Tech / Database Management Systems

Find a needle in a haystack.

Personal data sits in dozens of databases, warehouses, lakes, and object stores across a Fortune 2000 enterprise. Clarip discovers it automatically, classifies it against global privacy regulations, and applies governance, including for unstructured data stores that traditional tools miss.

Oracle Database · Microsoft SQL Server · MongoDB · PostgreSQL · Snowflake

Data store snapshot
80%+
of enterprise data is unstructured and largely ungoverned
1B+
records scanned daily by Clarip's discovery engine
300+
data sources supported out of the box
Mins
to find a subject's data across the estate

The challenge

Privacy Risk Multiplies Across Modern Data Infrastructure.

From fragmented databases and unstructured files to shadow copies and uncontrolled retention, modern data ecosystems make it difficult to locate, govern, and minimize personal data at scale.

Heterogeneous data stores

Oracle, SQL Server, Postgres, MongoDB, Cassandra, Snowflake, BigQuery, S3, each with its own access model and metadata.

Unstructured data blind spots

Personal data hides in PDFs, contracts, emails, and shared drives, invisible to schema-based tools.

Copies and shadow stores

Data is replicated for analytics, ML, and DR, multiplying the surface area of every privacy obligation.

Retention overload

Without automation, data is kept forever, turning every breach into a maximum-impact event.

Capabilities

Privacy automation built for your stack.

Automatically discover sensitive data and PII across thousands of data stores, and enforce policies that keep it safe to use, including for AI.

Universal PII Discovery

  • Govern unstructured repositories in data stores
  • Hybrid AI classifiers tuned for privacy categories
  • Auto-discover new tables, buckets, and shares

Sensitivity & Purpose Tagging

  • Tag columns and files by data category and lawful basis
  • Push tags into Snowflake, Databricks, and Purview
  • Enable downstream policy enforcement

Subject Rights at the Data Layer

  • Locate every record tied to a subject in minutes
  • Orchestrate deletion or anonymization across stores
  • Prove fulfillment with an immutable audit trail

Access & Exposure Risk

  • Surface over-permissioned tables and shares
  • Detect regulated data in dev, test, and analytics copies
  • Recommend masking and minimization actions

Retention & Deletion Automation

  • Policy-driven retention by data category and jurisdiction
  • Automated purge with full chain of custody
  • Defensible deletion evidence for regulators

Living Data Map (RoPA)

  • Continuously updated record of processing activities
  • Vendor and processor inventory tied to real data flows
  • Export-ready for audits and DPIAs

Use Cases

Built for Enterprise Data Discovery, Governance, and Privacy Operations

Data warehouse governance

Bring privacy controls across different databases without slowing analytics.

Unstructured data stores

Discover personal data in shared drives, document repositories, and object stores most tools ignore.

DSR at petabyte scale

Fulfill access and deletion requests across the entire estate within regulatory deadlines.

Customer story

“We had a dozen tools claiming to know where our personal data was. Clarip is the first that actually does, across structured databases and unstructured data stores alike.”

Chief Information Security Officer · Enterprise technology company

12

tools consolidated into one platform

10x

more PII discovered vs. previous tooling

Regulatory coverage

Enterprise Data Stores & Database Governance

Personal data lives across databases, warehouses, data lakes, and unstructured object stores throughout the enterprise. Clarip continuously discovers, classifies, and governs sensitive data across structured and unstructured environments to support global privacy and compliance requirements.

GDPR

CCPA / CPRA

HIPAA alignment

GLBA

PCI DSS alignment

LGPD

India DPDP

See your data, wherever it lives.

Run a complimentary scan of one production data source and get a privacy risk snapshot in days, not months.