Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
As enterprise data explodes and is scattered across multiple systems, the oversight of privacy, data security and governance has become a very difficult task. Businesses are exposed to significant risks, including data breaches, privacy suits, and penalties. It takes months to find data privacy risks within an organization. A team of data engineers is involved in the effort. Data breaches and privacy legislation are forcing companies to better understand who has access to data and how it is used. Enterprise data is complex. Even if a team works for months to isolate data privacy risks, they may not be able to quickly find ways to reduce them.
Description
Data serves as an essential asset for businesses today. By leveraging the right AI models, organizations can effectively construct and analyze customer profiles, identify emerging trends, and uncover new avenues for growth. However, developing precise and reliable AI models necessitates vast amounts of data, presenting challenges related to both the quality and quantity of the information collected. Furthermore, strict regulations such as GDPR impose limitations on the use of certain sensitive data, including customer information. This calls for a fresh perspective, particularly in software testing environments where obtaining high-quality test data proves difficult. Often, real customer data is utilized, which raises concerns about potential GDPR violations and the risk of incurring substantial fines. While it's anticipated that Artificial Intelligence (AI) could enhance business productivity by a minimum of 40%, many organizations face significant hurdles in implementing or fully harnessing AI capabilities due to these data-related obstacles. To address these issues, ADA employs cutting-edge deep learning techniques to generate synthetic data, providing a viable solution for organizations seeking to navigate the complexities of data utilization. This innovative approach not only mitigates compliance risks but also paves the way for more effective AI deployment.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Redshift
Yes
Amazon S3
Yes
Databricks
Yes
Google Cloud BigQuery
Yes
Microsoft Azure
Yes
Salesforce
Yes
Snowflake
Yes
Integrations
Amazon Redshift
No
Amazon S3
No
Databricks
No
Google Cloud BigQuery
No
Microsoft Azure
No
Salesforce
No
Snowflake
No
Pricing Details
Usage based
charged per API call
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
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
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Protecto
Founded
2021
Country
United States
Website
www.protecto.ai/
Vendor Details
Company Name
Sogeti
Country
France
Website
www.sogeti.com/services/artificial-intelligence/artificial-data-amplifier/
Product Features
Data Discovery
Contextual Search
Yes
Data Classification
Yes
Data Matching
No
False Positives Reduction
Yes
Self Service Data Preparation
No
Sensitive Data Identification
Yes
Visual Analytics
No
Data Security
Alerts / Notifications
No
Antivirus/Malware Detection
No
At-Risk Analysis
No
Audits
Yes
Data Center Security
No
Data Classification
Yes
Data Discovery
Yes
Data Loss Prevention
Yes
Data Masking
Yes
Data-Centric Security
Yes
Database Security
No
Encryption
Yes
Identity / Access Management
Yes
Logging / Reporting
Yes
Mobile Data Security
No
Monitor Abnormalities
No
Policy Management
Yes
Secure Data Transport
No
Sensitive Data Compliance
Yes