Platform
One control plane between your people and every model.
Griffin sits in the path of enterprise AI traffic. It sees the interaction, applies your data policy before anything leaves the business, selects an approved model for the workload and records the evidence.
Protect
Stop confidential data leaving the business.
Discovery
Content for shadow AI discovery across browsers, desktop applications and APIs.
Inline inspection
Content for prompt and attachment inspection prior to egress.
Policy enforcement
Content for block, redact, warn and allow decisions by data class.
Transform
Preserve utility while removing sensitive detail.
Redaction
Content for deterministic redaction of identifiers and regulated data.
Tokenisation
Content for reversible tokenisation and re-identification on return.
Context minimisation
Content for reducing payloads to the minimum required context.
Route
Send each workload to the right model.
Model catalogue
Content for the approved model catalogue and per-model constraints.
Routing policy
Content for routing by data class, cost ceiling and task complexity.
Fallbacks
Content for failover and capacity handling across providers.
Govern
Evidence, attribution and control.
Audit trail
Content for immutable records of decisions and policy versions.
Token metering
Content for token and cost attribution by team, user and workload.
Reporting
Content for board and regulator-ready reporting packs.
Scope
What Griffin does not do.
Griffin governs what leaves the business: the prompts your people write, the content they paste, the attachments they upload and the model each request is sent to.
Defending against prompt injection, jailbreaks and malicious model output is an adjacent problem, and so is governing autonomous agents acting with their own credentials. Griffin does not address either today.
This is a deliberate boundary: we would rather do the egress decision properly than cover the field thinly.
Discuss your AI governance programme
Griffin is working with a small number of design partners in regulated sectors. If you are accountable for how AI is used across your organisation, we should speak.