Iftah Runs Where You Choose
Deploy the platform in your cloud, data center, private network, or air-gapped location.
AI SOVEREIGNTY
Run AI Under Your Authority
Run Iftah in your cloud, data center, or offline. Control models, data, keys, agent permissions, and evidence in your environment.Run the Iftah platform in your cloud, data center, or air-gapped network. Control model selection, data, keys, agent permissions, and audit evidence from your own environment.
- Runs where you choose
- Any model, without lock-in
- AI agents follow your rules
- Evidence stays with you
The Iftah Sovereignty Commitment
Iftah puts your organization in charge of its AI infrastructure, policies, and provider choices.
The platform runs in your systems. Your team defines deployment locations, data access, model selection, agent permissions, and approved external connections.
Process Private AI in Your Environment
Your private models process prompts, files, and business knowledge directly in your environment. Model weights and responses stay within the deployment you control.
Choose Your Models and Providers
Choose the models and technology providers that fit your business. Change them when your needs change.
Authorize Support Access
Your organization approves every support engagement’s access scope and purpose before Iftah receives access.
Iftah provides the platform. You hold the authority.
How the Iftah Platform Delivers Sovereignty
Sovereignty is built into the platform. Four connected products bring deployment, governance, connectivity, and capacity planning under your authority.
IFTAH DEPLOY
Run AI Where You Choose
Deploy and manage approved models and agents in your cloud, data center, or air-gapped network. Process private AI traffic in the location your organization selects.
Your AI runs on infrastructure you control.
IFTAH CGM
Keep AI Within Your Rules
Control who can use AI, which data and models they may access, what agents can do, and when human approval is required. Every decision can be recorded where your AI runs.
Your rules govern every user, model, and agent.
IFTAH MESH
Connect Locations. Preserve Local Control.
Connect clouds, data centers, countries, and remote sites through your private network. Keep local prompts, files, models, and business data at each location.
Private connectivity with local data control.
IFTAH AI SERVICE
Plan AI Capacity With Confidence
Compare models and the computing options needed to run them. Estimate performance, capacity, and cost before choosing the setup that will run inside your systems.
Make informed model, capacity, and infrastructure decisions.
One platform to deploy, govern, connect, and plan AI under your authority.
Your AI Assets. Your Decisions.
Maintain direct authority over the data, access, and technology decisions that shape your AI program.
Set where prompts, files, business knowledge, responses, logs, and backups are processed and stored.
Select the private models and approved external services that fit each use case.
Manage identities, permissions, secrets, and encryption keys through your organization’s controls.
You decide what every AI agent may access, change, approve, or execute.
You can change models, clouds, or technology providers without replacing your Iftah controls.
Review access records, policy decisions, agent activity, and operational evidence directly in your systems.
One platform. Customer-owned assets and decisions.
The Right Environment for Every Use Case
Choose approved external AI, private deployment, or fully disconnected operation to match each workload’s requirements. Govern all three through the same platform.
Approved External AI
Use selected external models and tools when your policies allow them. Only approved users, applications, and data may connect outside.
External connections require your explicit policy approval.
Private AI
Run models and agents in your cloud or data center under your organization’s data and access policies.
Private models and data in your approved environment.
Fully Disconnected AI
Run critical AI with local models and tools in an air-gapped environment.
Independent operation in disconnected environments.
You choose the environment. Iftah applies your rules.
GLOBAL SOVEREIGN AI
Sovereign in Every Location. Connected as One.
Run Iftah across countries, clouds, data centers, and disconnected sites. Each location keeps control of its models, data, and AI processing while your team maintains one view across the organization.
- Apply consistent AI rules
- See which models and agents are active
- Review access and AI activity
- Track usage, costs, and service health
- Keep sensitive data within each location
YOUR GLOBAL AI VIEW
Policies · Agents · Usage · Costs · Evidence · Health
Runs in a location you control
Control and status only
LOCAL IFTAH INSTALLATION
Models · Data · AI Processing
Locally controlled
Local data stays local. Global control stays with you.
The Evidence Stays With You
Capture AI activity and policy decisions where the platform runs. Give your teams direct access to the evidence they need for oversight and review.
Direct access to evidence. Clear accountability for AI.
View Trust CenterSee when data stayed private or was sent to an approved external service.
See which person, application, or service used AI.
See which model or agent was used for each request.
See which rule was applied and whether an action was allowed, blocked, or sent for approval.
See who approved a sensitive request and when.
See when administrative access occurred, who received it, and what they changed.
Data Movement
See when data stayed private or was sent to an approved external service.
User and Application Access
See which person, application, or service used AI.
Model and Agent Activity
See which model or agent was used for each request.
Rules and Decisions
See which rule was applied and whether an action was allowed, blocked, or sent for approval.
Human Approvals
See who approved a sensitive request and when.
Administrative and Support Access
See when administrative access occurred, who received it, and what they changed.
Next step
Put Sovereign AI to Work
Define your first use case, deployment environment, access policies, and evidence requirements.