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Description
The Data Security Center (DSC) enables you to easily pinpoint, mask, and safeguard sensitive information across both structured and unstructured datasets. It categorizes risks as high, medium, or low in various stages of data handling, including collection, transmission, storage, sharing, utilization, and deletion. This allows for effective identification of risks, empowering you to take swift actions to bolster data security. Utilizing expert knowledge and Natural Language Processing (NLP), DSC accurately identifies sources of sensitive data. It offers comprehensive protection for structured and unstructured data from diverse origins, such as Object Storage Services, databases, and extensive data sources. With the help of predefined and customizable masking algorithms, DSC minimizes the risk of exposure to sensitive data, thus averting unauthorized access. Additionally, DSC facilitates the discovery, classification, and protection of sensitive data throughout every stage of data lifecycle management, ensuring a robust security framework is maintained. By implementing these measures, DSC not only enhances data protection but also reinforces compliance with data privacy regulations.
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.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Huawei Cloud
VirtualBox
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
per-terabyte/yearly
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
Huawei Cloud
Founded
1987
Country
China
Website
www.huaweicloud.com/intl/en-us/product/dsc.html
Vendor Details
Company Name
Siberson
Founded
2017
Country
Turkey
Website
www.siberson.com
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
Product Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics