How Peridot Works
Peridot is designed as a control layer that operates across your AI systems, data sources, and integrations.
It separates control from execution, allowing you to govern AI usage without disrupting how teams build and use AI.
Architecture overview
Peridot uses a dual-layer architecture:
Control Plane (Peridot Cloud)
Policy definition and enforcement
Metadata and configuration
Audit logs and traceability
Workflow orchestration
Data Plane (Customer Environment)
Data processing
Model inference (via BYOK or customer-controlled access)
Integration execution
Application runtime
This separation ensures that sensitive data remains within your environment while control logic remains centralized.
The control flow
Peridot operates across a continuous lifecycle:
1. Discover
Peridot identifies all AI tools and systems in use across your environment.
This includes both sanctioned and shadow AI usage.
2. Monitor
Peridot tracks how data flows into and out of AI systems.
This includes:
What data is being used
Which models are involved
Where outputs are sent
3. Control
Policies are applied to govern behavior.
This includes:
Model access controls
Data restrictions
Integration permissions
Approval requirements
4. Enforce
Peridot enforces policies in real time.
This may include:
Blocking actions
Re-routing model usage
Triggering approvals
Logging violations
5. Respond
When issues occur, Peridot creates incidents.
These incidents can trigger:
Alerts
Workflows
AI incident playbooks
6. Audit
All activity is recorded and traceable.
This includes:
Inputs and outputs
Policy decisions
Model usage
Actions taken
Model control
Peridot supports:
Multiple model providers
Bring your own keys (BYOK)
Policy-based routing
Structured outputs and citations
Model usage is governed by policy, not by individual application configuration.
Why this matters
Without a control layer:
AI usage is fragmented
Data exposure is unmanaged
Policies are unenforced
Auditing is incomplete
Peridot centralizes control without slowing down AI adoption.
What to do next
Start with AI Inventory Overview to discover AI usage
Define your first Policies to begin enforcement