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What is SecurDPS Enterprise?

Ensuring the secure transfer and use of data from the point of capture to its final disposal is essential in reducing the chances of attacks, errors, accidents, or unauthorized access. The core goal is to maintain these protective measures throughout the entire data lifecycle, which in turn aids in faster adherence to relevant regulations. To effectively implement data-centric security, a platform must be established that not only offers protection strategies customized to specific situations but also facilitates the identification, classification, and analysis of diverse datasets. This solution should extend beyond simple compliance and basic security protocols, providing maximum agility in execution. Moreover, it is crucial that these features can be integrated smoothly into existing enterprise applications and cybersecurity systems. The ease of integration can significantly impact the overall cost and risk linked to any data protection initiative, underscoring its critical role in the decision-making process. By focusing on a comprehensive integration strategy, organizations can greatly improve the efficacy of their security measures and foster a more robust approach to data management while also enhancing operational efficiency. Thus, a proactive stance on integration not only fortifies security but also streamlines processes across the board.

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.

Media

Media

Integrations Supported

SAP SuccessFactors
Salesforce

Integrations Supported

AWS CloudTrail
AWS Marketplace
Amazon Aurora
Amazon CloudWatch
Amazon EC2
Amazon Kinesis
Amazon RDS
Amazon Redshift
Amazon S3
Apache Hive
Apache Spark
Azure Container Registry
Azure HDInsight
Azure Synapse Analytics
Google Cloud Dataflow
MySQL
Okta
Teradata VantageCloud

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Subscription
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

comforte AG

Date Founded

2011

Company Location

Germany

Company Website

www.comforte.com/fileadmin/Collateral/SecurDPS_Enterprise_Platform_Overview.pdf

Company Facts

Organization Name

Protegrity

Date Founded

1996

Company Location

United States

Company Website

www.protegrity.com

Categories and Features

Data Tokenization

Not specified

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

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