The cloud just got a whole lot more private. These five platforms are leading the charge in encrypted computing, so you can keep your data under lock and key—even while it's being processed.
The Encrypted Cloud Landscape
For years, the cloud has been a trade-off: you get convenience and scale, but you have to trust the provider with your data. That's changing. Fully homomorphic encryption (FHE) is the breakthrough that lets you compute on encrypted data without ever decrypting it. This means you can run analytics, AI, and even collaborate with partners without exposing sensitive information. The industry is moving from theoretical research to practical, deployable solutions, with hardware acceleration and developer tools making FHE fast enough for real-world use. As data privacy regulations tighten and cyber threats grow, encrypted cloud platforms are becoming a must-have for any serious business.
How We Evaluated These Platforms
We looked at each platform's approach to making encrypted compute accessible and practical. Key factors included the maturity of the technology, the ease of integration for developers, the availability of hardware acceleration, and the clarity of the value proposition for businesses. We also considered how each platform positions itself in the market—whether as a full-service cloud, a research initiative, or a specialized tool—and how that affects its usability for you.
Here's a quick snapshot of the five platforms we're highlighting, so you can see at a glance what each one brings to the table.
| Provider | Best For |
|---|---|
| Duality Technologies | Enterprise data collaboration |
| Home • Niobium | Developers seeking practical FHE deployment |
| IBM Research | Understanding FHE technology and research |
| Red Hat Research | Hardware acceleration for FHE |
| AWS | Integrating FHE with existing AWS services |
The Deep Dive: Your Encrypted Cloud Options
#1 Duality Technologies
A screenshot of the Duality Technologies website.
Duality Technologies is a commercial leader in secure data collaboration, offering a platform that leverages FHE, federated learning, and confidential computing. Their solutions are tailored for industries like healthcare, finance, and government, where data privacy is non-negotiable. You can use their tools for secure query, collaborative AI, and federated analytics without exposing raw data. They've also partnered with Oracle to deliver privacy-first AI to government and defense customers, showing real-world traction. If you need to collaborate across sensitive datasets, Duality provides a robust, enterprise-ready platform. Check out their glossary for a clear explanation of FHE if you're new to the concept.
#2 Home • Niobium
A screenshot of the Home • Niobium website.
Niobium is making encrypted compute practical for real-world applications with its Niobium Fog™ platform. They promise that your data arrives encrypted, stays encrypted, and leaves encrypted, even during processing. Powered by their mistic™ hardware acceleration, Niobium claims to run FHE fast enough for business, which is a game-changer. They offer SDKs, templates, and pre-built applications, so you can deploy your first encrypted app in minutes. Their developer partner program is open, inviting you to build on their infrastructure. If you're looking for a developer-friendly entry point into FHE, Niobium is worth a serious look.
#3 IBM Research
A screenshot of the IBM Research website.
IBM Research is a pioneer in FHE, with a deep focus on protecting user data in hybrid cloud environments. They've been exploring how to combine FHE with confidential computing to create a trustworthy, end-to-end pipeline. Their work addresses the key challenge of making FHE accessible to a wide audience, so developers don't need to be cryptography experts. IBM's research is foundational, and they're actively working on solutions that could shape the future of encrypted cloud. If you're interested in the underlying technology and its potential, IBM Research is a great resource. Their blog post on FHE and confidential computing is a must-read for understanding the technical landscape.
#4 Red Hat Research
A screenshot of the Red Hat Research website.
Red Hat Research is tackling the performance bottleneck of homomorphic encryption with custom hardware, specifically FPGAs. Their work focuses on speeding up FHE to make it viable for real-world cloud applications. They're also developing a compiler for FHE, which is crucial for making the technology easier to use. Red Hat's open-source approach means their research could benefit the entire ecosystem. If you're interested in the hardware side of encrypted computing, Red Hat is leading the charge. Their article on FPGA acceleration is a great deep dive into the technical challenges and solutions.
#5 AWS
A screenshot of the AWS website.
AWS is integrating FHE into its cloud services, making it accessible to a massive user base. They've demonstrated how to enable FHE with Amazon SageMaker endpoints for secure, real-time inferencing. This means you can run machine learning models on encrypted data without ever decrypting it, which is a huge step for privacy. AWS's scale and existing infrastructure make it a practical choice for businesses already on their platform. While their FHE offerings are still evolving, they're clearly committed to making encrypted compute mainstream. If you're already using AWS, this is a natural way to start experimenting with FHE.
How to Choose Your Encrypted Cloud Platform
Start by asking yourself: what's your primary use case? If you need to collaborate on sensitive data across organizations, Duality Technologies offers a full suite of tools. If you're a developer who wants to build encrypted apps quickly, Niobium's SDKs and templates are your best bet. For those who want to understand the technology deeply, IBM Research and Red Hat Research provide invaluable insights and open-source contributions. And if you're already invested in AWS, their FHE integration is a low-friction way to get started. Consider your team's technical expertise, your data sensitivity, and your existing cloud infrastructure. The right choice is the one that fits your workflow and security requirements.
Automating Encrypted Workflows
Once you've chosen a platform, you can automate your encrypted data workflows. For example, with Niobium, you can use their pre-built FHE applications and hardware acceleration to automatically process encrypted data streams. With AWS, you can set up SageMaker endpoints to run real-time inferencing on encrypted data, triggering automated actions based on the results. Duality's platform allows you to automate secure data collaboration, so you can share insights without manual intervention. The key is to leverage the APIs and SDKs provided by these platforms to build automated pipelines that keep your data encrypted at every step.
The Future of Encrypted Cloud
The encrypted cloud is no longer a distant dream—it's here, and these five platforms are proving it. Whether you're a developer, a data scientist, or a business leader, there's a solution that fits your needs. The trend is clear: data privacy is becoming a competitive advantage, and FHE is the key to unlocking it. As hardware acceleration improves and developer tools mature, we'll see even wider adoption. Don't wait for the future; start exploring these platforms today and see how you can keep your data encrypted, even in the cloud.