01
Protect sensitive data
Keep patient, member, clinical and research information within approved environments and workflows.
HEALTHCARE & LIFE SCIENCES
Put AI to work without losing control of sensitive health data
Deploy AI inside your approved environment and govern what models and agents can access, change and execute across healthcare and life sciences workflows.
- Private deployment
- Controlled data and actions
- Complete audit trail
Care and research teams
Iftah AI controls
Private deployment · Controlled data and actions · Complete audit trail
Health data and models
Advance AI without compromising privacy or oversight
Give teams access to useful AI while keeping sensitive patient, member, clinical and research data inside approved environments.
02
Control models and agents
Define which data, tools and systems each model or agent can access—and when human review is required.
03
Demonstrate responsible use
Maintain a traceable record of requests, policy decisions, model responses, approvals and agent actions.
A control layer between AI and sensitive healthcare systems
Every request is checked before a model or agent can reach protected data, clinical tools, research systems or business applications.
Operating model
How Iftah operates across healthcare and life sciences
People and applications
Care teams · Researchers · Applications and AI agents
Iftah AI Governance Platform
- Identity
- Policy
- Approval
- Audit
Organization-controlled environment
Private and customer-hosted AI models · Health and research data · Enterprise 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
Care teams, researchers and applications connect through one governed platform before reaching approved models, health and research data, or enterprise 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 healthcare and life sciences organizations can start
Begin with one focused workflow and apply stronger controls as AI moves closer to sensitive data, clinical decisions, patient communication or regulated research.
01
Workforce and knowledge
Private assistants for policies, procedures, clinical and scientific knowledge, documentation and internal research.
02
Care and administrative operations
Controlled AI assistance for patient and member support, care coordination, utilization management, claims, coding and document workflows.
03
Research and life sciences
Secure AI for scientific research, clinical-trial operations, pharmacovigilance, regulatory content and R&D workflows.
Built to operate within approved environments
- Deploy in your cloud, data centre or sovereign environment
- Keep private models inside the customer-controlled environment; connect to approved external endpoints only through policy controls
- Connect through existing identity, security, data and monitoring controls
- Apply human review to clinical, patient-facing and regulated actions
Next step