Migrate Regulated Workloads to the Cloud with Confidence
Modernize with IBM Cloud for VMware Regulated Workloads
Cloud computing continues to transform industries by delivering unmatched agility, cost efficiency, scalability, and innovation. However, for organizations in regulated sectors such as financial services, healthcare, and retail, the stakes are higher—and so are the concerns.
Why Regulated Workloads Require a Special Approach
Regulated workloads typically handle the most sensitive business data. A misstep in security, compliance, or governance can lead to serious consequences. That’s why many organizations have been cautious about moving these workloads to the cloud.
Common Concerns Include:
- Loss of control over patching and updates
- Compliance gaps and audit complexities
- Risk of downtime and breaches
- Incompatibility with existing investments in on-premises infrastructure
But the cloud landscape is changing.
A Clearer, Safer Path Forward
Leading providers like IBM and VMware are redefining how regulated workloads move to the cloud. With IBM Cloud for VMware Regulated Workloads, your organization can achieve:
- Security and compliance built-in from the ground up
- Familiar VMware tools—no retraining or re-architecting required
- Dedicated, single-tenant infrastructure with full control
- Business continuity and resilience with backup and disaster recovery options
Key Features That Minimize Risk
The IBM Cloud for VMware Regulated Workloads solution offers:
✅ Role-based access and identity management
✅ Network isolation and SDN control plane separation
✅ Bring Your Own Key (BYOK) and Keep Your Own Key (KYOK) encryption
✅ Continuous compliance and unified policy management
✅ Options for customer-managed or IBM-managed environments
✅ Seamless hybrid cloud portability
Real-World Impact Across Industries
In Financial Services: Drive insights, reduce costs, and accelerate secure innovation.
In Healthcare: Enhance remote care, telemedicine, and data-driven outcomes.
In Retail: Optimize inventory, supply chains, and customer engagement with AI.
This article is posted at ibm.com
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