our data security or compliance tooling?
Agent Trust Hub centralizes signals from existing enterprise systems. AI Guardian adds runtime enforcement for agent activity specifically, drawing on data trust context already present across your stack.
Who is the free trial for?
The 30-day free trial is open to teams using Snowflake Intelligence or Claude Code. Connect agentic sources, review data access and trust signals, and explore both tiers of Agent Trust Hub. No waitlist and no sales call required.
Start governing agent activity today
A 30-day free trial is available for teams using Snowflake Intelligence or Claude Code. Connect agentic sources, build an agent registry, review data access and trust signals, and explore AI Guardian capabilities, all within Agent Trust Hub.
No waitlist. No sales call required.