DataSunrise Data Security Platform

Find sensitive data, monitor activity, and protect it

Discover sensitive data across cloud, databases, storage, OneDrive, SharePoint, Salesforce, and AI. Investigate activity, prioritize risk, and apply protection from one platform.

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Find sensitive data and risks
Monitor activity and investigate
Apply masking, firewall, encryption, and test-data controls

Platform overview

Bring data security work into one platform

DataSunrise brings discovery, monitoring, and protection together, giving security, database, and compliance teams a shared view of sensitive data, risk, and activity.

Teams can investigate an event, prepare audit evidence, or move into the right masking, firewall, encryption, or test-data workflow without rebuilding the context in another tool.

How it works

How discovery, monitoring, and protection connect

Your data environment

Databases and DBaaS
Cloud, object, file, OneDrive, and SharePoint sources
Generative AI services

Connect and collect

Cloud APIs and direct connectors
Native audit, proxy, sniffer, and host agent
Squid/eCAP for Generative AI

Find sensitive data and risks Map data across cloud, database, file, and collaboration environments, then prioritize what matters most. Monitor activity and investigate Capture database activity and Generative AI interactions for investigations, alerts, and audit trails. Apply protection Block risky database operations, mask sensitive values, encrypt PostgreSQL data, and apply controls to Generative AI traffic.

DataSunrise can discover sensitive data and risks without sitting in the traffic path. Inline deployment adds real-time blocking and masking.

Product evidence

See the workflow in DataSunrise

Product screens show how policy, evidence, and protection appear in practice.

DataSunrise Risk Scoring result showing one Bigtable Cassandra object with risk score 13, Low, and links to score changes and details — **Database Risk Scoring result** Risk Scoring summarizes severity counts and lists each analyzed object with its instance, database, schema, score changes, and detailed information. This example shows one Bigtable object rated 13, Low.

DataSunrise Transactional Trails table for PostgreSQL, MSSQL, Oracle, Snowflake, and MySQL sessions, with host, application, instance, login, event count, and behavior — **Transactional Trails activity records** Transactional Trails correlate each captured session with database type, host, application, instance, login, event count, and behavior. The example marks the Oracle dba_admin session as Privileged and a MySQL support_agent session for Review.

DataSunrise Masking Settings with Mask Columns selected for customer fields including names, email address, location, and IP address — **Masking scope by database column** The Masking Settings tree scopes a rule to specific database objects and columns. Here, Mask Columns is selected for the public.customers table, including names, email, address, location, and IP fields.

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Product families

Three Product Families for Different Security Needs

Choose the family that solves your immediate problem. Use one on its own, combine two, or bring all three together in one platform.

Posture and Discovery

Where is our sensitive data, and what is most at risk?

Active DSPM finds sensitive data, assesses posture, and prioritizes risk across cloud and connected data environments.

Runtime Visibility

How is our data being used, and what needs investigation?

Runtime Visibility brings database and Generative AI monitoring together. Database Activity Monitoring includes the Data Audit investigation and evidence workflow.

Protection and Enforcement

How do we stop risky access and make data safe to use?

Data Protection and Enforcement blocks risky operations, masks sensitive values, and protects production and non-production data.

Check your environment

See what DataSunrise can do with your environment

Explore integrations