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Description

As organizations increasingly integrate advanced technology and development methodologies, the growing volume and distribution of data present a remarkably complex challenge for data security. Lacking robust data protection strategies heightens the risk of data leaks, breaches, unauthorized access to confidential information, and heavy fines for failing to comply with data privacy laws. IBM Guardium Data Security Center offers a solution through its Guardium DSPM, which effectively discovers, classifies, and monitors sensitive data in cloud environments and SaaS applications, tackling several critical issues. It allows for the swift, precise, and continuous identification of sensitive data throughout your cloud infrastructure. By employing a cutting-edge AI-driven engine, our solution streamlines the process of discovering and classifying sensitive information, thereby conserving your valuable resources and time. Additionally, the agentless deployment of DSPM ensures immediate discovery initiation, eliminating the need for prior knowledge about data locations or access credentials, thereby simplifying the data protection process. Ultimately, this innovation empowers organizations to enhance their data security posture significantly.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

IBM Guardium Yes 

Integrations

IBM Guardium No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

per-terabyte/yearly
Free Trial No 
Free Version 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 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
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) Yes 
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 Yes 

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/guardium-dspm

Vendor Details

Company Name

Siberson

Founded

2017

Country

Turkey

Website

www.siberson.com

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 

Alternatives

Alternatives

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