Secure AI Implementation Consulting

The problem

• Teams are shipping AI features faster than they can assess the risks.
• The risk changes with exposure. An internal assistant and a customer-facing agent need different controls.
• Prompt injection, data leakage and over-permissioned tools are new attack surfaces most programs don't test yet.

Three exposure stages

1. Stage 1

   Internal

   AI services used by your own staff. Establish data boundaries, access controls and logging before anything faces outward.

2. Stage 2

   Partially exposed

   Services that reach partners or a limited audience. Test for prompt injection, data leakage and abuse paths as exposure grows.

3. Stage 3

   Customer-exposed

   Production AI that faces your customers. Adversarial testing, guardrail validation and monitoring at full exposure.

How we test

1. 01

   Assess where you are

   We map each AI service to its exposure stage and the controls that stage requires.

2. 02

   Test before you widen exposure

   Offensive testing of each service against the threats that matter at its next stage.

3. 03

   Iterate

   Controls and testing evolve as services move from internal to customer-exposed.