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What is Sicurnet?

Sicurnet, created by CRIF India, serves as a robust solution for monitoring data aimed at protecting personal information. It provides real-time notifications and continuous surveillance for critical data like credit card numbers, banking details, email addresses, phone numbers, and usernames. Additionally, this cutting-edge tool connects users to expert advisors who offer valuable insights on best practices to avoid time loss and financial harm. Users can also modify their information or add more personal or financial data, ensuring ongoing online monitoring. By concentrating on personal data management, Sicurnet guarantees that users receive timely updates regarding how their information is shared, particularly in high-risk online settings. The platform not only helps individuals stay informed but also empowers them to take proactive measures toward safeguarding their privacy. Ultimately, with Sicurnet, users are equipped to reduce the risks associated with data exposure while maintaining control over their personal information.

What is PHEMI Health DataLab?

In contrast to many conventional data management systems, PHEMI Health DataLab is designed with Privacy-by-Design principles integral to its foundation, rather than as an additional feature. This foundational approach offers significant benefits, including: It allows analysts to engage with data while adhering to strict privacy standards. It incorporates a vast and adaptable library of de-identification techniques that can conceal, mask, truncate, group, and anonymize data effectively. It facilitates the creation of both dataset-specific and system-wide pseudonyms, enabling the linking and sharing of information without the risk of data leaks. It gathers audit logs that detail not only modifications made to the PHEMI system but also patterns of data access. It automatically produces de-identification reports that are accessible to both humans and machines, ensuring compliance with enterprise governance risk management. Instead of having individual policies for each data access point, PHEMI provides the benefit of a unified policy that governs all access methods, including Spark, ODBC, REST, exports, and beyond, streamlining data governance in a comprehensive manner. This integrated approach not only enhances privacy protection but also fosters a culture of trust and accountability within the organization.

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Integrations Supported

Integrations Supported

Amazon Web Services (AWS)
Apache Hive
Apache Ranger
Apache Spark
Cloudera
Hadoop
Microsoft Azure
Microsoft Power BI
Tableau

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Contact PHEMI to learn about our value-based pricing.

Supported Platforms

Not specified

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

CRIF

Date Founded

2007

Company Location

India

Company Website

www.crif.in/products-and-services/sicurnet

Company Facts

Organization Name

PHEMI Systems

Date Founded

2013

Company Location

Canada

Company Website

www.phemi.com

Categories and Features

Data Security

Not specified

Categories and Features

Big Data

Data Warehousing
High Volume Processing
Predictive Analytics

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Policy Management
Process Management
Roles Management
Storage Management

Data Lineage

Not specified

Data Management

Data Analysis
Data Integration
Data Security
Information Governance

Data Masking

Not specified

Data Privacy Management

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

Data Security

Data Classification
Data Discovery
Data Masking
Data-Centric Security
Encryption
Identity / Access Management
Policy Management
Sensitive Data Compliance

Hybrid Cloud Storage

Not specified

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