WHY IFTAH AI
Deploy a governed AI stack inside your approved environment without assembling identity, policy, data controls, model and tool routing, approvals, audit and operations from scratch.
THE PRODUCTIZED PRIVATE-AI PATH
IFTAH AI
Governed models, agents and tools inside your environment
Each route can be valid. The difference is who defines the deployment environment, who owns the integration work and how repeatable the production model becomes.
Model and infrastructure choice stays with your organization.
ONGOING OWNERSHIP
Your organization integrates provider controls with its identity, data, risk and audit requirements.
Iftah does not remove customer responsibility. It turns a fragmented build into a maintained platform with an explicit operating model.
Governance sits in the execution path—not beside it. Each stage can allow, deny or require approval before a model, data source, enterprise tool or external service is used.
A request or agent action passes through identity, policy, data controls, model and tool routing, approval and execution, and audit evidence. Each stage may allow, block or require approval.
Who is making the request?
Resolve the user, workload, application, role and approved identity context.
Is this use permitted?
Evaluate workload, data classification, model, destination, requested tool and policy.
Can this information be processed?
Apply configured controls to restrict, detect, mask, block or escalate sensitive content.
Which approved capability may be used?
Route to permitted models, retrieval sources, enterprise tools and approved endpoints.
May the action proceed?
Allow, require human approval or block agent tool calls and business-system actions.
What happened and why?
Record relevant context, decisions, selections, approvals, outcomes and enforcement actions.
ALLOW
The governed path continues
APPROVAL REQUIRED
Execution pauses for an authorized decision
BLOCK
The requested path stops
Configured enforcement points can deny execution when identity, policy or required controls are unavailable.
A finance agent requests an export containing restricted data. Configured classification policy blocks the tool call and records the denial before execution.
Define the approved environment and operating model before production: which data and controls remain local, which external services are permitted and how administration and support access are granted.
The Iftah control layer runs within a customer-approved environment. Optional external models, enterprise services, telemetry and support sessions connect only through explicitly enabled and policy-controlled paths.
CUSTOMER-APPROVED ENVIRONMENT
IFTAH AI CONTROL LAYER
Identity · Policy · Guardrails
Approved external model endpoint
POLICY-CONTROLLED
No universal field set is assumed. Fields, disablement, content exclusions and processing location are documented for the selected architecture before enablement.
Architecture, security and procurement teams should be able to inspect the deployment environment, dependencies, access model and control evidence before approving a production workload.
REVIEW ARTEFACTS
Shows component, data, storage and external-connection placement.
Identifies deployed components, services, connectivity and outbound operational data.
Maps relevant risks to enforcement, policy, approval and operating responsibilities.
Defines who may administer, how access is approved, duration and records.
Documents recorded requests, decisions, approvals, selections, tool calls and outcomes.
Defines transferable policies, configurations, logs and platform artefacts.
Next step