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What is Infosys Enterprise Data Privacy Suite?

With the exponential growth in both the value and volume of data, the importance of data protection has shifted to a vital focus for business leaders, emerging as a potential competitive edge instead of merely a compliance requirement. Without an effective and strong data management framework in place, organizations encounter persistent challenges regarding data security, which can threaten their reputation at any time. Companies are increasingly feeling the pressure from regulators and market demands to improve their practices surrounding the collection, use, storage, and disposal of personal information (PI). Additionally, as new technologies like the Internet of Things (IoT) and Big Data generate enormous amounts of information and insights, the need for effective data protection will become even more pronounced. To tackle these pressing issues, the Infosys Enterprise Data Privacy Suite (iEDPS) provides organizations with tools to protect their sensitive data while ensuring adherence to various global regulatory standards, such as HIPAA, PIPEDA, GLBA, and ITAR. Businesses must adapt their data strategies to navigate the evolving landscape of data privacy, as doing so is essential to maintaining competitiveness and fostering trust with both consumers and regulatory entities. In this climate of heightened awareness and scrutiny, adopting a proactive approach to data protection is not just advisable; it is imperative for long-term success.

What is HushHush Data Masking?

Contemporary businesses face significant consequences if they neglect to adhere to the increasing privacy regulations mandated by both authorities and the public. To maintain a competitive edge, companies must consistently implement cutting-edge algorithms designed to protect sensitive data, including Personally Identifiable Information (PII) and Protected Health Information (PHI). HushHush is at the forefront of privacy protection with its innovative tool for discovering and anonymizing PII data, known for terms like data de-identification, data masking, and obfuscation software. This solution aids organizations in identifying, categorizing, and anonymizing sensitive information, ensuring they meet compliance requirements for regulations such as GDPR, CCPA, HIPAA/HITECH, and GLBA. It provides a collection of rule-based atomic add-on components that enable users to create effective and secure data anonymization strategies. HushHush's offerings are pre-configured to efficiently anonymize both direct identifiers, including Social Security Numbers and credit card details, as well as indirect identifiers, using a set of fixed algorithms specifically designed for this task. With its multifaceted capabilities, HushHush not only bolsters data security but also strengthens clients' confidence in their privacy. Moreover, this commitment to privacy protection is essential for building long-lasting relationships in an increasingly data-conscious world.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour 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

Infosys

Date Founded

1981

Company Location

India

Company Website

www.infosys.com/services/incubating-emerging-technologies/offerings/enterprise-data-privacy-suite.html

Company Facts

Organization Name

HushHush

Date Founded

2013

Company Location

United States

Company Website

mask-me.net

Categories and Features

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

HIPAA Compliance

Access Control / Permissions
Audit Management
Compliance Reporting
Data Security
Documentation Management
For Healthcare
Incident Management
Policy Training
Remediation Management
Risk Management
Vendor Management

Categories and Features

Compliance

Archiving & Retention
Artificial Intelligence (AI)
Audit Management
Compliance Tracking
Controls Testing
Environmental Compliance
FDA Compliance
HIPAA Compliance
ISO Compliance
Incident Management
OSHA Compliance
Risk Management
Sarbanes-Oxley Compliance
Surveys & Feedback
Version Control
Workflow / Process Automation

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

GDPR Compliance

Access Control
Consent Management
Data Mapping
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

HIPAA Compliance

Access Control / Permissions
Audit Management
Compliance Reporting
Data Security
Documentation Management
For Healthcare
Incident Management
Policy Training
Remediation Management
Risk Management
Vendor Management

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