Average Ratings 0 Ratings
Average Ratings 0 Ratings
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 Initially, it is essential to identify and categorize data that is redundant, outdated, or trivial (ROT), which allows companies to determine what can be safely eliminated, thereby streamlining classification efforts and cutting down on storage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
No
API Access
Has API
No
Integrations
Active Directory
No
Amazon S3
No
Amazon Web Services (AWS)
No
Apple Mail
No
Bitbucket
No
Confluence
No
Docusign
No
GitHub
No
Gmail
No
Google Cloud BigQuery
No
Integrations
Active Directory
Yes
Amazon S3
Yes
Amazon Web Services (AWS)
Yes
Apple Mail
Yes
Bitbucket
Yes
Confluence
Yes
Docusign
Yes
GitHub
Yes
Gmail
Yes
Google Cloud BigQuery
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
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
No
Data Classification
No
Data Matching
No
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
No
Visual Analytics
No
Product Features
Data Discovery
Contextual Search
No
Data Classification
No
Data Matching
No
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
No
Visual Analytics
No
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No