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features
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support

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Description

Siberson Veriket Data Discovery is a robust solution for enterprises that enables the identification, localization, inventorying, and risk assessment of sensitive information across both structured and unstructured data environments. It performs thorough scans of various sources, including file servers, endpoints, databases, Microsoft 365, SharePoint, OneDrive, cloud storage, email systems, and additional corporate data repositories to ensure ongoing awareness of the locations of sensitive data. The integrated detection capabilities cover a wide range of data types, such as personal, financial, confidential, and regulated information, while also recognizing specific international and Turkish PII formats like TCKN and IBAN. By utilizing Veriket Data Discovery, organizations can empower their security, compliance, and data governance teams to mitigate the risks associated with dark data, enhance the effectiveness of data loss prevention (DLP) strategies, streamline audit processes, and align with regulations such as KVKK, GDPR, ISO 27001, and PCI DSS. This solution is flexible, offering both on-premises and SaaS deployment options, along with features like centralized management, automated scanning, comprehensive data mapping, risk scoring, and seamless enterprise integrations to enhance overall operational efficiency. Ultimately, Veriket Data Discovery serves as a vital tool for businesses striving to maintain rigorous data governance and compliance standards.

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 No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

Box No 
Dropbox No 
Microsoft OneDrive No 
Microsoft SharePoint No 

Integrations

Box Yes 
Dropbox Yes 
Microsoft OneDrive Yes 
Microsoft SharePoint Yes 

Pricing Details

per-terabyte/yearly
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
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 Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Siberson

Founded

2017

Country

Turkey

Website

www.siberson.com

Vendor Details

Company Name

Fortra

Country

United States

Website

www.titus.com/products/titus-illuminate-data-protection

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 Security

Alerts / Notifications No 
Antivirus/Malware Detection No 
At-Risk Analysis No 
Audits No 
Data Center Security No 
Data Classification No 
Data Discovery No 
Data Loss Prevention No 
Data Masking No 
Data-Centric Security No 
Database Security No 
Encryption No 
Identity / Access Management No 
Logging / Reporting No 
Mobile Data Security No 
Monitor Abnormalities No 
Policy Management No 
Secure Data Transport No 
Sensitive Data Compliance No 

Alternatives

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