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Description
Our platform for data discovery and scanning operates without the need for agents, making it simple to integrate with any cloud accounts, including AWS, Azure, and GCP. You won't have to handle any deployments or management tasks. We are compatible with all native cloud data repositories, whether structured or unstructured, across these three major cloud providers. Normalyze efficiently scans both types of data within your cloud environments, collecting only metadata to enhance the Normalyze graph, ensuring that no sensitive information is gathered during the process. The platform visualizes access and trust relationships in real-time, offering detailed context that encompasses fine-grained process names, data store fingerprints, and IAM roles and policies. It enables you to swiftly identify all data stores that may contain sensitive information, uncover every access path, and evaluate potential breach paths according to factors like sensitivity, volume, and permissions, highlighting vulnerabilities that could lead to data breaches. Furthermore, the platform allows for the categorization and identification of sensitive data according to industry standards, including PCI, HIPAA, and GDPR, providing comprehensive compliance support. This holistic approach not only enhances data security but also empowers organizations to maintain regulatory compliance efficiently.
Description
Safyr® significantly minimizes the time, expenses, and resources associated with discovering ERP metadata, achieving an impressive reduction of up to 90%. Before effectively utilizing metadata from prominent ERP and CRM solutions like SAP, Salesforce, Oracle, and Microsoft, users face three key obstacles that must be surmounted. Failing to address these challenges swiftly can lead to delays, increased costs, failures in delivery, and in severe situations, the cancellation of projects altogether. Once the necessary metadata is pinpointed for your initiative, it becomes crucial to leverage it for setting up additional environments, which may include data cataloging, governance platforms, enterprise metadata management, data warehouses, ETL processes, or data modeling tools. The primary goal of developing Safyr® was to empower users to significantly accelerate the value they derive from their projects, which incorporate data from major ERP and CRM systems, by providing efficient and cost-effective solutions to these challenges. By streamlining the metadata discovery process, Safyr® ensures that organizations can focus more on their core objectives rather than getting bogged down by technical issues.
API Access
Has API
API Access
Has API
Integrations
AWS Lambda
AffiliateWP
Amazon EC2
Amazon S3
Collibra
Data360 DQ+
Google Cloud Platform
HubSpot CRM
IDERA Precise for Databases
Microsoft Dynamics 365 Business Central
Integrations
AWS Lambda
AffiliateWP
Amazon EC2
Amazon S3
Collibra
Data360 DQ+
Google Cloud Platform
HubSpot CRM
IDERA Precise for Databases
Microsoft Dynamics 365 Business Central
Pricing Details
$14,995 per year
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
Normalyze
Country
United States
Website
normalyze.ai/platform/
Vendor Details
Company Name
Silwood
Founded
1992
Country
United Kingdom
Website
www.silwoodtechnology.com/safyr/
Product 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
Product Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics