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Description
We leverage Artificial Intelligence to streamline the classification of unstructured data efficiently. Our platform offers a comprehensive overview of document sensitivity across different sectors of your organization. With user-friendly visualizations, you can easily pinpoint which departments manage the most sensitive data and observe the distribution percentages. This enables you to make well-informed decisions to protect your most critical assets. Harness AI to categorize and label millions of documents effectively. The dashboard provides real-time analytics and statistics, ensuring you stay updated. Our advanced classification technology allows you to accurately determine who accesses sensitive documents, where this access occurs, and how it is managed within your organization. Utilizing our intuitive web platform, you can uncover patterns in user behavior and identify the areas with the greatest access to sensitive information. This unprecedented level of control over your data security is at your fingertips. Furthermore, our solution is fully adaptable to your business terminology and continuously improves its classification accuracy through self-learning processes. This ensures that your organization remains agile and responsive to evolving data security needs.
Description
Your clients understand the significance of security, yet they frequently do not grasp the critical nature of the issue until they encounter a real-life example. N-able™ Risk Intelligence transforms this abstract concern into a tangible reality by quantifying the vulnerabilities in your data, which aids you in constructing a compelling argument for data protection while prioritizing the most urgent issues that need to be addressed. By ensuring that access to sensitive information is restricted to authorized personnel only, you can protect against potential breaches. It is essential to shield sensitive personal information from cyber threats and to review reports detailing the possible financial repercussions associated with compromised data. Identifying vulnerabilities within your systems is crucial for maintaining integrity. Additionally, securing credit card information is vital for achieving PCI DSS compliance. When sensitive data remains unprotected, it creates a significant liability for your customers, leading businesses to accumulate vast amounts of sensitive personally identifiable information (PII) such as social security numbers, driver's license information, and credit card details across various storage solutions. Therefore, understanding and addressing these security risks is not just prudent but essential for maintaining customer trust and safeguarding your organization's reputation.
API Access
Has API
API Access
Has API
Integrations
Blancco Drive Eraser
Endpoint Protector
Forcepoint Data Classification
GTB Technologies DLP
Google Cloud Platform
Google Drive
McAfee Total Protection
Microsoft Excel
Microsoft Office 2021
Microsoft OneDrive
Integrations
Blancco Drive Eraser
Endpoint Protector
Forcepoint Data Classification
GTB Technologies DLP
Google Cloud Platform
Google Drive
McAfee Total Protection
Microsoft Excel
Microsoft Office 2021
Microsoft OneDrive
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
Kriptos
Country
United States
Website
www.kriptos.io
Vendor Details
Company Name
N-able
Founded
2000
Country
United States
Website
www.solarwindsmsp.com/products/risk-intelligence
Product Features
Qualitative Data Analysis
Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis