You’ve built an AI solution that’s shown real promise. Maybe it’s helped streamline a critical process or provided key insights for your team. Now, your business is ready to scale it across the organization and fully launch it—but beyond the technical challenge of scaling, the biggest concern is security.
When it comes to deploying AI at an enterprise level, cloud platforms are the natural choice. They provide the scalability and power needed to handle larger workloads without requiring heavy investment in on-premise infrastructure. However, moving to the cloud can feel daunting, especially when dealing with sensitive data, intellectual property, or compliance requirements.
The good news? Scaling your AI solution to the cloud doesn’t have to mean sacrificing security. In fact, with the right approach and careful planning, the cloud can be a secure, efficient, and cost-effective way to bring your solution to the enterprise. In this blog, we’ll walk you through why cloud services are the best option for scaling AI and what key security considerations to keep in mind.
Why on-demand compute is the best option for scaling AI solutions
As AI solutions move from personal or team-level use to enterprise-wide deployment, they require significant computing power, storage, and flexibility. The cloud, specifically on-demand compute platforms, provides scalable infrastructure without the need for costly in-house hardware, making it the ideal solution for scaling AI.
- Instant scalability — On-demand compute platforms allow you to scale resources up or down as needed to handle increased workloads.
- Cost efficiency — You avoid major upfront investments in hardware by paying only for the resources you use.
- Ease of deployment — Pre-configured environments and tools in the cloud make it easier to set up and launch AI solutions quickly.
- Collaboration across teams — Centralized cloud access improves coordination and productivity among multiple teams.
- Access to enterprise-grade tools — Many on-demand compute providers offer specialized AI services and tools that enhance development and deployment.
Bringing your AI solution and business data into the cloud securely means minimizing risks without slowing down deployment. Specifically, on-demand compute platforms provide the flexibility and scalability needed for enterprise-wide AI deployments, but they require careful management to ensure data security.
Here are six critical considerations to keep your AI solution and business data secure when scaling on on-demand compute platforms:
1. Choose a trusted cloud provider
By choosing a trusted cloud service provider, the bulk of your security concerns will already addressed. Reliable providers implement critical security measures—like encryption and access controls—on your behalf. They also ensure your solution is hosted in highly secure, well-maintained data centers.
Providers using Tier III data centers, like Massed Compute, offer 99.982% uptime, N+1 redundancy, and continuous maintenance, which minimizes downtime and reduces the risk of physical threats.
2. Encrypt all data
Even with a trusted provider, encryption remains a critical layer of protection. Use encryption in transit (TLS/SSL) to secure data moving between systems and at rest (AES-256) to safeguard stored data. This ensures that even if data is intercepted, it cannot be accessed without the proper keys.
3. Access Control
Proper access control reduces the risk of unauthorized users gaining entry to sensitive systems. Implement role-based access control (RBAC) to limit user permissions based on their responsibilities and enforce multi-factor authentication (MFA) for all users to add an extra layer of defense.
4. Secure Configuration
Misconfigurations in cloud environments can expose sensitive data or systems to the internet. Follow best practices by disabling unused services, limiting public-facing resources, and setting up proper firewall rules. Automated tools can help monitor your setup and flag any potential vulnerabilities early.
5. Compliance with Industry Standards+
If your business operates in a regulated industry, it’s essential to ensure that your AI solution complies with any standards that are necessary or required, whether it’s SOC 2, ISO 27001, GDPR, or HIPAA. This involves implementing appropriate controls, such as encrypting sensitive data, managing access permissions, maintaining logs, and documenting your processes. Regular audits and reviews help ensure that your environment remains compliant and reduces the risk of legal or regulatory issues.
6. Regular Monitoring and Auditing
Continuous monitoring allows you to detect and respond to potential threats in real-time. Use monitoring tools to track system activity and set alerts for unusual behavior. Regularly audit access logs, security settings, and configurations to ensure your environment remains secure and up to date.
7. Patch Management
Keeping your cloud environment updated is critical for closing security gaps that attackers may exploit. You are responsible for patching custom environments, including virtual machines, AI frameworks, and third-party software. Regularly check for updates, test them, and apply patches promptly.
Many cloud providers offer automated patch management tools for managed services, reducing your workload by handling updates automatically. However, even with automation, you should monitor updates and ensure that your custom components remain secure and compatible. Understanding what’s automated versus what requires your action is key to effective patch management.
Secure Development is Smart Development
Scaling your AI solution is a big step, but a strong security foundation ensures you can grow with confidence. By following key best practices—like encryption, access controls, and regular patching—you can minimize risks and maintain trust. With on-demand GPU resources and enterprise-grade security, Massed Compute offers the flexibility and protection you need to scale securely. Ready to grow your AI solution? Sign up and explore our marketplace today!
Use the coupon code MassedComputeResearch for 15% off any GPU rental.
