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Cybersecurity Information SecurityTop 10 Best Confidential Software of 2026
Ranking roundup of confidential software with criteria and tradeoffs for teams evaluating Evervault, Enclaive, and Apache Teaclave.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
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Framework: Features 40% · Ease 30% · Value 30%
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Evervault is the best fit when you need enforceable, field-level confidentiality across apps and databases, whereas Enclaive is the stronger choice for microservices that must unlock data in use only after attestation-gated access and automated rollout.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Evervault
Client-side field encryption that keeps plaintext out of storage and most middleware by default.
Best for: Fits when teams need enforceable confidentiality for specific data fields across apps and databases.
Enclaive
Editor pickSealed secrets bound to enclave identity, enabling restart-safe secret use without external plaintext exposure.
Best for: Fits when microservices must protect data-in-use with attestation-gated access and automated rollout.
Apache Teaclave
Editor pickRemote-attestation flow is embedded into the enclave lifecycle, gating enclave readiness before confidential data enters enclave execution.
Best for: Fits when teams need attested enclave execution and enclave-side runtime integration for confidential workloads.
Comparison Table
Evervault
API-firstCloud platform for encrypting, processing, and sharing sensitive data with confidential computing controls.
Client-side field encryption that keeps plaintext out of storage and most middleware by default.
Evervault is built around field-level protection for common application data flows like payments metadata, user profile attributes, and internal records that must remain confidential at rest. Configuration centers on protecting specific inputs, generating encrypted payloads for storage, and restricting which services can unwrap those payloads. Governance includes access control aligned to service identities and audit-oriented visibility into protected data usage.
A practical tradeoff is that encrypted data remains opaque to parts of the system that do not have explicit decryption permissions, which can increase application and query design work. Evervault fits teams that need to adopt encryption for existing databases and APIs while keeping developers focused on normal application interfaces and minimizing changes to infrastructure.
- +Field-level encryption at the application boundary for specific sensitive inputs
- +Managed key handling with permissioning controls tied to service use
- +Integration patterns that reduce database exposure during normal application operations
- +Clear separation between protected payloads and permitted decryption flows
- –Encrypted fields can limit querying and reporting without planned decryption paths
- –Requires engineering effort to redesign workflows around encryption boundaries
- –Decryption permissions must be carefully scoped to avoid broad data unwrapping
Fintech engineering teams
Protect customer payment metadata
Reduces breach blast radius
SaaS platform teams
Protect user profile attributes
Tightens internal access control
Show 1 more scenario
Security engineering teams
Enforce encryption in workflows
Standardizes confidential handling
Centralizes protection rules so teams apply consistent handling to regulated data flows.
Best for: Fits when teams need enforceable confidentiality for specific data fields across apps and databases.
Enclaive
enterpriseConfidential computing platform for protecting cloud-native applications across multiple enclave technologies.
Sealed secrets bound to enclave identity, enabling restart-safe secret use without external plaintext exposure.
Enclaive fits teams that already run workloads across confidential compute-capable infrastructure and need a repeatable way to provision enclave-bound services. The solution centers on enclave lifecycle operations, remote attestation verification paths, and secret persistence that is bound to the enclave identity. Integration depth shows up in how Enclaive exposes an API and configuration surface for wiring application components to enclave execution.
A key tradeoff is that strong governance depends on how policies are authored and how attestation results are enforced in the calling services. Enclaive works well when confidential services must be integrated with existing microservices that already support mTLS and require automated rollout and rotation workflows.
- +Remote attestation flow designed for programmatic verification
- +Sealed secret persistence tied to enclave identity
- +API-driven configuration suitable for pipeline automation
- +Enclave execution lifecycle operations support repeatable deployments
- –Policy enforcement requires careful attestation validation integration
- –Enclave-centric application design adds integration overhead
Platform security teams
Attestation-gated confidential service provisioning
Lower risk from impersonation
Backend engineers
Confidential processing of user data
Data-in-use protection enforced
Show 2 more scenarios
DevOps teams
Automated rollout with secret rotation
Repeatable deployments at scale
API-driven configuration supports pipeline integration for consistent deployments across environments and releases.
Enterprise architects
Zero-trust integration with mTLS
Tighter end-to-end access control
Integration patterns combine encrypted transport with enclave-bound authorization decisions in the calling tier.
Best for: Fits when microservices must protect data-in-use with attestation-gated access and automated rollout.
Apache Teaclave
open-sourceOpen-source secure computing platform for federated analytics and machine learning.
Remote-attestation flow is embedded into the enclave lifecycle, gating enclave readiness before confidential data enters enclave execution.
Apache Teaclave provides an enclave-side application runtime that performs remote attestation and exposes a handshake point for a host to validate the enclave before sending sensitive data. It is built to support confidential workloads that need code and data isolation from the operating system and hypervisor layer. The framework expects developers to adapt applications to its enclave execution model and communicate through its enclave-host boundaries.
A tradeoff is that operational flexibility depends on how workloads are packaged for enclave execution and how attestation results are wired into the host workflow. It fits teams that already have enclave-ready application components and need a repeatable path for attested startup and confidential input handling.
- +Attestation-driven enclave startup with host verification before sensitive inputs
- +Enclave runtime supports confidential execution flow from initialization to request handling
- +Developer-oriented SDK approach for enclave integration and enclave-host communication
- +Sealed runtime handling reduces exposure of secrets outside enclave scope
- –Enclave packaging and workflow integration require engineering beyond typical containers
- –Operational governance relies on deployment configuration and external host logic
Security architects
Attested startup for confidential services
Reduced risk from untrusted hosts
Backend teams
Confidential data processing in enclaves
Data-in-use protection at runtime
Show 1 more scenario
Platform engineers
Enclave integration for existing C/C++ logic
Reuse of performance-critical code
Enclave SDK workflow adapts business logic to the enclave-host boundary for confidential execution.
Best for: Fits when teams need attested enclave execution and enclave-side runtime integration for confidential workloads.
Anjuna Confidential Computing Software
enterpriseSoftware platform that runs existing applications inside hardware secure enclaves without code changes.
Attestation-aware orchestration gates job start on verifiable enclave trust signals before workload execution begins.
Anjuna Confidential Computing Software coordinates confidential computing jobs with an orchestration layer that focuses on attestation-driven trust and policy-bound execution. It centers on enclave-based workloads with workload manifests, runtime configuration, and secrets handling patterns designed for data-in-use protection.
- +Attestation-aware job gating ties execution readiness to trust signals
- +Policy-driven configuration reduces drift across environments
- +Automation oriented job lifecycle supports repeatable confidential runs
- +Centralized secret handling patterns reduce ad hoc key distribution
- –Enclave workflow integration requires more platform-specific setup
- –Configuration depth can be time-consuming for teams without prior confidential computing experience
Best for: Fits when platform teams need attestation-bound, policy-controlled confidential execution across multiple workloads.
Edgeless Systems Constellation
API-firstConfidential Kubernetes platform that keeps workloads encrypted in use.
Attestation-gated orchestration that stages secrets only after runtime verification passes, before confidential steps start.
Edgeless Systems Constellation coordinates confidential-computing workflows across secure enclaves and isolates sensitive steps from the host environment. It focuses on policy-driven execution, identity and provisioning hooks, and runtime attestation checks before releasing secrets to workloads.
- +Attestation-gated secret release reduces risk of unverified runtime access
- +Policy-based workflow wiring supports consistent confidential execution patterns
- +Clear separation between enclave execution configuration and external service dependencies
- +Extensibility hooks for integrating enclave jobs with surrounding systems
- –Requires careful setup of enclave runtime expectations and trust anchors
- –Debugging failures can be slower when attestation or secret staging blocks execution
- –Operational overhead rises for multi-enclave or multi-environment deployments
- –Automation depth depends on correct integration of external identity and secret systems
Best for: Fits when teams need attestation-gated workflows that release secrets only after runtime verification.
Scontain SCONE
enterpriseConfidential computing platform that protects containerized applications using Intel SGX enclaves.
SCONE policy engine performs attestation-gated secret provisioning into protected application processes.
Scontain SCONE targets confidential computing deployments by combining runtime protection for application processes with policy-driven secret handling for workloads running on secure enclaves. It supports protected process configuration through declarative security policies that define how secrets enter the application and how protected execution is enforced.
- +Policy-driven secret injection tied to protected execution
- +Attestation integration supports runtime identity checks
- +Extensible configuration approach for enclave workloads
- +Clear operational separation between secure runtime and app config
- –Enclave deployment workflow requires setup discipline across environments
- –Integration surface depends on compatible protected runtime tooling
- –Policy complexity increases with multi-service secret needs
- –Limited fit for non-enclave architectures without rework
Best for: Fits when teams run confidential enclave workloads and need attestation-gated secret injection with controlled deployment configuration.
Occlum
open-sourceMemory-safe library operating system for Intel SGX developed by Ant Group.
Occlum instance build and runtime model that packages a Linux application to run inside a confined enclave filesystem.
Occlum focuses on confidential execution by turning a Linux application into an enclave-friendly binary using its Occlum instance and build workflow. It provides an enclave SDK plus runtime components for managing memory, syscalls, and storage access in a way that supports data-in-use isolation. The primary integration surface is a process-level deployment model where applications run inside an enclave with attestation-oriented workflows for verification.
- +Process-level enclave deployment model that maps to existing application packaging
- +Enclave SDK and build workflow for compiling applications into enclave-compatible artifacts
- +Storage and filesystem access paths designed around enclave constraints
- +Attestation-oriented workflows to support verification steps around enclave execution
- –Integration work is concentrated in an application rebuild and runtime porting effort
- –Operational workflows depend on enclave-specific configuration and enclave filesystem layout
Best for: Fits when teams need confidential computing for a specific application workload and can invest in enclave build integration.
Decentriq
vertical specialistData clean room software built on confidential computing for secure collaboration.
Policy enforcement that binds secret release to attestation-validated workload identity during runtime requests.
Decentriq packages confidential computing and key custody workflows into a single operator-like service that teams can integrate into existing CI and runtime pipelines. Core capabilities include secret handling for confidential workloads, policy-driven access control, and attestation-linked trust decisions that gate release of sensitive data.
- +API-driven provisioning ties secret release to workload provenance checks
- +Audit logs record both admin actions and runtime access attempts
- +Policy-based configuration supports repeatable deployment across environments
- +Extensibility hooks fit into existing automation pipelines
- –Strong governance expectations require disciplined identity and policy management
- –Attestation gating coverage depends on workload integration quality
- –Operational overhead rises when managing multiple environments and policies
- –Limited visibility into enclave internals compared with workload-native tooling
Best for: Fits when teams need confidential-workload secret release with policy control and auditable access tracing across environments.
Microsoft Azure Confidential Computing
enterpriseAzure services for protecting data in use with confidential virtual machines, containers, and attestation services.
Enclave Attestation with policy-driven trust decisions that connect workload identity checks to Azure-managed key access.
Microsoft Azure Confidential Computing runs workloads in confidential VMs and confidential containers backed by hardware-based memory encryption and remote attestation. It integrates with Azure Key Vault for key management workflows and supports enclave attestation flows that gate trust decisions.
- +Confidential VM and container deployment paths integrate with Azure identity and networking
- +Remote attestation support enables workload identity checks during startup
- +Azure Key Vault integration fits standard key lifecycle patterns for confidential workloads
- +Enclave-aware deployment tooling reduces custom bootstrap code for common setups
- –Enclave-aware application requirements add build and test complexity versus plain containers
- –Hardware and region availability constraints can limit rollout plans across environments
- –Attestation and trust gating logic needs careful integration into the application lifecycle
- –Debugging performance and failure modes inside encrypted execution often takes extra effort
Best for: Fits when Azure-based teams need data-in-use protection with attestation-gated trust and managed key workflows.
IBM Cloud Data Shield
enterpriseConfidential computing service that keeps containerized workloads and data protected in use on IBM Cloud.
Policy and key controls are integrated into IBM Cloud administrative workflows around data-in-use protected execution.
IBM Cloud Data Shield provides confidential computing controls for data-in-use protection by keeping sensitive workloads inside IBM-managed isolation environments. It couples enclave-style execution with policy and key controls so data access is constrained to authorized runtime conditions.
- +Ties runtime protection controls to IBM Cloud operational administration
- +API surface supports automation for provisioning and policy-driven access
- +Governance controls include audit-oriented operational logging patterns
- +Works well for teams standardizing on IBM Cloud security primitives
- –Higher integration effort when data and workloads are outside IBM Cloud
- –Policy workflows depend on IBM-specific service configuration
- –Limited flexibility for non-IBM confidential workload architectures
- –Enclave attestation and lifecycle tuning require security governance discipline
Best for: Fits when teams run confidential workloads on IBM Cloud and need policy-driven governance plus API automation.
Conclusion
After evaluating 10 confidential software, Evervault stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Confidential Software
Confidential software is built to prevent plaintext exposure during processing and delivery paths, not only during storage, and the scope here compares Evervault, Apache Teaclave, Occlum, and the other included tools. The guide frames differences around how each product gates secret release or data-in-use execution using attestation workflows, plus how its automation and integration surface fit into real deployment pipelines.
The coverage includes Evervault field encryption controls, Enclaive sealed secrets bound to enclave identity, and Apache Teaclave remote attestation embedded into the enclave lifecycle. Occlum is included to represent an application packaging model, while Scontain SCONE and Edgeless Systems Constellation represent policy-driven orchestration and attestation-gated secret provisioning patterns.
Confidential Software that enforces protection during execution using attestation-gated trust, plus field-level or sealed-secret controls
Confidential software protects sensitive data while applications process it inside protected execution environments, typically by combining encrypted handling with runtime trust decisions derived from enclave identity signals. Tools such as Evervault enforce confidentiality at the application boundary through client-side field encryption so plaintext stays out of storage and most middleware by default. Tools such as Apache Teaclave embed a remote attestation flow into enclave startup so execution is gated before confidential data enters enclave handling.
Across the set, the key differentiators are where protection is enforced, how trust signals control secret release or workload readiness, and how the integration surface supports automation and governance actions in deployment workflows. Occlum represents a packaging-focused approach that puts the workload inside a confined enclave filesystem, which shifts integration effort into enclave-compatible build and runtime configuration rather than runtime policy orchestration alone.
Confidential Software evaluation criteria: where protection is enforced and how operations stay controllable
Confidential software choices hinge on enforcement points. Evervault encrypts sensitive fields at the application boundary, while Apache Teaclave and Occlum gate execution by embedding attestation or confining runtime into enclave-compatible artifacts.
Operations depend on how each product ties trust signals to secret release. Enclaive, Decentriq, and Edgeless Systems Constellation bind sealed secret use or secret staging to enclave identity and attestation checks, which changes rollout behavior, failure modes, and automation needs.
Execution gating and trust validation timing
Apache Teaclave embeds remote attestation into the enclave lifecycle so enclave readiness is verified before confidential inputs enter execution, while Edgeless Systems Constellation stages secrets only after runtime verification passes before confidential steps start.
Secret binding model and restart safety
Enclaive creates sealed secrets bound to enclave identity so secret use survives restarts without plaintext exposure, while Scontain SCONE provisions secrets into protected processes through its SCONE policy engine with attestation-gated injection.
Application packaging versus orchestration integration
Occlum uses an instance build and runtime filesystem model that packages a Linux application to run in a confined enclave, while Anjuna Confidential Computing focuses on orchestration that gates job start using verifiable enclave trust signals across workloads.
Policy enforcement scope and auditability hooks
Decentriq ties secret release to attestation-validated workload identity and records audit logs for admin actions and runtime access attempts, while IBM Cloud Data Shield integrates policy and key controls into IBM Cloud administrative workflows with an API surface for automation.
Integration depth with external host and deployment workflows
Evervault shifts integration effort toward encryption boundary-aware application and reporting workflows, while Apache Teaclave and Scontain SCONE require enclave packaging and configuration discipline for enclave-side runtime integration.
Choose based on enforcement point, secret lifecycle binding, and integration workload profile
Step one is choosing where plaintext must be blocked. Evervault targets client-side field encryption so plaintext avoids storage and most middleware by default, while Apache Teaclave and Occlum concentrate on keeping execution inside a trusted enclave flow before confidential handling begins.
Step two is choosing how secret lifecycle is bound to identity. Some tools focus on sealed secrets that persist against enclave identity and restart behavior, while others focus on attestation-gated orchestration or policy-driven secret injection into protected processes.
Pick the enforcement boundary that matches where plaintext risk occurs
If sensitive values must be protected before they touch storage and typical application middleware, Evervault’s client-side field encryption keeps plaintext out of storage and most middleware by default. If confidential handling must not start until enclave readiness is verified, Apache Teaclave’s attestation-driven enclave startup gates execution before sensitive inputs enter enclave runtime.
Match secret lifecycle needs to sealed versus staged versus injected patterns
If secrets must be restart-safe and tied to enclave identity, Enclaive’s sealed secrets persist with identity binding so secret use does not rely on external plaintext exposure. If the requirement is policy-driven provisioning into running protected processes, Scontain SCONE’s SCONE policy engine performs attestation-gated secret injection into those processes.
Decide between orchestration gating and application packaging integration
If platform teams need attestation-bound control across many workloads without rebuilding applications, Anjuna’s attestation-aware orchestration gates job start on verifiable enclave trust signals. If a workload must be packaged as enclave-compatible artifacts with an enclave filesystem model, Occlum concentrates the integration effort in an application rebuild and runtime porting workflow.
Require auditable runtime access and choose the product that exposes those logs
If audit logs must cover both admin actions and runtime access attempts, Decentriq records audit logs tied to secret release decisions and runtime requests. If the control plane must live inside a specific cloud administration workflow with automation, IBM Cloud Data Shield integrates policy and key controls into IBM Cloud operational workflows and exposes an API for provisioning and policy-driven access.
Validate how trust checks interact with your host and deployment configuration
If secret release must wait on staged trust signals, Edgeless Systems Constellation uses attestation-gated orchestration that releases secrets only after runtime verification passes, which can slow failure diagnosis when attestation or secret staging blocks execution. If the workload must connect attestation decisions to the application lifecycle inside an enclave runtime, Apache Teaclave and Scontain SCONE rely on enclave packaging and workflow integration that can require enclave-specific setup.
Teams that align with specific Confidential Software enforcement and integration profiles
Some teams need field-level confidentiality at the application boundary, while others need execution to be blocked until enclave identity and readiness checks pass. The strongest fit depends on whether plaintext exposure must be prevented before it leaves the application, or whether execution must be gated before sensitive handling begins.
Integration burden also differs across tools. Occlum and enclave-lifecycle approaches shift work into application rebuild and enclave workflow wiring, while orchestration and policy engine approaches centralize control but require platform integration discipline.
Application teams protecting specific sensitive fields across apps and databases
Evervault is designed for enforcing confidentiality for specific data fields by encrypting at the client boundary, which reduces plaintext exposure in storage and most middleware without requiring enclave packaging changes.
Platform teams standardizing attestation-gated rollout for microservices
Enclaive uses sealed secrets bound to enclave identity with remote attestation flows designed for programmatic verification, which supports restart-safe secret use in attestation-gated microservice deployments.
Infrastructure teams embedding enclave readiness checks into runtime startup
Apache Teaclave embeds remote attestation into the enclave lifecycle so enclave startup is gated before confidential data enters execution, which supports confidential workloads that must validate host verification before sensitive inputs.
Workload teams that can invest in enclave build and runtime porting for a single application
Occlum provides a confined enclave filesystem model by packaging a Linux application into an enclave-compatible build, which concentrates integration work in enclave build integration rather than runtime orchestration.
Governance-focused teams that need attestation-linked policy control and audit trails
Decentriq binds secret release to attestation-validated workload identity and records audit logs for both admin actions and runtime access attempts, which supports traceability across environments.
Common buying pitfalls that cause confidential workflows to fail in production
Confidential computing products succeed when enforcement and operations are aligned with workload behavior. Most failures come from choosing an enforcement point that does not match where sensitive data actually enters the pipeline or from underestimating integration and governance discipline requirements.
Another repeated failure pattern is selecting an attestation-based tool without validating how trust checks plug into host logic and deployment tooling, which delays rollout and complicates debugging when gated execution blocks secrets or requests.
Selecting a field encryption tool without planning for reporting and query constraints
Evervault’s encrypted fields can limit querying and reporting unless planned decryption paths exist, so workflows that need plaintext aggregation must be redesigned around encryption boundaries.
Assuming attestation-gated tooling will work with existing enclave integration without configuration work
Apache Teaclave and Scontain SCONE depend on enclave packaging and workflow integration that goes beyond typical containers, so enclave startup gating and secret injection require enclave-specific setup.
Ignoring how trust validation and secret release affect failure diagnosis
Edgeless Systems Constellation can slow debugging because attestation or secret staging blocks execution during verification failures, so teams should validate operational runbooks for gated startup and staged secret release.
Underestimating governance discipline required for policy enforcement tied to workload identity
Decentriq’s policy control depends on disciplined identity and policy management, so teams must validate workload provenance checks and policy mappings before relying on runtime secret release.
Choosing cloud-managed governance controls while running workloads outside that cloud environment
IBM Cloud Data Shield ties policy and key controls into IBM Cloud administrative workflows, so teams running workloads outside IBM Cloud face higher integration effort because policy workflows depend on IBM-specific service configuration.
How We Selected and Ranked These Tools
We evaluated each tool’s confidential enforcement scope by comparing how it gates execution or protects data, with Evervault standing out for client-side field encryption that keeps plaintext out of storage and most middleware by default. Features accounted for 40% of the score, ease for 30%, and value for 30%.
We treated integration depth as part of ease and feature fit by weighing each tool’s need for enclave lifecycle wiring, secret binding model, and orchestration integration. Evervault earned the top position based on the combination of enforceable field-level confidentiality and managed key handling tied to service use, which reduced the operational rewrite burden versus enclave-focused packaging approaches.
Frequently Asked Questions About Confidential Software
How do Edgeless Systems Constellation and Scontain SCONE handle attestation-gated secret release during workload startup?
Which tool provides a developer workflow for turning a Linux application into an enclave-friendly binary?
What breaks if secret handling is treated as plain runtime configuration rather than bound to enclave identity?
How does Evervault integrate with existing apps without requiring a custom confidential-computing runtime?
When teams need an API surface for provisioning and lifecycle hooks, how do Decentriq and Anjuna differ?
How do Azure Confidential Computing and IBM Cloud Data Shield connect compute trust decisions to key management workflows?
What role does remote attestation play in Apache Teaclave compared with Edgeless Systems Constellation?
How do workload portability and platform coupling differ between Occlum and Azure Confidential Computing?
Where does admin control focus in Scontain SCONE versus Decentriq for multi-environment governance?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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