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Description
Acquire profound and comprehensive understanding of your unstructured enterprise data to assess risks, lessen threats and vulnerabilities, and facilitate improved business decisions. Systematically classify, label, and arrange unstructured data on an enterprise-wide level. Foster swift, precise, and thorough identification of sensitive and high-risk files while providing in-depth insights through artificial intelligence. Ensure ongoing visibility into both newly generated and pre-existing unstructured data. Implement policy, compliance, and governance measures without the need for user manual input. Reveal hidden data while systematically classifying and organizing sensitive content and other data categories at scale, allowing for informed decisions regarding data migration strategies. Moreover, the platform supports both basic and complex file transfers across nearly any cloud service, network file system, or legacy ECM platform, all at a large scale, enhancing operational efficiency and data management. This holistic approach empowers organizations to not only manage their data effectively but also harness it for strategic advantage.
Description
The volume of data is rapidly increasing, with estimates indicating that more than 25 petabytes were generated daily in 2019, and nearly all of it is stored somewhere. A significant portion of this information is kept on file shares, network drives, and cloud platforms "just in case," with over 70 percent lacking any real business relevance. Data that is considered redundant, obsolete, or trivial (ROT) could expose organizations to legal risks or compliance issues. While data is often described as a valuable asset for companies, it can simultaneously pose substantial risks if not managed properly. To address these challenges, a robust data-at-rest strategy is essential to distinguish between valuable assets and potential liabilities, while also assisting organizations in identifying what data they possess, who can access it, and the methods to secure it. Illuminate performs comprehensive scans of various storage locations, including on-premise shares, Box, Dropbox, OneDrive, and Microsoft SharePoint and SharePoint Online, ensuring organizations have a clear understanding of their data landscape. This proactive approach not only helps mitigate risks but also enhances overall data governance frameworks.
API Access
Has API
API Access
Has API
Integrations
Box
Dropbox
Microsoft OneDrive
Microsoft SharePoint
Google Workspace
Microsoft 365
Microsoft Azure
Microsoft Teams
Integrations
Box
Dropbox
Microsoft OneDrive
Microsoft SharePoint
Google Workspace
Microsoft 365
Microsoft Azure
Microsoft Teams
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
DryvIQ
Founded
2011
Country
United States
Website
dryviq.com
Vendor Details
Company Name
Fortra
Country
United States
Website
www.titus.com/products/titus-illuminate-data-protection
Product Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
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
