Protection while AI is working
Hardware-backed protections help keep approved workloads private while they run, alongside encryption for stored data and network connections.
Designed around
- Protection during processing
- Customer-controlled keys
- Verifiable deployment
01Confidentiality
Your infrastructure provider should not need access to your work.
Your AI environment can contain far more than prompts. It can hold source code, business documents, model weights, browser sessions and the credentials your agents use. Jipa's confidential deployment approach is designed to protect that entire working environment.
Access stays under your control
You control who can enter your environment and the policies for releasing your encryption keys. Our infrastructure administration is separated from your protected workspace.
Verify before you trust
Check the approved environment before releasing sensitive data or model keys. Your security team can review the protection scope and the evidence behind it.
Fig. AIllustration of a confidential deployment
Customer key control
Keys stay with the customer and are released only to an approved environment
Customer's protected environment
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ModelWeights and configuration01
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Agent workspaceFiles, code and approved tools02
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Private filesDocuments, data and credentials03
Supplies the compute, outside the protected environment
- In useHardware-backed protectionApproved workloads stay private while they run
- At restEncrypted storageStored data and model files stay encrypted
- In transitEncrypted connectionsNetwork connections are encrypted
Confidential capabilities and availability will be confirmed in your deployment proposal.
02How it works
From your requirements to a confidential AI environment
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Step 01
Define what needs to stay private
Tell us what you want to run, who needs access and which systems your AI should connect to. We agree the deployment, responsibilities and data-handling requirements with your team.
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Step 02
Prepare the environment
We provision suitable compute and prepare the software with you. You approve the model, tools, access settings and security configuration before confidential material is introduced.
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Step 03
Verify and connect
The environment is checked against your approved policy before keys are released. Connect your application or enter your private workspace to begin using your model and tools.
03Platform
The compute and tools to build useful AI
Confidential model hosting
Deploy a supported open-weight or proprietary model in a protected environment. Keep control of the weights, configuration and people who can use it.
Private agent workspaces
Give your team an AI workspace with the files, code and approved tools needed to complete real tasks.
An API your developers can use
Connect applications through an OpenAI-compatible API, with capabilities confirmed for your selected model and deployment.
Control of your environment
Install approved software, choose your agent tools and set access policies for your team. Deployment options are matched to your security and operating needs.
Compute matched to the workload
Choose resources around model size, expected traffic and confidentiality requirements. We help you assess performance before committing to production capacity.
Clear operating visibility
Review agreed usage and service-health information while keeping prompts, documents and other private content inside your protected environment.
Build with AI. Keep control of your confidential work.
Run proprietary models and work with sensitive information in a protected AI environment. Plan confidential inference and private agent workspaces around your security, access and compute requirements.
Discuss your deployment04Private agent workspaces
Give your AI a private place to work.
Move beyond a chat window. Build an agent workspace that can work with documents, write and run code, use a browser and connect to the business tools you approve. Keep its files, sessions and credentials within your controlled environment.
| Capability | What your team can do |
|---|---|
| Files and documents | Review reports, extract information and prepare new documents. |
| Code and terminal | Build applications, run scripts and work with your repositories. |
| Browser tools | Research websites and carry out approved browser tasks. |
| Business connections | Connect authorised data sources and tools through approved connectors and APIs. |
| Action permissions | Define tool access and require approval for sensitive actions. |
You decide which tools are enabled, which services can receive information and which actions need approval. External services receive the data you choose to send to them under their own terms.
05Use cases
Put confidential information to work
Assistants for internal knowledge
Help your teams find answers across authorised policies, manuals and company documents, with access aligned to their roles.
Proprietary model deployment
Bring a fine-tuned or privately developed model into production while protecting the weights and the knowledge they represent.
Private software development
Give coding agents controlled access to your repositories, development tools and project files.
Document and workflow automation
Extract information, draft outputs and run approved workflows over sensitive business material.
Specialist AI workloads
Discuss confidential deployment for supported vision, speech, embedding and language models.
06Service options
Choose how you want to use Jipa
Your proposal sets out compute capacity, deployment support, security responsibilities and operating costs before you commit.
07Why Jipa
Practical AI infrastructure, backed by Taqadum
Jipa is Taqadum's AI infrastructure service, developed alongside Taqadum Sigma's GPU and AI infrastructure practice. We help organisations put models and agents to work with confidentiality at the centre of the deployment.
- A
Confidentiality shapes the deployment
Access, keys and data handling are part of the design from the start.
- B
Work directly with the technical team
Discuss your model, workloads and security requirements with the people preparing your environment.
- C
Build around your requirements
Choose the model, tools and deployment approach that fit the way your organisation works.
- D
Support with clear boundaries
Agree how installation, updates and troubleshooting are handled, including any access your team chooses to authorise.
Your infrastructure provider should not need access to your work.
08FAQs
Before you commit
Can we choose where our data is hosted?
We confirm the hosting location and applicable storage, backup and support arrangements in your proposal. Tell us your residency requirements before deployment.
Does confidentiality mean there are no security risks?
No system removes every risk. Your approved software, authorised users, connected services and devices remain part of your security responsibilities. We define the protection scope and remaining responsibilities with your team.
Can we bring any model or application?
We review compatibility, licensing, resource needs and security requirements before deployment. Your technical proposal identifies the supported models, tools and capabilities.
Questions about administrator access, encryption keys, verification and agent tools are covered in your deployment discussion. Start the conversation
Contact
Bring your AI plans. Keep your confidential work private.
Tell us what you want to build and what needs to stay protected. We will help you plan the compute, tools and access arrangements for a confidential deployment.
Confidential capabilities and availability will be confirmed in your deployment proposal.
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