For the Chief Information Security Officer
Govern AI without losing the perimeter.
AI adoption opened a new path for sensitive data to leave the building. Meilynx puts a control point in that path — enforcing access, detecting PII and MNPI inline, and keeping raw payload inside infrastructure dedicated to your organization.
The exposure you manage
A new egress path for your data.
Every prompt is a potential data-exfiltration channel, and every model is a third party. The controls you apply everywhere else have to reach AI too.
- Sensitive data leaving in prompts — PII, MNPI, secrets.
- Unmanaged access to models and tools across teams.
- No durable record of what AI systems did, for IR or audit.
- Third-party model and vendor exposure.
How Meilynx answers
The same controls, applied to AI.
Access, data protection, monitoring, and audit — the disciplines you already run, extended to the AI request path.
- PII and MNPI detection with inline redaction or block.
- Model allow/deny and tool controls with role-based access.
- A per-customer isolated data plane — raw payload never leaves.
- A tamper-evident audit trail for incident response and exams.
Get started
Put a control point in the AI data path
See inline enforcement, data isolation, and the audit trail on real traffic.