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
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
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