Put AI to work with trust, from the plant floor to the boardroom.
Security. ROI. Governance. One enforcement layer, three provable outcomes.
The platform
Everything reads from the same governed request.
One enforcement layer. Cost, risk and compliance are computed directly from what actually happened.
Sensitive data is caught before it leaves.
Every request is inspected before it reaches a model. Personal data is detected and redacted, policy violations are blocked, and prompt-injection attempts are caught in-flight, in a sub-10ms hot path.
- Personal data is detected and redacted before any model provider receives the request
- Policy blocking runs on live budget limits and content rules
- Every decision is logged and traceable to the exact request
Know exactly what each use case spends.
Spend rolls up from the individual use case through the application, to the department, to the enterprise. When a budget owner asks what they are paying for, the answer is a real breakdown.
- Cost is attributed at four levels: use case, application, department, enterprise
- Documented savings are measured against a baseline you define
- Duplicate and low-value requests are surfaced automatically
One number, built from four weighted signals.
Data-loss exposure, compliance readiness, shadow AI exposure and vendor risk combine transparently into one score. When a signal has no data yet, it is shown as missing rather than estimated.
- Four independently weighted components, each traceable to its own real data
- Missing data is shown as missing
- Unauthorised AI tools on your network are detected automatically
Compliance evidence built from what actually happened.
SOC 2, HIPAA, NIST AI RMF, the EU AI Act and ISO 42001: evidence accumulates continuously from real governed traffic.
- Evidence counts are computed from real request-level activity
- Coverage is shown honestly, including frameworks not yet started
- A durable, queryable audit trail
See the AI tools your team is already using.
Network-level detection identifies unsanctioned AI tools in active use, before they become an incident. Every detection carries a risk classification.
- Detects unauthorised AI usage at the network level, independent of what employees disclose
- Each detected tool is risk-classified
- Feeds directly into the same composite risk score
Built for
Different questions. One real source of truth.
The same governed data, answering what each leader actually needs to know.
For the CFO
Know what AI is actually costing, and where.
- Real spend attributed to the application and use case
- Documented savings measured against a baseline you control
- Duplicate and low-value AI usage surfaced automatically
- One integration point across every model and provider
For the CISO
Enforce policy before data leaves.
- Personal data detected and redacted in-flight, before a model ever sees it
- Prompt-injection attempts blocked at the request level
- Shadow AI usage detected at the network level, independent of disclosure
- A composite risk score built from real, weighted signals
For the Chief AI Officer
Prove the programme is working, with real evidence.
- One governed dataset behind cost, risk and compliance, always in agreement
- Compliance evidence generated continuously from real activity
- KPIs tracked to a defined goal, honestly marked when off target
- A defensible, board-ready record of what AI governance delivered
Early access
See your own AI traffic governed this way.
Request access and we will follow up directly to understand your environment before anything else.
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