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What is Confidential?

It caters to the requirements for data compliance and protects against data loss for both enterprises and individual users, focusing on files that are spread across multiple hard drives. It functions effortlessly across local drives, shared drives, and various cloud storage solutions. With the launch of Confidential 1.2.31, we've incorporated regular expression-based searches alongside content searches from Confidential 1.2, enabling users to instruct Confidential to "scan my disks and automatically label any data that resembles a credit card number, email address, invoice number, names from a predetermined list, or any other specified pattern defined by a regular expression." This feature can greatly support organizations in achieving GDPR compliance for unstructured data; after purging customer information from your databases, this tool will facilitate the identification of any remaining traces of customer data within all files located on your local and shared drives, rendering it an essential tool for effective data management. Moreover, the improved search capabilities ensure that no sensitive information is overlooked, thereby strengthening your organization’s dedication to maintaining data privacy and security while also enhancing operational efficiency.

What is Siberson Veriket Data Discovery?

Siberson Veriket Data Discovery offers a powerful solution tailored for organizations, facilitating the identification, localization, inventorying, and risk evaluation of sensitive information in both structured and unstructured data settings. It conducts detailed scans across a variety of sources, such as file servers, endpoints, databases, Microsoft 365, SharePoint, OneDrive, cloud storage, email systems, and other corporate data repositories, ensuring that the locations of sensitive data remain continuously monitored. The system's integrated detection capabilities encompass a diverse array of data types, including personal, financial, confidential, and regulated information, while also identifying specific international and Turkish PII formats such as TCKN and IBAN. By implementing Veriket Data Discovery, organizations can strengthen their security, compliance, and data governance efforts to effectively address the risks associated with dark data, improve their data loss prevention (DLP) strategies, simplify audit procedures, and comply with regulations like KVKK, GDPR, ISO 27001, and PCI DSS. This adaptable solution provides both on-premises and SaaS deployment options, featuring centralized management, automated scanning, thorough data mapping, risk scoring, and seamless integration with existing enterprise systems to boost operational efficiency. In summary, Veriket Data Discovery is an essential asset for companies aiming to uphold stringent data governance and compliance standards while navigating an increasingly complex data landscape.

Media

Media

No images available

Integrations Supported

Azure Marketplace

Integrations Supported

Azure Marketplace

API Availability

Has API

API Availability

Has API

Pricing Information

$40.00/year/user
Free Version
Free Trial Offered?

Pricing Information

per-terabyte/yearly
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tag Forge

Date Founded

2009

Company Location

Denmark

Company Website

www.confidential.tech/

Company Facts

Organization Name

Siberson

Date Founded

2017

Company Location

Turkey

Company Website

www.siberson.com

Categories and Features

GDPR Compliance

Access Control
Consent Management
Data Mapping
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

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