Browser / Public AI Governance
Public AI surfaces need real governance.
ChatGPT, Copilot, and Gemini create execution surfaces outside approved internal applications. Governance has to reach the browser.
Use Cases
Use Cases for an AI Governance Platform
AgentID helps organizations govern AI where real operational risk appears: in browser AI usage, API-based AI systems, internal copilots, agent workflows, and regulated environments. These use-case pages explain where governance complexity shows up, why traditional tools are not enough, and how an AI Governance Platform fits into the stack.
Public AI Governance
Browser AI Governance for ChatGPT, Copilot, and Gemini
Organizations cannot govern ChatGPT, Copilot, and Gemini usage with policy documents alone. Real governance in browser-based AI requires visibility into prompts, file uploads, sensitive data exposure, and execution flows before risky disclosures happen. This is where browser governance becomes part of a broader AI Governance Platform.
Runtime AI Governance
AI API Gateway Governance for Production AI Systems
Teams building custom AI systems need more than API connectivity and monitoring. They need governance at the runtime layer: controls before execution, observability during operation, and evidence after the fact. That is the role of an AI Governance Platform for API-based AI systems.
Auditability and Evidence
Audit Evidence for Regulated AI Systems
Regulated and high-scrutiny AI systems require more than governance claims. They require operational evidence: logs, controls, oversight records, traceability, and reviewable artifacts that show how the system actually behaves. This is where an AI Governance Platform becomes critical.
API / Runtime Governance
API connectivity is not enough.
Production AI systems need pre-execution controls, observability, audit trails, and evidence tied to real runtime behavior.
Audit Evidence / Regulated AI
Evidence has to come from the system.
Regulated AI and enterprise review require more than policy claims. They require reviewable operational records and evidence.
Coming Next
More deployment scenarios
Internal copilots and vertical-specific governance pages are prepared as the next wave.
Internal Copilot Governance
Second waveA use-case page for employee-facing copilots focused on approvals, usage visibility, auditability, and governance around internal AI workflows.
Finance AI Governance
Second waveA high-scrutiny finance-focused page covering oversight, auditability, evidence, and runtime governance for AI systems in finance environments.
HR AI Governance
Second waveA page for sensitive HR AI workflows focused on accountability, evidence, human oversight design, and governance around high-impact decisions.