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Description
Klassify requires users to explicitly label the sensitivity of information by using classification tags and protective markings on documents and emails. As users engage with this information, visual classification labels serve as reminders for appropriate handling in accordance with their organization's data security protocols. This flexible data classification platform empowers organizations to identify, categorize, and secure their critical data, ensuring that end users are actively involved in its proper management. Klassify aids in locating and recognizing sensitive information within legacy data across various systems, including endpoints, servers, storage solutions, databases, and cloud services, facilitating responsible data management moving forward. Furthermore, Klassify streamlines the process of adhering to regulatory standards such as PCI, GDPR, HIPAA, and DPA. Enhanced metadata and contextual insights provide organizations with the tools needed for better governance and efficiency, particularly with unstructured data, ultimately fostering a culture of data awareness and protection. Through its user-centric approach, Klassify not only promotes compliance but also enhances the overall security posture of an organization.
Description
The NVISIONx data risk intelligence platform provides organizations with the ability to take charge of their enterprise data, thereby minimizing risks associated with data, compliance requirements, and storage expenses. The exponential growth of data is becoming increasingly unmanageable, leading to heightened challenges for business and security leaders who struggle to secure information they cannot effectively identify. Simply adding more controls will not resolve the underlying issues. With extensive and unlimited analytical capabilities, the platform supports over 150 specific business use cases, equipping data owners and cybersecurity professionals to proactively oversee their data throughout its entire lifecycle. Initially, it is essential to identify and categorize data that is redundant, outdated, or trivial (ROT), which allows companies to determine what can be safely eliminated, thereby streamlining classification efforts and cutting down on storage costs. Subsequently, all remaining data can be contextually classified through a variety of user-friendly data analytics methods, empowering data owners to assume the role of their own analysts. Finally, any data deemed unnecessary or undesirable can undergo thorough legal evaluations and records retention assessments, ensuring that organizations maintain compliance and optimize their data management strategies.
API Access
Has API
API Access
Has API
Integrations
ADP DataCloud
Active Directory
Amazon S3
Apple Mail
Box
Confluence
Dropbox
Elastic Cloud
GitHub
Google Cloud BigQuery
Integrations
ADP DataCloud
Active Directory
Amazon S3
Apple Mail
Box
Confluence
Dropbox
Elastic Cloud
GitHub
Google Cloud BigQuery
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
Klassify
Country
India
Website
www.klassify.io
Vendor Details
Company Name
NVISIONx
Country
United States
Website
www.nvisionx.ai/
Product Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Product Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge