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Average Ratings 0 Ratings
Description
HealthVerity Consent is a cloud-based platform designed to assist organizations in overseeing and regulating consumer data-use permissions, ensuring adherence to privacy regulations across both internal infrastructures and external vendors. By providing a centralized approach to managing opt-in and opt-out preferences that are accumulated from various interconnected systems, it serves as the definitive reference for permissions. This solution not only notifies all consumer data source systems, whether they are within the organization or part of partner networks, about any modifications in consent permissions but also guarantees that all stakeholders remain informed with the most precise data available, simplifying compliance efforts. It effectively consolidates and reconciles individual consumer data permissions into one accessible location, facilitating a seamless integration of technology without disrupting current systems and workflows. Moreover, it enables the creation of a shareable and immutable record of consent permissions alongside consumer data requests, thereby enhancing transparency and accountability. Overall, HealthVerity Consent streamlines the management of consumer consent, making it easier for organizations to navigate the complexities of data privacy.
Description
The Veriti platform, powered by AI, actively oversees and effectively addresses security vulnerabilities throughout the entire security framework without interfering with business operations, starting from the operating system level and extending upwards. With full transparency, you have the ability to quickly eliminate threats before they materialize. Veriti integrates all configurations to create a foundational security baseline, and it then correlates various data sources such as telemetries, CAASM, BAS, vulnerability management solutions, security logs, and intelligence feeds to identify misconfigurations that could lead to exposures. This automated process allows for a non-intrusive evaluation of all security settings. You'll gain direct insight into your risk posture and all available remediation strategies, which include compensating controls, Indicators of Compromise (IoCs), and necessary patches. Consequently, your team can make well-informed security decisions. The most effective remediation occurs before vulnerabilities can be exploited. By utilizing advanced machine learning techniques, Veriti not only predicts the potential ripple effects of any remediation action but also evaluates the possible impacts, ensuring that your security measures are both proactive and strategic. As a result, your organization can maintain a robust security posture in an ever-evolving threat landscape.
API Access
Has API
API Access
Has API
Integrations
Akamai
Check Point Harmony Endpoint
Claroty
CloudGuard Network Security
Cloudflare
CrowdStrike Falcon
HCL BigFix
IBM QRadar EDR
Jira
Medigate
Integrations
Akamai
Check Point Harmony Endpoint
Claroty
CloudGuard Network Security
Cloudflare
CrowdStrike Falcon
HCL BigFix
IBM QRadar EDR
Jira
Medigate
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
HealthVerity
Founded
2015
Country
United States
Website
healthverity.com/solutions/healthverity-consent/
Vendor Details
Company Name
Veriti
Founded
2021
Country
Israel
Website
veriti.ai/
Product Features
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling