Best Confidential Computing Solutions

Anjuna® makes it simple for enterprises to implement Confidential Computing by allowing applications to operate in complete privacy and isolation, instantly and without modification. Anjuna Confidential Computing software supports custom and legacy applications—even packaged software such as databases and machine learning systems. Both on-site and in the cloud, Anjuna's broad support provides the strongest and most uniform data security across AWS Nitro, Azure, AMD SEV, Intel SGX, and other technologies.

Tamperproof, unstructured data store hosted in trusted execution environments (TEEs) and backed by cryptographically verifiable evidence. Azure confidential ledger provides a managed and decentralized ledger for data entries backed by blockchain. Protect your data at rest, in transit, and in use with hardware-backed secure enclaves used in Azure confidential computing. Ensure that your sensitive data records remain intact over time. The decentralized blockchain structure uses consensus-based replicas and cryptographically signed blocks to make information committed to Confidential Ledger tamperproof in perpetuity. You’ll soon have the option to add multiple parties to collaborate on decentralized ledger activities with the consortium concept, a key feature in blockchain solutions. Trust that your stored data is immutable by verifying it yourself. Tamper evidence can be demonstrated for server nodes, the blocks stored on the ledger, and all user transactions.

Privatemode is an AI service like ChatGPT—but with one critical difference: your data stays private. Using confidential computing, Privatemode encrypts your data before it leaves your device and keeps it protected even during AI processing. This ensures that your information remains secure at all times. Key features: End-to-end encryption: With confidential computing, your data remains encrypted at all times - during transfer, storage, and during processing in main memory. End-to-end attestation: The Privatemode app and proxy verify the integrity of the Privatemode service based on hardware-issued cryptographic certificates. Advanced zero-trust architecture: The Privatemode service is architected to prevent any external party from accessing your data, including even Edgeless Systems. Hosted in the EU: The Privatemode service is hosted in top-tier data centers in the European Union. More locations are coming soon.

Constellation is a CNCF-certified Kubernetes distribution that leverages confidential computing to encrypt and isolate entire clusters, protecting data at rest, in transit, and during processing, by running control and worker planes within hardware-enforced trusted execution environments. It ensures workload integrity through cryptographic certificates and supply-chain security mechanisms (SLSA Level 3, sigstore-based signing), passes Center for Internet Security Kubernetes benchmarks, and uses Cilium with WireGuard for granular eBPF traffic control and end-to-end encryption. Designed for high availability and autoscaling, Constellation delivers near-native performance on all major clouds and supports rapid setup via a simple CLI and kubeadm interface. It implements Kubernetes security updates within 24 hours, offers hardware-backed attestation and reproducible builds, and integrates seamlessly with existing DevOps tools through standard APIs.

Google Cloud’s Confidential Computing delivers hardware-based Trusted Execution Environments to encrypt data in use, completing the encryption lifecycle alongside data at rest and in transit. It includes Confidential VMs (using AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs), Confidential Space (enabling secure multi-party data sharing), Google Cloud Attestation, and split-trust encryption tooling. Confidential VMs support workloads in Compute Engine and are available across services such as Dataproc, Dataflow, GKE, and Vertex AI Workbench. It ensures runtime encryption of memory, isolation from host OS/hypervisor, and attestation features so customers gain proof that their workloads run in a secure enclave. Use cases range from confidential analytics and federated learning in healthcare and finance to generative-AI model hosting and collaborative supply-chain data sharing.

Accelerate the end-to-end machine learning lifecycle. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.

Azure high-performance computing (HPC). Power breakthrough innovations, solve complex problems, and optimize your compute-intensive workloads. Build and run your most demanding workloads in the cloud with a full stack solution purpose-built for HPC. Deliver supercomputing power, interoperability, and near-infinite scalability for compute-intensive workloads with Azure Virtual Machines. Empower decision-making and deliver next-generation AI with industry-leading Azure AI and analytics services. Help secure your data and applications and streamline compliance with multilayered, built-in security and confidential computing.

IBM Cloud Hyper Protect Crypto Services is an as-a-service key management and encryption solution, which gives you full control over your encryption keys for data protection. Experience a worry-free approach to multi-cloud key management through the all-in-one as-a-service solution and benefit from automatic key backups and built-in high availability to secure business continuity and disaster recovery. Manage your keys seamlessly across multiple cloud environments create keys securely and bring your own key seamlessly to hyperscalers such as Microsoft Azure AWS and Google Cloud Platform to enhance the data security posture and gain key control. Encrypt integrated IBM Cloud Services and applications with KYOK. Retain complete control of your data encryption keys with technical assurance and provide runtime isolation with confidential computing. Protect your sensitive data with quantum-safe measures by using Hyper Protect Crypto Services' Dillithium.

​Intel Tiber Trust Authority is a zero-trust attestation service that ensures the integrity and security of applications and data across various environments, including multiple clouds, sovereign clouds, edge, and on-premises infrastructures. It independently verifies the trustworthiness of compute assets such as infrastructure, data, applications, endpoints, AI/ML workloads, and identities, attesting to the validity of Intel Confidential Computing environments, including Trusted Execution Environments (TEEs), Graphical Processing Units (GPUs), and Trusted Platform Modules (TPMs). ​ Provides assurance of the environment's authenticity, irrespective of data center management, addressing the need for separation between cloud infrastructure providers and verifiers. Enables workload expansion across on-premises, edge, multiple cloud, or hybrid deployments with a consistent attestation service rooted in silicon.

Armet AI is a secure, turnkey GenAI platform built on Confidential Computing that encloses every stage, from data ingestion and vectorization to LLM inference and response handling, within hardware-enforced secure enclaves. It delivers Confidential AI with Intel SGX, TDX, TiberTrust Services and NVIDIA GPUs to keep data encrypted at rest, in motion and in use; AI Guardrails that automatically sanitize sensitive inputs, enforce prompt security, detect hallucinations and uphold organizational policies; and Data & AI Governance with consistent RBAC, project-based collaboration frameworks, custom roles and centrally managed access controls. Its End-to-End Data Security ensures zero-trust encryption across storage, transit, and processing layers, while Holistic Compliance aligns with GDPR, the EU AI Act, SOC 2, and other industry standards to protect PII, PCI, and PHI.

Fortanix Confidential AI is a unified platform that enables data teams to process sensitive datasets and run AI/ML models entirely within confidential computing environments, combining managed infrastructure, software, and workflow orchestration to maintain organizational privacy compliance. The service offers readily available, on-demand infrastructure powered by Intel Ice Lake third-generation scalable Xeon processors and supports execution of AI frameworks inside Intel SGX and other enclave technologies with zero external visibility. It delivers hardware-backed proofs of execution and detailed audit logs for stringent regulatory requirements, secures every stage of the MLOps pipeline, from data ingestion via Amazon S3 connectors or local uploads through model training, inference, and fine-tuning, and provides broad model compatibility.

Tinfoil is a verifiably private AI platform built to deliver zero-trust, zero-data-retention inference by running open-source or custom models inside secure hardware enclaves in the cloud, giving you the data-privacy assurances of on-premises systems with the scalability and convenience of the cloud. All user inputs and inference operations are processed in confidential-computing environments so that no one, not even Tinfoil or the cloud provider, can access or retain your data. It supports private chat, private data analysis, user-trained fine-tuning, and an OpenAI-compatible inference API, covers workloads such as AI agents, private content moderation, and proprietary code models, and provides features like public verification of enclave attestation, “provable zero data access,” and full compatibility with major open source models.

OPAQUE Systems offers a leading confidential AI platform that enables organizations to securely run AI, machine learning, and analytics workflows on sensitive data without compromising privacy or compliance. Their technology allows enterprises to unleash AI innovation risk-free by leveraging confidential computing and cryptographic verification, ensuring data sovereignty and regulatory adherence. OPAQUE integrates seamlessly into existing AI stacks via APIs, notebooks, and no-code solutions, eliminating the need for costly infrastructure changes. The platform provides verifiable audit trails and attestation for complete transparency and governance. Customers like Ant Financial have benefited by using previously inaccessible data to improve credit risk models. With OPAQUE, companies accelerate AI adoption while maintaining uncompromising security and control.

BeeKeeperAI™ uses privacy-preserving analytics on multi-institutional sources of protected data in a confidential computing environment including end-to-end encryption, secure computing enclaves, and Intel’s latest SGX enabled processors to comprehensively protect the data and the algorithm IP. The data never leaves the organization’s protected cloud storage, eliminating the loss of control and “resharing” risk. Uses primary data - from the original source - rather than synthetic or de-identified data. The data is always encrypted. Healthcare-specific powerful BeeKeeperAI™ tools and workflows support data set creation, labeling, segmentation, and annotation activities. The BeeKeeperAI™ secure enclaves eliminate the risk of data exfiltration and interrogation of the algorithm IP from insiders and third parties. BeeKeeperAI™ acts as the middleman & matchmaker between data stewards and algorithm developers, reducing time, effort, and costs of data projects by over 50%.

IBM Hyper Protect Virtual Servers take advantage of IBM Secure Execution for Linux. It provides a confidential computing environment to protect sensitive data running in virtual servers and container runtimes by performing computation in a hardware-based, trusted execution environment (TEE). It is available on-premise as well as a managed offering in IBM Cloud. Securely build, deploy, and manage mission-critical applications for the hybrid multi-cloud with confidential computing on IBM Z and LinuxONE. Equip your developers with the capability to securely build their applications in a trusted environment with integrity. Enable admins to validate that applications originate from a trusted source via their own auditing processes. Give operations the ability to manage without accessing applications or their sensitive data. Protect your digital assets on a security-rich, tamper-proof Linux-based platform.

Azure Confidential Computing increases data privacy and security by protecting data while it’s being processed, rather than only when stored or in transit. It encrypts data in memory within hardware-based trusted execution environments, only allowing computation to proceed after the cloud platform verifies the environment. This approach helps prevent access by cloud providers, administrators, or other privileged users. It supports scenarios such as multi-party analytics, allowing different organisations to contribute encrypted datasets and perform joint machine learning without revealing underlying data to each other. Users retain full control of their data and code, specifying which hardware and software can access it, and can migrate existing workloads with familiar tools, SDKs, and cloud infrastructure.

NVIDIA Confidential Computing secures data in use, protecting AI models and workloads as they execute, by leveraging hardware-based trusted execution environments built into NVIDIA Hopper and Blackwell architectures and supported platforms. It enables enterprises to deploy AI training and inference, whether on-premises, in the cloud, or at the edge, with no changes to model code, while ensuring the confidentiality and integrity of both data and models. Key features include zero-trust isolation of workloads from the host OS or hypervisor, device attestation to verify that only legitimate NVIDIA hardware is running the code, and full compatibility with shared or remote infrastructure for ISVs, enterprises, and multi-tenant environments. By safeguarding proprietary AI models, inputs, weights, and inference activities, NVIDIA Confidential Computing enables high-performance AI without compromising security or performance.

Hub Security’s Vault HSM goes well beyond the average run-of-the-mill key management solution. HUB as a platform not only protects, isolates and insures your company’s data, but also provides the infrastructure you need to access and use it securely. With the ability to set custom internal policies and permissions, organisations big or small can now use the HUB platform to defend against ongoing threats to their security’s IT infrastructure. The HUB Vault HSM is an ultra-secure hardware and software confidential computing platform, made to protect your most valuable applications, data and sensitive organizational processes. The programmable and customizable MultiCore HSM platform enables companies a simple, flexible and scalable digital transformation to the cloud. The HUB Security Mini HSM device is compliant to FIPS level 3, enabling an ultra secure remote access to the HUB Vault HSM.