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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

Protecting client privacy is paramount for any organization. Companies must uphold corporate integrity while effectively scaling their digital strategies. In today's regulatory environment, breaches, regardless of their source, leave organizations fully accountable for any leakage of private client data. When businesses incorporate third-party services and open-source scripts into their web and mobile platforms, they inadvertently send client device data to external servers. With QP’s innovative solutions, enterprises can effectively manage and monitor the outflow of data to these third parties. The adaptive AI technology offered by QP creates a safeguard around client-facing applications, ensuring data security and client privacy while allowing for comprehensive data analysis and marketing capabilities. The dilemma facing enterprises is clear: should they pursue growth at the risk of compromising security and privacy, or should they prioritize safety and limit their expansion? The use of third-party and open-source tools is crucial for driving enterprise growth, yet these tools also pose a significant threat by opening pathways that potentially expose sensitive client information to their own servers, making it increasingly difficult for companies to maintain oversight or control over their data. Furthermore, as businesses navigate this landscape, establishing robust protective measures becomes essential to balance innovation with the need for stringent data privacy.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

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 No 
Live Rep (24/7) No 
Online Support No 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Protecto

Founded

2021

Country

United States

Website

www.protecto.ai/

Vendor Details

Company Name

QP Privacy

Country

Israel

Website

www.qprivacy.com

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 

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Alternatives

Alternatives