Core Surface
Runtime and API governance for AI systems and AI agents in production.
Use Cases
Use Cases for an AI Governance Platform
AgentID use cases show where governance becomes operational: in runtime AI systems, public AI interfaces, and high-scrutiny deployment environments.
AgentID governs AI across two primary surfaces: core runtime and API governance for AI systems and AI agents, plus browser governance for public AI tools and Shadow AI. Both belong to one AI Governance Platform.
Featured Use Cases
Production AI Deployment Scenarios
Start with the scenarios that map most directly to AgentID's current platform surfaces, from core runtime governance to browser and high-scrutiny deployments.
Core Runtime Governance
AI API Gateway Governance for Production AI Systems
Add pre-execution controls, observability, audit trails, and evidence to API-based AI systems and AI agents.
Best fit for teams building custom AI products, agents, and tool-connected workflows where governance has to sit in the runtime and API path.
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Auditability and Evidence
Audit Evidence for Regulated AI Systems
Turn runtime behavior into reviewable records, traceability, audit trails, and compliance evidence for high-scrutiny AI deployments.
Best fit for enterprise review, regulated deployment, and buyer scrutiny where teams need to prove how AI systems behave in practice.
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Browser Governance Extension
Browser AI Governance for ChatGPT, Copilot, and Gemini
Govern public AI interfaces with browser-layer controls for prompts, uploads, sensitive data exposure, and Shadow AI visibility.
Best fit when employees use ChatGPT, Copilot, or Gemini directly and policy alone is too weak to govern prompts, uploads, and Shadow AI exposure.
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Additional Scenario
Internal Copilot Governance
Internal copilots create a production governance problem inside the company, not only at the public AI edge. Teams need runtime controls, approvals, observability, and evidence across employee-facing AI workflows so copilots stay useful without becoming an unmanaged operational layer.
Useful for organizations deploying employee-facing copilots across support, operations, and internal knowledge workflows.
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Additional Scenario
Finance AI Governance
Finance AI use cases require more than generic AI monitoring. Teams need runtime governance, auditability, evidence, and reviewable controls for workflows where approvals, risk handling, and operational accountability matter.
Useful where financial workflows, approvals, risk controls, and audit expectations make runtime reviewability non-optional.
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Additional Scenario
HR AI Governance
HR AI use cases are rarely low-risk operational experiments. They often involve sensitive people workflows where accountability, oversight design, retained evidence, and reviewable records matter more than generic AI monitoring.
Useful for sensitive people workflows where oversight design, accountability, and retained evidence matter more than generic AI monitoring.
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Product Hierarchy
One platform across runtime AI systems and public AI interfaces
AgentID starts with runtime AI governance and extends to browser AI governance, internal copilots, and high-scrutiny deployment scenarios through one AI Governance Platform.
Extended Surface
Browser governance for ChatGPT, Copilot, Gemini, and Shadow AI.
Next Scenarios
Internal copilots, finance, HR, and other high-scrutiny deployment environments.