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Description
Protective.ai assists startups and developers in enhancing their data security while simultaneously increasing user trust and adoption rates. The integration of third-party applications with your preferred platforms has become simpler than ever. Nevertheless, this convenience often results in your customer data, emails, documents, and internal communications being handled by multiple companies, each with differing levels of data security and privacy policies. We leverage artificial intelligence to evaluate the cloud security, privacy terms, and social signals of over 10,000 business applications and integrations to assess their data protection effectiveness. Our scoring system helps users identify which applications prioritize data safety and which ones require improvements in their security and privacy practices. By revealing the genuine risks associated with cloud vulnerabilities and lenient privacy policies, we go beyond merely relying on self-reported compliance from these apps. Furthermore, our PRO solution offers research and development, marketing, sales, and information security teams continuous oversight, notifications, and safeguards against potentially unsafe integrations, ensuring comprehensive protection for your data.
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
Bubble
Calendly
Gong
Google Chrome
HubSpot CRM
HubSpot Customer Platform
Intercom
Jira
Mailchimp
Microsoft Teams
Integrations
Bubble
Calendly
Gong
Google Chrome
HubSpot CRM
HubSpot Customer Platform
Intercom
Jira
Mailchimp
Microsoft Teams
Pricing Details
$38 per month
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
Protective.ai
Country
United States
Website
protective.ai/
Vendor Details
Company Name
QP Privacy
Country
Israel
Website
www.qprivacy.com
Product Features
Data Privacy Management
Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification
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