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: it enforces access, detects PII and MNPI inline, and keeps raw payload inside infrastructure dedicated to your organization.
control point · ai egress path
- PROMPTPII flaggedaccount no. in user message
- PROMPTMNPI blockedpre-announcement revenue figure
- REQUESTModel deniednot on the allowlist for this team
- RESPONSESecret maskedAPI key in model output
raw payload never leaves your perimeter
The exposure you manage
A new egress path for your data.
Each prompt is a potential data-exfiltration channel, and each 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 block or warn; PHI redacted in flight.
- Model allow/deny and workflow-scoped tool allow/deny, with approval gates on consequential actions.
- A per-customer isolated data plane; raw payload never leaves.
- A tamper-evident audit trail for incident response and exams.
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Put a control point in the AI data path
See inline enforcement, data isolation, and the audit trail on real traffic.