For teams accountable for sensitive data.
Security, data protection, compliance, cloud, and data teams that need to know what data is sensitive, where it lives, who can reach it, and what needs to be fixed first.
Find sensitive data, see who can access it, and eliminate the riskiest paths first.
Tutela Data Security helps organizations find sensitive data, understand who can access it, and prepare the right protection decisions first.
Move from scattered inventory to clear evidence of where sensitive data lives, who can reach it, and which access paths need control first.
Product walkthrough
See Data Security in the product.
These views show how Data Security moves from discovery and classification into posture review, explainable findings, and remediation action.
Inventory is not protection.
Organizations lose track of sensitive data as it spreads across cloud storage, applications, SaaS exports, databases, and operational workflows. The risk is the combination of data sensitivity and access, not inventory alone.
Outcomes
What changes when data and access are connected.
Find regulated, confidential, and business-critical data without treating every record as equal
Map who and what can access sensitive data across identities, services, roles, and application paths
Prioritize the riskiest data-access paths first with evidence for protection, tokenization, retention, and remediation
How it works
Turn sensitive-data discovery into exposure reduction.
Data Security helps organizations move from scattered inventory to clear exposure decisions. You can discover and classify sensitive data, map the identities and services that can reach it, and prioritize protection actions based on actual business and compliance risk.
Discover the data that matters
Find regulated, confidential, and business-critical data across cloud, SaaS, applications, and operational paths without treating everything as equal.
Classify with business context
Know not just that data is sensitive, but why it matters, who owns it, and which policy or regulation applies.
See who can reach it
Map identities, services, roles, and application paths to the data they can access so risk is tied to real exposure.
Prepare control actions with evidence
Move from discovery into tokenization, protection, retention, remediation, and review decisions with cleaner supporting context.
What your team can answer
Data stores, identities, access paths, risk combinations, and control actions.
A useful DSPM workflow shows where sensitive data lives, why it matters, who can reach it, and which protection decision should come first.
Sensitive data posture
Where regulated, confidential, and business-critical data exists.
Access and exposure
Who can reach high-risk data and which access paths matter most.
Control planning
Which tokenization, protection, retention, and compliance decisions need review.
Workflow
From discovery to the first control decision.
Follow sensitive data from location and classification through access context and priority.
Sensitive data location
Find regulated, confidential, customer, business-critical, and secrets-adjacent data across customer-owned environments.
Classification
Separate meaningful data classes from flat inventory so review starts with what deserves attention.
Access path
Connect identities, services, teams, and application paths to the data they can reach.
Risk priority
Prioritize data and access combinations that create practical security, compliance, or business risk.
Control action
Prepare protection, retention, tokenization, remediation, or review decisions with clearer evidence.
Coverage map
The evidence behind each data decision.
Sensitive data map
Find sensitive data across cloud and application paths without moving review ownership away from the customer.
Classification
Classify business and regulatory context so data risk is not treated as a flat inventory problem.
Access graph
Map access paths, permissions, exposure, and graph relationships that create practical risk.
Protection decisions
Prepare tokenization, protection, and retention decisions around the data that matters most.
Review evidence
Organize review evidence security, compliance, and platform teams can use before deployment.
Customer-owned deployment
Keep sensitive context in the environment your team controls.
Tutela is designed for customer-owned deployment. The product story starts with the workflow, then uses architecture and readiness material to make adoption more trustworthy.
Customer-owned deployment
Designed for environments where sensitive data discovery, access context, and control planning should remain under customer ownership.
Data boundary review
Connect cloud data paths, identity, application access, and classification context before choosing protection actions.
Readiness before rollout
Use technical guides to prepare architecture, data ownership, and operating responsibilities before production use.
Questions teams ask
Questions Data Security should help answer.
These are the practical questions your team should be able to take into product, architecture, security, and procurement review.
Where does sensitive data exist across cloud storage, applications, and operational workflows?
Find regulated, confidential, and business-critical data without treating every record as equal
Which identities, services, or teams can reach high-risk data paths?
Map who and what can access sensitive data across identities, services, roles, and application paths
Which data classes need tokenization, protection, or retention review first?
Prioritize the riskiest data-access paths first with evidence for protection, tokenization, retention, and remediation
What evidence should security and compliance teams review before deployment?
Find regulated, confidential, and business-critical data without treating every record as equal
Read this next
Go deeper with the guide or brief that fits this product story.
Use these resources when your team is ready to move from public product fit into the next useful technical or planning conversation.
Overview
Data Security Platform Overview
Platform overview for how Data Security turns discovery, classification, and access context into a more reviewable risk story.
Who should read this next: Security leaders, data owners, and platform teams orienting around the Data Security product story.
SpecsData Security Architecture Specs
Architecture specs for teams reviewing Data Security placement, identity assumptions, and evidence boundaries in customer-owned environments.
Who should read this next: Security architects, cloud teams, and reviewers validating where Data Security sits and what the customer team owns.
Deep DiveData Security Blast Radius Analysis Technical Deep Dive
Technical deep dive for practitioners who need more than top-level posture and want to inspect blast-radius logic in context.
Who should read this next: Security practitioners and architects going deeper into access paths, data relationships, and impact analysis.
FAQ
Common questions about Data Security.
What does Tutela Data Security help us find?
It helps teams find regulated, confidential, and business-critical data across cloud, SaaS, application, database, and operational paths.
How does it reduce exposure risk?
It connects sensitive-data context with identities, services, roles, and application paths so teams can focus on the risky combinations first.
What controls does it prepare teams to apply?
Data Security prepares teams for protection, tokenization, retention, remediation, and compliance decisions by showing which data needs control and why.
How is Tutela Data Security deployed?
Tutela products are designed for customer-owned deployment so sensitive-data review can stay under the customer's operating control.
How does it work with Agentic Security?
Data Security establishes the sensitive-data map and access context that Agentic Security can use when teams govern employee AI use and AI workflow risk.
Next step
Request data security previewTalk to Tutela about Data Security.
Share what your team is evaluating so we can route the product, architecture, or deployment follow-up to the right place.