Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Roseman Labs allows you to encrypt and link multiple data sets, while protecting the privacy and commercial sensitivity. This allows you combine data sets from multiple parties, analyze them and get the insights that you need to optimize processes. Unlock the potential of your data. Roseman Labs puts the power of encryption at your fingertips with Python's simplicity. Encrypting sensitive information allows you to analyze the data while protecting privacy, commercial sensitivity and adhering GDPR regulations. With enhanced GDPR compliance, you can generate insights from sensitive commercial or personal information. Secure data privacy using the latest encryption. Roseman Labs lets you link data sets from different parties. By analyzing the combined information, you can discover which records are present in multiple data sets. This allows for new patterns to emerge.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Python
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
QP Privacy
Country
Israel
Website
www.qprivacy.com
Vendor Details
Company Name
Roseman Labs
Founded
2020
Country
Netherlands
Website
rosemanlabs.com/en/product
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
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
Data Security
Alerts / Notifications
No
Antivirus/Malware Detection
No
At-Risk Analysis
No
Audits
No
Data Center Security
No
Data Classification
No
Data Discovery
No
Data Loss Prevention
No
Data Masking
No
Data-Centric Security
No
Database Security
No
Encryption
No
Identity / Access Management
No
Logging / Reporting
No
Mobile Data Security
No
Monitor Abnormalities
No
Policy Management
No
Secure Data Transport
No
Sensitive Data Compliance
No
Encryption
Central Policy Enforcement
No
Drag & Drop UI
No
Email Encryption
No
Encryption Key Management
No
Endpoint Encryption
No
File Compression
No
File Encryption
No
Full Disk Encryption
No
Public Key Cryptography
No
Tokenization / Data Masking
No