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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 DB CyberTech?

Centralized databases containing structured data, particularly sensitive personal information, are lucrative targets for cybercriminals. The repercussions of a successful hack can be severe, as seen in various incidents where attackers remained undetected for long stretches before extracting critical data. To prevent real-time data breaches, organizations should prioritize the proactive identification of potential threats and establish immediate alert systems to mitigate data loss before it happens. Additionally, maintaining awareness of possible insider threats is crucial for protecting data integrity. By refining current policy frameworks for unstructured data, organizations can enact continuous monitoring that specifically addresses the needs of structured data systems. This all-encompassing approach not only enhances security measures but also cultivates a proactive culture focused on recognizing and responding to new threats. Consequently, organizations that adopt these strategies can significantly reduce their vulnerability to data breaches.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

$14,995 per year
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Normalyze

Company Location

United States

Company Website

normalyze.ai/platform/

Company Facts

Organization Name

DB CyberTech

Date Founded

2012

Company Location

United States

Company Website

dbcybertech.com/products/security

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

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

Categories and Features

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