Fortanix vs Ubiq

Executive Summary

Fortanix provides a broad data security and cryptographic infrastructure platform. Its capabilities include Data Security Manager, key management, HSM-backed cryptographic operations, secrets management, encryption, tokenization, confidential computing, and centralized policy across cloud, hybrid, and on-premises environments.

These capabilities are valuable, especially for organizations that need centralized cryptographic services, HSM modernization, secrets management, tokenization, key lifecycle management, confidential computing, or secure enclave-based application protection.

Ubiq addresses the same overall sensitive data protection problem with a different architecture and operating model. Ubiq is designed as a focused runtime sensitive data protection platform that protects sensitive values directly and governs whether users, applications, service accounts, APIs, pipelines, BI tools, AI workflows, and downstream systems can access those values in cleartext at runtime.

The key distinction is not whether both platforms help protect sensitive data. They do.

The key distinction is how they are deployed, integrated, operated, and extended across modern application, database, warehouse, API, BI, pipeline, and AI workflows.

Fortanix is a broad cryptographic infrastructure and data security platform with multiple capabilities across DSM, KMS, HSM, secrets, encryption, tokenization, and confidential computing. Depending on the deployment model, Fortanix implementations may involve DSM configuration, key objects, secrets, cryptographic services, tokenization services, HSM integrations, confidential computing environments, enclave management, and cryptographic operations planning.

Ubiq is a single runtime data protection platform designed to integrate through software libraries, APIs, database and warehouse integrations, BI patterns, and AI/data workflow enforcement without requiring a heavy cryptographic infrastructure footprint.

Ubiq also supports modern AI, RAG, and vector-driven workflows by separating protection of sensitive source data from AI/vector computation. Sensitive records and identifiers can remain protected and identity-governed, while AI workflows operate on controlled derived representations that preserve semantic search, retrieval, and analysis functionality without broadly exposing plaintext sensitive values.

Key Takeaways

• Fortanix and Ubiq both help protect sensitive data, but they differ significantly in architecture, deployment model, operational focus, and runtime enforcement approach.
• Fortanix is strong for enterprise key management, HSM-backed operations, secrets management, tokenization, encryption services, confidential computing, and centralized cryptographic policy.
• Fortanix deployments may involve DSM configuration, key objects, secrets, cryptographic services, tokenization services, HSM integrations, confidential computing environments, enclave management, and cryptographic operations planning depending on the use case.
• Ubiq is designed as a focused runtime sensitive data protection platform with software libraries, APIs, and data workflow integrations that are easier for application, data engineering, analytics, and security teams to deploy and operate.
• Ubiq protects selected sensitive values and controls whether an identity or workflow can access those values in cleartext at runtime.
• Ubiq is especially useful when organizations need field and record-level enforcement across applications, databases, warehouses, APIs, service accounts, pipelines, BI tools, AI/RAG workflows, exports, and downstream systems.
• Ubiq can also support AI/vector-driven workflows where traditional encryption or tokenization may break semantic meaning, similarity search, or vector-based computation if applied directly to the values the AI workflow needs to interpret.

Where Fortanix Helps

Fortanix provides broad enterprise data security and cryptographic infrastructure capabilities.

Its capabilities can help teams:

• Manage cryptographic keys
• Use HSM-backed key protection
• Support multicloud key management
• Manage secrets, passwords, API keys, certificates, and other sensitive objects
• Support encryption and tokenization workflows
• Use format-preserving encryption and data tokenization patterns
• Modernize HSM and KMS operations
• Support BYOK, HYOK, cloud key management, and related key control patterns
• Support post-quantum cryptography readiness initiatives
• Use confidential computing to protect applications and data in use
• Manage trusted execution environment and enclave-based workloads
• Centralize cryptographic policy and auditability
• Support compliance and regulatory requirements

These capabilities are valuable for enterprise cryptographic operations.

They help answer questions such as:

• Where are keys, secrets, certificates, and cryptographic objects managed?
• Which applications or services can use specific keys or secrets?
• How are keys generated, rotated, disabled, and audited?
• Which workloads require HSM-backed key protection?
• Which workloads should run in confidential computing environments?
• Which fields or values should be tokenized or encrypted?
• How can cryptographic operations be centralized across cloud, hybrid, and on-premises environments?

For organizations with existing Fortanix deployments, Fortanix can provide a strong foundation for centralized cryptographic operations, key management, HSM services, tokenization, secrets management, and confidential computing.

Where Ubiq Is Different

Ubiq is focused on runtime sensitive data protection.

That means Ubiq is designed to answer a specific operational question:

Should this user, application, service account, pipeline, BI tool, AI workflow, or downstream system receive this sensitive value in cleartext right now?

Ubiq protects selected sensitive fields and records, then enforces cleartext access through identity-aware policy at runtime.

This allows organizations to:

• Protect sensitive values directly
• Govern cleartext access by identity, role, application, dataset, and context
• Apply protection across applications, databases, warehouses, APIs, BI tools, pipelines, and AI workflows
• Restrict cleartext access for service accounts and automation
• Reduce exposure in BI and analytics workflows
• Support AI, RAG, notebook, MCP, agent, and vector-driven workflows without broadly exposing sensitive plaintext
• Preserve protection when data is copied, exported, embedded, indexed, replicated, or consumed downstream
• Maintain separation between system access, key access, and sensitive value authorization
• Separate protection of sensitive source data from controlled AI/vector computation where semantic functionality is required

The difference is not that Fortanix protects data and Ubiq does not, or vice versa.

The difference is that Fortanix is a broad cryptographic infrastructure and data security platform, while Ubiq is a focused runtime data protection layer designed to be easier to integrate and operate across modern software and data workflows.

Comparison Matrix

Key Architectural Differences

Broad Cryptographic Infrastructure vs Focused Runtime Data Protection

Fortanix is a broad cryptographic infrastructure and data security platform.

It includes key management, HSM-backed cryptographic operations, secrets management, tokenization, encryption services, and confidential computing.

That breadth can be valuable, especially when an organization wants one enterprise platform for cryptographic operations, key control, secrets management, HSM modernization, or enclave-based workload protection.

However, that breadth can also make implementation and operation broader than what some application and data teams need when the immediate requirement is runtime enforcement for sensitive values.

Ubiq is intentionally more focused.

Ubiq’s core question is:

Which identities and workflows should be able to access selected sensitive values in cleartext?

Ubiq is designed to protect sensitive values and enforce runtime cleartext access through software libraries, APIs, database integrations, warehouse integrations, BI patterns, and AI/data workflow enforcement.

This makes Ubiq easier to implement in modern application and data environments where teams need field and record-level runtime protection without deploying a broad cryptographic infrastructure platform first.

Multiple Cryptographic Services vs One Runtime Protection Platform

Fortanix can involve multiple product areas depending on the desired outcome.

For example, a deployment may involve:

• Data Security Manager
• Key management
• HSM-backed cryptographic operations
• Secrets management
• Tokenization services
• Encryption services
• Certificate and object lifecycle management
• Confidential computing
• Secure enclave workloads
• Cryptographic policy and audit workflows

Those capabilities are powerful, but they may also require more architecture planning, deployment coordination, operational ownership, policy administration, and ongoing cryptographic services management.

Ubiq is designed as one runtime sensitive data protection platform.

Instead of requiring teams to assemble and operate multiple cryptographic services before enforcing runtime access to sensitive values, Ubiq provides a single protection model for:

• Encryption
• Tokenization
• Masking
• Identity-aware policy enforcement
• Field and record-level cleartext authorization
• Application, database, warehouse, API, BI, pipeline, and AI workflow integrations

This difference matters when the goal is to protect sensitive values quickly and consistently across modern systems without adding unnecessary operational complexity.

Cryptographic Operations vs Runtime Cleartext Decisions

Fortanix is strong at managing and performing cryptographic operations.

It can help answer questions such as:

• Which workload can use this key?
• Which application can retrieve this secret?
• Which cryptographic operation is allowed?
• Which workload should run in a confidential computing environment?
• Which service should perform tokenization or encryption?

Those are important questions.

Ubiq addresses a different question:

Is this identity, application, service account, API, pipeline, BI tool, or AI workflow allowed to see this sensitive value in cleartext right now?

This distinction matters because key access, secret access, tokenization access, or enclave execution does not always equal sensitive value authorization.

A workload may be authorized to use a key or call a cryptographic service, but different users, applications, service accounts, BI tools, or AI workflows may still require different levels of cleartext access to the same sensitive data.

Complex Cryptographic Infrastructure vs Software Libraries and Simple APIs

Fortanix supports many enterprise cryptographic patterns, but those patterns may involve DSM configuration, key objects, app objects, secrets, policies, tokenization services, HSM-backed operations, enclave workloads, or cryptographic service integration.

That is often appropriate for centralized KMS/HSM, secrets, tokenization, and confidential computing programs.

Ubiq is designed for software and data workflow integration.

Ubiq can be embedded where sensitive data is created, queried, transformed, analyzed, or consumed through:

• Software libraries
• Simple APIs
• Application integration
• Database integration
• Warehouse integration
• BI integration patterns
• Data pipeline workflows
• AI and RAG workflows

This is a major operational difference.

With Ubiq, application, data, analytics, and security teams can focus on the actual data protection questions:

• Which fields or records need protection?
• Which identities can see cleartext?
• Which applications or workflows need enforcement?
• What should service accounts receive?
• What should BI users see?
• What should AI workflows receive?
• What happens when data is copied, exported, or consumed downstream?

They do not need to start by deploying a broad cryptographic services footprint before enforcing runtime protection.

AI and Vector Workflows Without Broad Plaintext Exposure

AI, RAG, and vector search workflows create a difficult data protection challenge.

Data teams often want to run semantic search, similarity matching, retrieval, model enrichment, or agent workflows on sensitive data. But traditional encryption or tokenization can break semantic meaning, similarity search, or vector-based computation if applied directly to the values the AI workflow needs to interpret.

Ubiq supports this by separating protection of sensitive source data from AI/vector computation.

Sensitive source records, identifiers, and regulated fields can remain protected and identity-governed, while AI/vector workflows operate on controlled derived representations that preserve the functionality required for semantic search, retrieval, or analysis.

This allows organizations to support AI-driven workflows without broadly exposing plaintext sensitive data or weakening the protection model around the original sensitive values.

This is especially important for regulated data environments where teams want to enable AI use cases but cannot simply decrypt, copy, or expose raw sensitive values into notebooks, vector stores, RAG pipelines, model workflows, or downstream AI systems.

Key Access vs Sensitive Value Authorization

Fortanix can govern which applications, workloads, or users can access keys, secrets, tokenization services, or cryptographic operations.

Ubiq governs whether a specific identity or workflow should receive a sensitive value in cleartext.

These are related, but different, questions.

Fortanix may answer:

Is this workload allowed to use this key, secret, or cryptographic operation?

Ubiq answers:

Is this user, application, service account, API, pipeline, BI tool, or AI workflow allowed to see this sensitive value in cleartext right now?

This is especially important when multiple users or workflows share the same application, dataset, service account, or database access path but require different levels of sensitive data visibility.

Confidential Computing vs Data Workflow Protection

Fortanix has a strong position around confidential computing, including running applications and data in secure enclaves or trusted execution environments.

Confidential computing can reduce exposure of data and code during processing, especially in cloud or multi-party environments.

Ubiq addresses a different problem: controlling sensitive value exposure across data workflows.

Sensitive values may be accessed by:

• Applications
• APIs
• Databases
• Warehouses
• BI tools
• Data pipelines
• Event streams
• RAG systems
• AI agents
• MCP tools
• Notebooks
• Vector stores
• Downstream replicas
• Vendor feeds

Ubiq is built to enforce sensitive value access across these runtime paths, whether or not the workload itself runs inside a confidential computing environment.

Security-Operated Cryptographic Platform vs Workflow-Level Runtime Enforcement

Fortanix is often operated as a centralized cryptographic services platform. That can make sense for key management, HSM-backed operations, secrets management, tokenization services, and confidential computing.

However, application and data teams may experience that model as heavier if they need to coordinate with platform owners, configure cryptographic objects, integrate tokenization services, manage secrets, configure enclave workloads, or wait for central cryptographic infrastructure before protecting sensitive fields.

Ubiq is designed to be easier for application, data engineering, analytics, and security teams to deploy and operate directly in the workflows where sensitive data is actually used.

That means teams can protect sensitive values through familiar implementation patterns rather than routing every use case through a centralized cryptographic infrastructure project.

This matters when organizations need to move quickly across:

• Modern applications
• APIs
• Warehouses
• Databases
• Data pipelines
• BI tools
• AI and RAG workflows
• Downstream systems

How Ubiq Differentiates from Fortanix

Ubiq differentiates from Fortanix through a focused runtime enforcement model for sensitive values and a lighter operational model.

With Ubiq, selected sensitive fields can remain encrypted, tokenized, masked, or otherwise protected by default. Cleartext access is granted only when the requesting identity or workflow is authorized by policy at runtime.

This allows organizations to:

• Protect sensitive values across applications, databases, warehouses, APIs, and analytics workflows
• Control cleartext access for users, applications, service accounts, pipelines, and AI systems
• Reduce exposure in BI and reporting workflows
• Protect sensitive data used by AI, RAG, notebook, model, agent, and vector-driven workflows
• Preserve protection when data is copied, exported, embedded, indexed, replicated, or consumed downstream
• Maintain separation between system access, key access, and sensitive value authorization
• Separate sensitive source data protection from controlled AI/vector computation
• Integrate sensitive data protection into modern software and data workflows
• Avoid unnecessary cryptographic infrastructure complexity when the primary requirement is runtime sensitive value protection

In this model:

• Fortanix provides broad enterprise cryptographic infrastructure across DSM, KMS, HSM, secrets, tokenization, encryption, and confidential computing.
• Ubiq provides focused runtime sensitive value protection with identity-aware cleartext enforcement and simpler software-based integration patterns.
• Ubiq can also support AI/vector-driven workflows by allowing sensitive source data to remain protected while controlled derived representations support semantic search, retrieval, and analysis.

The right choice depends on the customer’s architecture, incumbent systems, deployment preferences, cryptographic infrastructure needs, confidential computing strategy, AI/data workflow needs, and the level of identity-aware runtime enforcement required.

Internal Evaluation Questions

When evaluating Fortanix and Ubiq, teams should ask:

• Are we looking for centralized cryptographic infrastructure or focused runtime sensitive data protection?
• Do we have existing Fortanix DSM, KMS, HSM, tokenization, or confidential computing deployments that should remain in place?
• Which use cases require centralized key management, HSM-backed operations, secrets, tokenization services, or confidential computing?
• Which use cases simply require field and record-level runtime protection?
• Which sensitive fields require identity-aware cleartext authorization at runtime?
• Which workflows receive sensitive data in cleartext today?
• Which users, applications, service accounts, APIs, pipelines, BI tools, and AI workflows can access sensitive values today?
• How much cryptographic infrastructure are we willing to deploy and operate?
• Do application and data teams need a simpler integration model using software libraries, APIs, database integrations, and workflow-level enforcement?
• Do we need HSM-backed cryptographic operations, secrets management, or confidential computing, or do we need runtime protection inside modern application and data workflows?
• What happens when sensitive data is exported, copied, logged, joined, materialized, embedded, indexed, or replicated?
• Do BI tools, dashboards, extracts, and reports expose sensitive values?
• Do AI, RAG, notebook, MCP, vector store, model training, model inference, or agent workflows access sensitive values?
• Do we need semantic search, similarity matching, retrieval, enrichment, or vector workflows on sensitive data?
• Would direct encryption or tokenization of sensitive values break semantic interpretation or vector-based computation?
• Can sensitive source records and identifiers remain protected while AI/vector workflows operate on controlled derived representations?
• Should service accounts, APIs, pipelines, or automation workflows receive cleartext, or only protected values?
• Which control determines whether a specific identity or workflow can see sensitive values in cleartext?
• Does the protection model need to work across platforms beyond a single application, database, warehouse, enclave, cryptographic service, or AI workflow?

Summary

Fortanix provides a broad data security platform with strong capabilities for key management, HSM services, secrets management, tokenization, encryption, confidential computing, and cryptographic operations.

Ubiq addresses the same overall data protection problem with a focused runtime sensitive data protection model and a simpler software-based integration approach.

By protecting selected sensitive values directly and governing cleartext access through identity-aware policy, Ubiq helps organizations reduce exposure across users, applications, service accounts, APIs, pipelines, databases, warehouses, BI tools, AI workflows, exports, and downstream systems.

Ubiq also helps organizations support AI, RAG, and vector-driven workflows where teams need semantic search, retrieval, or analysis without broadly exposing sensitive source values in plaintext or weakening encryption posture.

Fortanix is a unified cryptographic infrastructure and data security platform.

Ubiq is a focused runtime sensitive value protection layer.

Fortanix is often the better fit when the primary need is centralized cryptographic infrastructure, HSM-backed operations, secrets management, tokenization services, or confidential computing.

Ubiq is often the better fit when the primary need is easier deployment, lower operational overhead, software-based integration, identity-aware runtime enforcement, and AI/vector workflow support across modern data workflows.

The best fit depends on architecture, deployment model, workflow coverage, cryptographic infrastructure needs, confidential computing requirements, AI/data workflow requirements, and the level of identity-aware runtime enforcement required.