Control over the architecture
Choose the deployment and inference approach that meets the team’s requirements.
06 / ENTERPRISE & REGULATED ORGANISATIONS
Bring the mobile testing workflow into a private deployment. Scope Djini, the device fleet, and your chosen models around the infrastructure and data boundaries your organisation needs.
You ask Djini
“Run our mobile security testing in our environment, using our approved models and device fleet, with a deployment designed around our data requirements.”
What your team gets
An enterprise deployment plan covering the testing platform, device capacity, model connectivity, and the boundary for code and findings.
Access & scope
Enterprise deployment. Private cloud, on-premise, and isolated configurations are scoped separately.
THE WORK BEHIND THE OUTCOME
A team needs to know where its code, prompts, findings, and device data are processed. Build that decision into the deployment instead of assuming that choosing a model key makes the entire workflow private.
Specify where source, test accounts, findings, and execution data may be processed. Map the integrations your team needs.
Plan the Djini deployment and virtual or physical device fleet. Size the environment for your expected test workload.
Use approved model endpoints or discuss local models. An isolated deployment requires the relevant inference and dependencies to stay inside the boundary.
Connect the agreed pipeline and team workflows. Add capacity and capabilities as the evaluation establishes what the team needs.
DJINI ENTERPRISE + DEVICE LAB
Private deployment is an enterprise configuration. The exact architecture follows the infrastructure, model, and integration choices agreed for the engagement.
WHAT YOUR TEAM TAKES AWAY
Choose the deployment and inference approach that meets the team’s requirements.
Plan device capacity around your releases, automation, and research workloads.
Combine the platform, integration scope, and Academy access in the evaluation.
A few good questions
No. BYOK chooses the model endpoint. A cloud endpoint still processes the data sent to it. Keeping the full workflow local requires an appropriately configured private deployment and local inference.
Yes. The enterprise platform deck describes isolated deployment. Confirm the required models, devices, updates, and external dependencies with Djini when designing that environment.
Enterprise includes full Mobile Hacking Lab Academy access. Agree the licence and seats as part of the enterprise subscription.
PUT DJINI TO WORK
Architecture, capacity, and commercial scope agreed for your team.
THIS WORKFLOW, IN YOUR INDUSTRY