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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

Fasoo AI-R Privacy leverages AI and NLP to protect sensitive data by detecting and masking personal information in unstructured formats like text and images. Its deep learning technology is designed to understand contextual nuances, ensuring accurate data privacy protection. The platform is ideal for industries like healthcare, finance, and public services, where sensitive data handling is critical. By automating the detection and masking of PII, Fasoo AI-R Privacy reduces the risk of data breaches and ensures compliance with privacy regulations.

Description

Uncover your data, evaluate potential risks, and keep an eye on unusual access patterns to streamline protection, enhance transparency, and improve response times, all through a single platform. Focus on bolstering investments in data privacy and protection initiatives, including policies, processes, and programs. Assess the value across various domains by utilizing metadata from specific database sources to provide insights into risk visibility. Establish a comprehensive subject registry and automate identity mapping to effectively manage data subject access requests (DSARs). Deliver thorough summaries through APIs that connect with third-party solutions, implementing controls for data objects and beyond. Identify the locations of sensitive data as well as its movement to different data repositories and cloud applications. Address risks based on their priority, simulate potential threats to evaluate impacts for informed decision-making, and introduce relevant controls. Leverage an extensive selection of dashboard drill-downs for a comprehensive view of data risks and control deficiencies. Additionally, generate integrated reports on data subjects, automate risk mitigation efforts, and utilize visualizations and alerts to maintain a proactive stance in data management. This approach ensures a holistic strategy for safeguarding sensitive information while navigating the complexities of data protection.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Accenture Cloud Retail Execution No 
Amazon Web Services (AWS) No 
Deloitte Cascade Suite No 
Google Cloud Platform No 
Microsoft 365 No 
Secuvy AI No 
Snowflake No 

Integrations

Accenture Cloud Retail Execution Yes 
Amazon Web Services (AWS) Yes 
Deloitte Cascade Suite Yes 
Google Cloud Platform Yes 
Microsoft 365 Yes 
Secuvy AI Yes 
Snowflake Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Fasoo

Founded

2000

Country

South Korea

Website

en.fasoo.com

Vendor Details

Company Name

Informatica

Founded

1993

Country

United States

Website

www.informatica.com/products/data-security/data-privacy-management.html

Product Features

Data Privacy Management

Access Control No 
CCPA Compliance Yes 
Consent Management No 
Data Mapping No 
GDPR Compliance Yes 
Incident Management Yes 
PIA / DPIA No 
Policy Management Yes 
Risk Management Yes 
Sensitive Data Identification Yes 

Product Features

Data Privacy Management

Access Control No 
CCPA Compliance No 
Consent Management No 
Data Mapping No 
GDPR Compliance No 
Incident Management No 
PIA / DPIA No 
Policy Management No 
Risk Management No 
Sensitive Data Identification No 

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