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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
API Access
Has API
Integrations
Amazon Redshift
Amazon S3
Databricks
Google Cloud BigQuery
Microsoft Azure
Salesforce
Snowflake
Integrations
Amazon Redshift
Amazon S3
Databricks
Google Cloud BigQuery
Microsoft Azure
Salesforce
Snowflake
Pricing Details
Usage based
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
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
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge