Accurately Identify and Catalog Sensitive Data in the Cloud

Privacera discovers and classifies sensitive information across your cloud databases, datastores and analytics environments.

Understanding Data is the Basis for Security, Privacy and Governance

It is easier than ever to move your data from the datacenter to cloud storage, databases and analytics services. It is important to understand your data, identify sensitive and restricted data before it is processed and accessed by internal or external users.

Discover and Classify Sensitive Data in Your Cloud

Traditional discovery tools rely only on metadata to discover sensitive data which results in high rates of false positives.


Privacera differs from traditional data scanning tools by incorporating rules, machine learning and natural language processing to understand the context and accurately classify your data.

How it Works?

Connect to Your Cloud Storage and Databases

Privacera automatically connects to cloud storage services, including Amazon S3 and Azure Storage, and databases, such as Amazon DynamoDB, to scan your data as soon as it is uploaded to the cloud.

Apply Machine Learning Models and Rules

Privacera uses machine learning models and rules to accurately identify specific data types and assign tags.

Auto Classify Data or Manually Review Data Classifications

Privacera assigns confidence scores to every bit of data scanned. Depending on the score, Privacera can automatically classify the data or surface it for manual review.

Centralized Data Catalog with Reporting and Monitoring

Privacera stores data classifications in a scalable metadata store and provides out-of-the-box reports to help compliance and governance teams get instant visibility. Privacera can create alerts if sensitive data is found in areas it should not be.

What Makes Privacera’s Discovery & Classification Unique?

High Precision

Privacera delivers accurate results so you can focus on identifying and protecting your truly valuable data instead of wasting precious time sifting through false positives.

Easy Extensions

Easily extend Privacera’s machine learning models and rules to fit to your specific datasets.

Built for Scale

Privacera leverages a modern big data architecture to easily scan and classify petabytes of data across cloud databases and datastores.

Easy Deployment

Privacera is built for the cloud. Privacera is a container-based solution easily deployed in any cloud environment and managed using cloud-native operational tools.

Frequently Asked Questions

What type of files does Privacera work with?

Over 50+ file types, including structured (Apache Avro, Apache Parquet, CSV), semi-structured (JSON, XML) and unstructured (documents, PDF).

How do you reduce false positives?

Privacera enables you to configure confidence levels for discovery and classification. Depending on confidence level, certain discovery results are surfaced for manual review. A data steward or a data owner can accept or reject the classification results. The Privacera classification engine learns from manual reviews and reduces the rates of false positives.

How do you support custom data types?

Governance and compliance teams can easily build custom rules or machine learning models for custom data types.

Do you take actions based on discovery results?

Privacera can help quarantine data or anonymize sensitive data if sensitive data is discovered in a specific system.

Resources & Latest News


Security and Privacy for Modern Data Platforms

Learn how to enable comprehensive security, privacy and governance in big data and cloud environments using Privacera.


Privacera for Amazon EMR

Use this link to request a Docker package to install fine-grained access control to Amazon EMR.

See Discovery & Classification in Action