Looking for a Fortanix alternative? See how Ubiq's identity-driven runtime data protection compares to Fortanix Data Security Manager for encrypting, tokenizing, and masking sensitive data across apps, databases, BI, and AI workflows.
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CMMC 2.0 Level 1The problem is no longer just who gets in. Sensitive data is now accessed by users, applications, APIs, service accounts, analytics tools, AI agents, and MCP workflows. Access paths are multiplying, but controls have not kept up. That runtime gap is where exposure happens.
IAM and IGA help determine who can access a system. But access to the system does not answer what sensitive data that identity should be allowed to see, use, or expose at runtime.
A user prompts an agent. The agent calls tools, APIs, databases, warehouses, and applications. Controls need to follow identity through the workflow, not stop at the original login.
Apps, APIs, service accounts, analytics tools, AI agents, and automation jobs all consume sensitive data. The more consumers there are, the harder it becomes to control what each identity can actually see and use.
Sensitive data rarely stays in one place. It moves through workflows, tools, prompts, reports, exports, logs, and downstream systems. Each new access path creates another point where exposure can happen.
Ubiq closes the runtime gap by controlling what sensitive data each identity can see and use at the moment of access.
How Ubiq works
Ubiq evaluates the requesting identity, context, and policy at runtime, then returns only the representation that identity is authorized to see.
Access request
Protected employee record
Real-time evaluation
Runtime data outcome
Authorized to process the employee record
Needs to confirm the record, not read all fields
Authorized for analysis without direct identifiers
Operates on protected values, never cleartext
Protected once. Resolved differently at runtime for each identity.
Both platforms protect sensitive data and manage keys. The difference is how each is deployed, integrated, and enforced across modern application, database, BI, and AI workflows.
| Capability | Fortanix | Ubiq |
|---|---|---|
| Identity-aware runtime cleartext authorizationDecide which users, services, and workflows can read sensitive values right now. | Partial | ✓ |
| Identity-governed runtime data outcomesReturn full, masked, de-identified, tokenized, or no data for the same record by identity, context, and policy. | Partial | ✓ |
| Access Graph across identities, access groups & datasetsMap which identities, access groups, and datasets are connected and how access flows between them. | – | ✓ |
| Anomalous sensitive-data access detectionSurface new identities, new access paths, and unusual dataset access. | – | ✓ |
| Vaultless tokenization & format-preserving encryption | ✓ | ✓ |
| Field & record-level protectionEncrypt, tokenize, or mask individual values, not just storage. | ✓ | ✓ |
| SDK and API integration, live in minutesAdd a few lines of code across major languages, no appliances. | Partial | ✓ |
| Centralized HSM / KMS & key lifecycle managementConsolidate keys, secrets, and HSM operations in one platform. | ✓ | Partial |
| Confidential computing / enclave-based key operationsRun crypto inside hardware-isolated enclaves. | ✓ | – |
| Bring your own HSM / KMS | ✓ | ✓ |
| No hardware, VMs, agents, or proxies to deployIntegrate through SDKs and APIs inside your own environment. Fortanix is anchored to HSM or confidential-computing nodes and the Data Security Manager that back its cryptography. | Partial | ✓ |
| Enforcement across BI, pipelines & AI/RAG workflowsKeep values protected downstream across exports, notebooks, vector stores, MCP servers, and AI agents. | Partial | ✓ |
| FIPS 140-2 Level 3 key storage, NIST-approved algorithms | ✓ | ✓ |
| AI & vector search on protected dataKeep sensitive source data encrypted and identity-governed while AI and vector workflows run on derived representations that preserve similarity search. | – | ✓ |
| Sensitive-data discovery & classification | – | ✓ |
| Data never leaves your environmentOnly encrypt/decrypt key calls reach the platform. | ✓ | ✓ |
Same data. Different identities. Different outcomes.
Ubiq shows you who and what is accessing protected data, how access flows from identities to datasets, and when access looks anomalous. Representative views of the Ubiq console.
Access Visibility
See protected vs unprotected records, active datasets, top identities, and anomalies across your data estate.
Records Protected
1.6B
Records Unprotected
670.5M
Active Datasets
25
Active Identities
Ubiq API keys
7
Active Identities
Integrated IdP
1
Use Cases Deployed
deployed
1 / 1
Protected Data Access
Top sensitive data accessed in the selected period
| Sensitive Data | Protected | Unprotected | Identities | Anomalies |
|---|---|---|---|---|
| SSNTop identity: Analytics Service | 77.1M | 41.1M | 4 | 2 |
| Account NumberTop identity: Reporting Service | 108M | 1.7M | 5 | 1 |
| Date of BirthTop identity: Data Pipeline | 16.7M | 1.7M | 3 | 0 |
| Free-text PIITop identity: Support Console | 8.8M | 8.8M | 2 | 0 |
Protection Activity
Last 7 daysAnomalous Events
Coming soonFirst-time decrypt access to PAN
IAM Connect (service account)
Unusual spike in SSN access
Analytics Service
New identity accessing Tax ID
Data Pipeline (workload)
Access from new location
BI Reporting
Unusual access pattern to Account Number
App Backend
Top Identities
Last 7 days| Identity | Top Dataset | Records | Anomalies |
|---|---|---|---|
| Analytics Service | SSN | 499.3M | 2 |
| Reporting Service | Account Number | 312.0M | 1 |
| Data Pipeline | Date of Birth | 88.4M | 0 |
Access Graph
Trace how each identity resolves through an access group to the exact datasets it can reach.
The highlighted path shows one identity resolving through its identity group and access group to the exact datasets it can reach.
Fortanix consolidates HSM and KMS key management inside confidential-computing enclaves, but it does not govern what sensitive data each identity can see and use at runtime.
Ubiq controls what sensitive data each identity can see and use, at runtime, across the modern application and data workflows where your data already lives.
Use these questions to compare any option, including Ubiq, against the runtime exposure you actually need to close.
Fortanix Data Security Manager is centered on confidential-computing-backed key management, HSM/KMS consolidation, and enclave-isolated cryptography. Ubiq is identity-driven runtime data protection that encrypts, tokenizes, or masks individual values and governs who can read them in cleartext across applications, databases, BI tools, and AI workflows, with no agents or proxies.
Yes. Ubiq is a strong Fortanix alternative for teams that want identity-aware protection of sensitive values across applications and data workflows, adding identity-governed runtime outcomes, access visibility, an Access Graph, and anomalous-access detection that key-management platforms do not provide.
Ubiq can replace Fortanix for application-level encryption, tokenization, masking, and runtime access enforcement, and it supports customer-managed HSM and KMS patterns so you can bring your own key infrastructure while Ubiq governs identity-aware runtime data access across applications and data workflows.
Yes. Ubiq supports customer-managed HSM and KMS patterns, so organizations can bring their own key infrastructure while Ubiq handles identity-aware encryption, tokenization, masking, and runtime cleartext authorization across applications and data workflows.
Ubiq governs sensitive data at the point of access, so when an AI agent, MCP server, RAG pipeline, or vector store requests data on a user's behalf, Ubiq evaluates the calling identity, context, and policy and returns full, masked, de-identified, tokenized, or no data. Protected values stay protected when embedded, indexed in a vector store, or consumed by a downstream agent.
Yes. Ubiq separates protection of sensitive source data from vector computation. Sensitive records and identifiers stay strongly encrypted and identity-governed, while AI and vector workflows operate on derived representations in a controlled way that preserves similarity search. Teams can enable AI-driven search and analysis without exposing plaintext or weakening their encryption posture.