Secure LLM Integration

Enterprises do not have an LLM problem; they have a governance problem. We integrate large language models into your environment under board-grade controls — auditability, residency, redaction, rate-limiting, and cost containment built in from day one.

Outcomes we engineer for

• Tenant-isolated, residency-aware deployment topology
• Centralised redaction, audit trails, and policy enforcement
• Cost and rate-limit governance at the team and use-case level
• Compliance posture aligned to GDPR, POPIA, SOC 2, and ISO 27001

How we build it

1. 01

   1. Threat & data-classification model

   Inventory the data classifications that will touch the LLM, the regulatory regimes in play, and the threat surface. Deployment topology follows.

2. 02

   2. AI gateway

   A single ingress point for every LLM call — tenancy, redaction, prompt injection defenses, rate limits, and cost attribution applied centrally.

3. 03

   3. Identity-bound observability

   Every prompt and response is logged with the originating identity, policy decisions, retrieved sources, and cost. Audits become tractable.

4. 04

   4. Lifecycle & model governance

   Model registry, evaluation gates, deprecation playbooks, and a documented appeal path for rejected outputs. Production-grade, not pilot-grade.