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Average Ratings 0 Ratings
Description
Minimize the possibility of a data breach and streamline essential security measures, allowing you to focus on expanding your business. Effectively pinpoint sensitive information across all your cloud applications and infrastructure, giving you a clear understanding of its location and who has access. Maintain precise control over sensitive data across numerous locations, blocking uploads to inappropriate destinations and automatically erasing data when it is no longer necessary. Automate compliance processes without increasing risk. Utilize Metomic's ready-made data classifiers or design your own with our no-code data classifier builder. Develop customized data-driven workflows from any application through our Webhooks or Query API. Metomic's robust architecture enables you to mitigate security risks without introducing new vulnerabilities. Take advantage of Metomic's pre-existing app integrations to gain insight into data movements from the outset. Delve into your security risk exposure and regulate what data is being handled and where, ensuring a comprehensive approach to data protection. This ultimately empowers you to safeguard your information while driving your business forward with confidence.
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
Dropbox
Microsoft OneDrive
Microsoft SharePoint
Amazon Web Services (AWS)
Atlassian Clover
Box
Datadog
GitHub
Gmail
Google Cloud Platform
Integrations
Dropbox
Microsoft OneDrive
Microsoft SharePoint
Amazon Web Services (AWS)
Atlassian Clover
Box
Datadog
GitHub
Gmail
Google Cloud Platform
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
Metomic
Founded
2018
Country
United Kingdom
Website
metomic.io
Vendor Details
Company Name
Fortra
Country
United States
Website
www.titus.com/products/titus-illuminate-data-protection
Product Features
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
GDPR Compliance
Access Control
Consent Management
Data Mapping
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification
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