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What is Protegrity?

Our platform empowers businesses to harness data for advanced analytics, machine learning, and AI, all while ensuring that customers, employees, and intellectual property remain secure. The Protegrity Data Protection Platform goes beyond mere data protection; it also identifies and classifies data while safeguarding it. To effectively protect data, one must first be aware of its existence. The platform initiates this process by categorizing data, enabling users to classify the types most frequently found in the public domain. After these classifications are set, machine learning algorithms come into play to locate the relevant data types. By integrating classification and discovery, the platform effectively pinpoints the data that requires protection. It secures data across various operational systems critical to business functions and offers privacy solutions such as tokenization, encryption, and other privacy-enhancing methods. Furthermore, the platform ensures ongoing compliance with regulations, making it an invaluable asset for organizations aiming to maintain data integrity and security.

What is Data Sentinel?

In the competitive landscape of business leadership, it is essential to maintain steadfast trust in your data, ensuring it is meticulously governed, compliant, and accurate. This involves the seamless integration of all data from various sources and locations, unrestricted by any barriers. A thorough understanding of your data assets is vital for effective oversight. Regular audits should be conducted to evaluate risks, compliance, and quality, thereby supporting your strategic initiatives. Additionally, cultivating a comprehensive inventory of data across diverse sources and types promotes a unified comprehension of your data landscape. Implementing a prompt, economical, and accurate one-time audit of your data resources is crucial. Audits focused on PCI, PII, and PHI can be executed efficiently and thoroughly. This method negates the necessity for any software acquisitions. It is critical to assess and audit the quality and redundancy of data in all enterprise assets, whether they exist in the cloud or on-premises. Compliance with international data privacy regulations must be maintained on a large scale. Continuous efforts to discover, classify, monitor, trace, and audit adherence to privacy standards are imperative. Moreover, managing the dissemination of PII, PCI, and PHI data while automating compliance with Data Subject Access Requests (DSAR) is essential. This all-encompassing approach not only preserves the integrity of your data but also contributes significantly to enhancing overall business efficiency and effectiveness. By implementing these strategies, organizations can build a resilient framework for data governance that adapts to emerging challenges and opportunities in the data landscape.

Media

Media

Integrations Supported

Amazon Athena
Amazon S3
Amazon Web Services (AWS)
Apache Hive
Azure Synapse Analytics
Google Cloud BigQuery
Google Cloud Storage
Microsoft Power BI
MySQL
PostgreSQL
SQL Server
Snowflake
Teradata VantageCloud

Integrations Supported

Amazon Athena
Amazon S3
Amazon Web Services (AWS)
Apache Hive
Azure Synapse Analytics
Google Cloud BigQuery
Google Cloud Storage
Microsoft Power BI
MySQL
PostgreSQL
SQL Server
Snowflake
Teradata VantageCloud
CockroachDB
Highrise
Jira
Meta Ads
RSS
Redis
SAP Fieldglass

API Availability

API Availability

Pricing Information

Subscription
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Protegrity

Date Founded

1996

Company Location

United States

Company Website

www.protegrity.com

Company Facts

Organization Name

Data Sentinel

Company Location

United States

Company Website

www.data-sentinel.com

Categories and Features

Big Data

Collaboration
Data Warehousing
High Volume Processing

Compliance

Audit Management
FDA Compliance
HIPAA Compliance
ISO Compliance
Risk Management

Data Classification

Not specified

Data Discovery

Data Classification
Sensitive Data Identification

Data Governance

Access Control
Data Discovery
Policy Management
Roles Management

Data Management

Data Security
Information Governance

Data Masking

Not specified

Data Privacy Management

Access Control
CCPA Compliance
Data Mapping
GDPR Compliance
Policy Management
Sensitive Data Identification

Data Security

Audits
Data Classification
Data Discovery
Data Masking
Encryption
Identity / Access Management
Logging / Reporting
Policy Management
Sensitive Data Compliance

Data Tokenization

Not specified

Encryption

Central Policy Enforcement
Encryption Key Management
Tokenization / Data Masking

GDPR Compliance

Access Control
Policy Management
Sensitive Data Identification

HIPAA Compliance

Access Control / Permissions
Data Security
For Healthcare

PCI Compliance

Access Control
Compliance Reporting
Log Management
Policy Management

Categories and Features

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