DSPM vs Ubiq

Executive Summary

Data Security Posture Management, or DSPM, helps organizations discover sensitive data, classify it, understand where it resides, analyze who has access, and identify exposure, misconfiguration, compliance, and AI-related risks.

These capabilities are valuable and should remain part of the architecture.

DSPM addresses an important visibility and risk assessment problem. It helps security and data teams answer questions such as where sensitive data exists, who can access it, whether it is overexposed, and which repositories or workflows create risk.

Ubiq addresses a different layer of the problem: protecting sensitive values themselves and governing whether users, applications, service accounts, APIs, pipelines, BI tools, AI workflows, and downstream systems can access those values in cleartext at runtime.

The strongest model is layered. Use DSPM to discover, classify, prioritize, and monitor sensitive data risk. Use Ubiq to enforce identity-aware runtime protection of sensitive fields and records across applications, databases, warehouses, APIs, BI tools, AI workflows, and downstream systems.

Key Takeaways

• DSPM and Ubiq runtime sensitive data protection solve different problems and should be viewed as complementary controls.
• DSPM is strong for discovering sensitive data, classifying data, assessing access exposure, identifying misconfigurations, and prioritizing data risk.
• Ubiq protects selected sensitive values directly and controls whether an identity or workflow can access those values in cleartext at runtime.
• DSPM helps teams understand where sensitive data risk exists. Ubiq helps enforce protection where sensitive values are accessed or used.
• Ubiq is especially useful when organizations need to reduce cleartext exposure across users, service accounts, applications, APIs, pipelines, BI tools, AI/RAG workflows, exports, and downstream systems.

Control Boundary View

Where DSPM Helps

DSPM provides important visibility into sensitive data risk across modern enterprise environments.

These tools help teams:

• Discover sensitive data across cloud, SaaS, database, warehouse, file, and hybrid environments
• Classify structured, semi-structured, and unstructured data
• Identify unknown, unmanaged, or shadow data stores
• Map where sensitive data resides
• Assess who has access to sensitive data
• Detect overexposed data
• Identify misconfigurations and excessive permissions
• Prioritize risky repositories, datasets, and access paths
• Support compliance and privacy workflows
• Monitor data exposure over time
• Understand AI-related data exposure and oversharing risks

These capabilities are valuable for data security visibility and posture management.

They help answer questions such as:

• Where does sensitive data exist?
• What type of sensitive data is present?
• Who has access to it?
• Is the data overexposed?
• Are permissions too broad?
• Are sensitive datasets copied into unmanaged or risky locations?
• Which data stores create the highest risk?
• Which issues should be remediated first?

For many organizations, DSPM is an important first step in understanding data risk.

However, DSPM is primarily a discovery, classification, risk assessment, and posture management control. It does not, by itself, provide a runtime enforcement layer that controls whether a specific identity or workflow receives sensitive values in cleartext at the time of access.

Where DSPM Is Not Designed to Go

DSPM is not designed to be the primary runtime control point for sensitive value exposure across every access path.

This distinction matters because discovering sensitive data is not the same as protecting it during use.

Sensitive values may be accessed, copied, transformed, exported, joined, materialized, embedded, or consumed by:

• Internal users
• Data engineers
• Developers
• Administrators
• Application services
• Service accounts
• APIs
• ETL and ELT pipelines
• BI tools
• Dashboards and reports
• Data science notebooks
• AI and RAG workflows
• MCP-based tools and agents
• Vector stores
• Vendor feeds
• CSV, JSON, Excel, Parquet, or database exports
• Downstream databases
• Replicated datasets
• Temporary development or test environments

DSPM can help identify that these exposures exist or that access is risky. But once a user, service account, pipeline, BI tool, or AI workflow is authorized by the underlying system and receives cleartext, DSPM may not be the enforcement point that blocks or transforms the sensitive values at runtime.

That is the architectural gap Ubiq is designed to address.

Comparison Matrix

Key Architectural Differences

Visibility vs Runtime Enforcement

DSPM helps teams see where sensitive data exists and where risk may be present.

Ubiq helps control whether sensitive values are revealed in cleartext at runtime.

This distinction is important.

A DSPM tool may identify that sensitive data exists in a warehouse, database, file store, SaaS application, or AI workflow. It may also identify that access is too broad or that a dataset is exposed.

Ubiq addresses the next question:

When an identity or workflow accesses this data, should it receive the sensitive value in cleartext?

That is a runtime enforcement question, not just a posture question.

Finding Sensitive Data vs Protecting Sensitive Values

DSPM is valuable because organizations often do not know where sensitive data exists or how exposed it is.

However, finding sensitive data does not automatically protect it.

Once sensitive values are identified, organizations still need controls that can reduce cleartext exposure across users, applications, APIs, pipelines, BI tools, AI workflows, exports, and downstream systems.

Ubiq provides that sensitive value protection layer by encrypting, tokenizing, masking, or otherwise protecting selected fields and records, then governing cleartext access through identity-aware policy.

Access Exposure vs Cleartext Authorization

DSPM can help identify who has access to sensitive data and whether that access appears excessive or risky.

Ubiq determines whether an identity or workflow should actually receive sensitive values in cleartext.

With DSPM, the question is often:

Who has access to this sensitive dataset?

With Ubiq, the question becomes:

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

Both questions matter, but they are different.

Posture Findings vs Preventive Controls

DSPM findings are often used to drive remediation.

Examples include:

• Remove excessive permissions
• Close public access
• Reclassify data
• Change storage configuration
• Fix misconfigured access policies
• Archive or delete stale sensitive data
• Notify data owners
• Update governance workflows

These actions are valuable.

However, remediation can take time and may depend on many teams. During that time, sensitive data may still be accessible in cleartext through existing workflows.

Ubiq provides a preventive runtime control that can limit cleartext exposure even when users, service accounts, or workflows retain access to a system.

Data Estate Visibility vs Cross-Workflow Protection

DSPM is designed to provide visibility across the data estate.

Ubiq is designed to protect sensitive values across workflows.

This matters because sensitive data often moves.

A sensitive value may begin in an application database, be copied into a warehouse, exported into a BI extract, joined into a data science notebook, embedded into a vector store, and shared with a downstream application.

DSPM can help identify and prioritize this spread.

Ubiq can help keep the sensitive value protected across those paths unless an authorized runtime decision allows cleartext.

When to Use Both

DSPM and Ubiq are not mutually exclusive.

Organizations should continue using DSPM for:

• Sensitive data discovery
• Data classification
• Data inventory and mapping
• Access exposure analysis
• Permission and misconfiguration review
• Data owner workflows
• Risk scoring and prioritization
• Compliance and privacy workflows
• AI-related data exposure analysis
• Remediation planning

Ubiq should be considered when organizations also need to:

• Protect sensitive values directly
• Govern cleartext access by identity, role, application, dataset, and context
• Apply consistent protection across applications, databases, warehouses, APIs, BI tools, and AI workflows
• Limit blast radius from compromised credentials, service accounts, tokens, or API keys
• Restrict cleartext access for non-human identities and automation
• Protect sensitive values used by BI, AI, RAG, notebooks, agents, and downstream systems
• Maintain protection when data is copied, exported, embedded, indexed, replicated, or consumed downstream
• Apply field- and record-level cleartext controls across multiple platforms

The layered model is simple:

• Use DSPM to find, classify, assess, and prioritize sensitive data risk.
• Use Ubiq to enforce runtime sensitive value protection.

How Ubiq Complements DSPM

Ubiq complements DSPM by turning sensitive data visibility into runtime protection.

DSPM can help identify which data is sensitive, where it exists, who has access, and where risk is concentrated.

Ubiq can then help protect selected sensitive values and enforce whether users, applications, service accounts, pipelines, BI tools, AI workflows, and downstream systems can access those values in cleartext.

With Ubiq, 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:

• Use DSPM findings to prioritize which fields or datasets require protection
• Protect sensitive values across databases, warehouses, applications, 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, and agent workflows
• Preserve protection when data is copied, exported, embedded, indexed, replicated, or consumed downstream
• Maintain separation between system access and sensitive value authorization

In this model:

• DSPM identifies sensitive data risk.
• Ubiq enforces runtime protection of sensitive values.

Together, they provide a stronger data security architecture than either approach provides alone.

Internal Evaluation Questions

When evaluating DSPM and Ubiq together, teams should ask:

• Do we know where sensitive data exists across our environment?
• Do we know which users, service accounts, applications, and workflows can access it?
• Which sensitive datasets are overexposed?
• Which posture findings require immediate remediation?
• Which sensitive fields require protection beyond discovery and classification?
• Which workflows receive sensitive data in cleartext today?
• 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?
• 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?
• How do we move from visibility into enforcement?

Summary

DSPM provides important visibility into sensitive data risk. It helps organizations discover sensitive data, classify it, assess access exposure, identify misconfigurations, and prioritize remediation.

Ubiq addresses a different layer: runtime sensitive data protection.

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, BI tools, AI workflows, exports, and downstream systems.

DSPM helps organizations understand where sensitive data risk exists.

Ubiq controls exposure of sensitive values at runtime.

The strongest architecture uses both.