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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
Enhancing patient care can be achieved through the secure and confidential sharing of data among healthcare professionals, ensuring the protection of privacy. Additionally, it is important to facilitate secure financial data analysis to effectively manage risks and detect fraud, while keeping client information encrypted and safeguarded. In the evolving landscape of digital marketing, creating targeted advertising and campaign insights without compromising user privacy can be accomplished through encrypted data analysis, especially in a post-cookie world. Furthermore, fostering data collaboration between various agencies is crucial, allowing them to work together efficiently without disclosing sensitive information to each other, thus bolstering both efficiency and data security. Moreover, developing applications for user authentication that maintain individuals' anonymity is essential in preserving privacy. Lastly, empowering governments to digitize their services independently of cloud providers can enhance operational trust and security. This approach ensures that the integrity of sensitive information is upheld across all sectors involved.
API Access
Has API
API Access
Has API
Integrations
Python
Pricing Details
No price information available.
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
QP Privacy
Country
Israel
Website
www.qprivacy.com
Vendor Details
Company Name
Zama
Founded
2020
Country
France
Website
www.zama.ai
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
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization