01
Protect sensitive data
Keep customer data, prompts and documents within the bank’s approved environment.
PRIVATE AI FOR BANKING
Bring AI into the bank without losing control
Deploy AI inside your bank-controlled environment and govern what models and agents can access, change and execute.
- Private deployment
- Controlled AI access
- Complete audit trail
Bank users and applications
Iftah AI controls
Private deployment · Controlled AI access · Complete audit trail
Bank models and data
AI adoption with banking-grade control
Give teams access to useful AI without creating uncontrolled paths to customer data, business systems, or sensitive actions.
02
Control AI agents
Define what each model or agent can access, which systems it can use and what requires human approval.
03
Demonstrate oversight
Maintain a traceable record of AI requests, policy decisions, model usage and agent actions.
A control layer between AI and the bank
Every request is checked before an AI model or agent can reach sensitive data, tools or business systems.
Operating model
How Iftah operates inside a bank
People and channels
Bank employees · Customer channels · Applications and AI agents
Iftah AI Governance Platform
- Identity
- Policy
- Approval
- Audit
Bank-controlled environment
Private and customer-hosted AI models · Bank data · Business systems
Monitoring and audit evidence
Requests · Policy decisions · Model activity · Agent actions · Human approvals
Outside customer environment
Approved external model endpoint
Explicit policy allow
View operating modelعرض نموذج التشغيل
Employees, customer channels, applications and AI agents connect through one governed platform before reaching approved models, bank data or business systems.
- Iftah AI Service
- Model serving, RAG and isolated experimentation
- Iftah CGM
- Identity, policy, approvals and audit
- Iftah Deploy
- Deployment and workload lifecycle
- Iftah Mesh
- Private connectivity and runtime protection
Optional. Traffic is permitted only when the workload policy explicitly allows this endpoint.
Where banks can start
Begin with a focused use case and apply stronger controls as AI moves closer to customer data, regulated decisions and business actions.
01
Employee productivity
Private assistants for policies, procedures, research and internal knowledge.
02
Customer and banking operations
Controlled AI for contact centres, document processing and operational workflows.
03
Risk and compliance
AI-assisted KYC, AML investigations, regulatory research and audit preparation.
Built to operate within your bank’s approved environment
- Deploy in the bank’s cloud, data centre or sovereign environment
- Keep private models inside the customer-controlled environment; connect to approved external endpoints only through policy controls
- Integrate with existing identity, security and monitoring systems
- Apply human approval to sensitive AI actions
Next step