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What is Normalyze?

Our data discovery and scanning platform functions seamlessly without the requirement for agents, which streamlines integration with various cloud accounts, such as AWS, Azure, and GCP. You won't need to worry about any deployment or management activities. We are fully compatible with all native cloud data repositories, whether they are structured or unstructured, across these leading cloud service providers. Normalyze effectively scans both types of data in your cloud settings, collecting only metadata to enrich the Normalyze graph, ensuring that no sensitive information is captured in the process. The platform provides real-time visualizations of access and trust relationships, offering in-depth context that includes detailed process names, data store fingerprints, along with IAM roles and policies. This capability allows you to quickly pinpoint all data stores that potentially harbor sensitive information, discover every access route, and assess possible breach paths based on criteria such as sensitivity, volume, and permissions, thereby exposing vulnerabilities that could lead to data breaches. Additionally, the platform facilitates the classification and identification of sensitive data in accordance with industry regulations like PCI, HIPAA, and GDPR, ensuring robust compliance support. This comprehensive strategy not only fortifies data security but also empowers organizations to manage regulatory compliance with greater efficiency, ultimately fostering a more secure data environment. By utilizing our platform, organizations can proactively address vulnerabilities and enhance their overall data governance framework.

What is FedEHR?

By redefining the traditional data value chain, we provide solutions that prioritize risk awareness when it comes to de-identifying sensitive data, facilitating its further processing. Whether you opt for on-premises management to maintain total control or choose a secure external service, FedEHR stands as your comprehensive solution that adheres to GDPR and HIPAA standards. As technological advancements progress, the characteristics of our data evolve, with a remarkable increase in IoT devices producing extensive amounts of information, reflecting our deeply interconnected and pervasive society. This evolution brings forth critical questions regarding the concept of our "quantified self." Yet, what are the broader implications and potential hazards associated with data sharing? Who has the right to access this data, and for what ends? What is the actual value of data, and who claims ownership over it? Although this wealth of personal and sensitive information offers remarkable opportunities for individual insight, it also creates substantial challenges for societies aiming to establish effective governance frameworks that can manage this data responsibly. As we confront these intricate challenges, the necessity for transparency and accountability in data management becomes increasingly vital, highlighting the need for ongoing conversations about ethical data practices.

Media

Media

Integrations Supported

AWS CloudTrail
AWS Lambda
Amazon EC2
Amazon S3
Amazon Web Services (AWS)
Apache Cassandra
Elasticsearch
Google Cloud Platform
Hadoop
HubSpot CRM
HubSpot Customer Platform
Jira
Microsoft Azure
MongoDB
PostgreSQL
Slack
Snowflake
Tableau

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

$14,995 per year
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Normalyze

Company Location

United States

Company Website

normalyze.ai/platform/

Company Facts

Organization Name

GNUBILA

Company Location

France

Company Website

gnubila.fr/

Categories and Features

Categories and Features

Data Security

Not specified

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