Veriket Bilişim Güvenliği A.Ş. operates in data classification, labeling, discovery and protection in the field of cyber security. In this context, Veriket software is also included. It is a member of the Turkish Cyber Cluster and Veriket solution is preferred by important public/private institutions and organizations.

What is Veriket?

Veriket is a Turkish software company specializing in data classification and discovery solutions. It caters to organizations concerned with protecting sensitive data and ensuring compliance with data privacy regulations.

Veriket offers a native data classification and labeling solution for discovery, classification, labeling, visualization and monitoring of all sensitive, private and corporate data on your network. You can scan, analyze and identify data as it is created, in motion and at rest by defining and classifying appropriate identification attributes.

Veriket aligns your data with other solutions in your data security ecosystem with metadata applied to documents and emails. With systems such as Data Loss Prevention (DLP), Enterprise Rights Management (ERM), Cloud Access Security Tools (CASB) and Next-Generation Firewall Solutions, it makes it easy to implement appropriate data protection policies across your organization, enabling you to create a cohesive, integrated approach.

What are Veriket Classification and Protection Solutions?

Veriket is a Turkish software company specializing in data classification and discovery solutions. They cater to organizations concerned about protecting sensitive data and ensuring compliance with data privacy regulations.

Veriket’s Data Classification solution is a software program designed to automate the process of identifying, classifying, and labeling sensitive data within your organization. This helps organizations strengthen their data security posture and ensure compliance with data privacy regulations.

1. Data Scanning and Identification:

The software scans through various file formats across your network, including documents, emails, spreadsheets, and even archived files. It utilizes a combination of techniques to identify sensitive information:

  • Keyword Matching: You can create custom dictionaries with keywords or phrases that indicate sensitive data (e.g., Social Security numbers, credit card numbers, etc.).
  • Regular Expression Support: For more complex patterns, Veriket allows the use of regular expressions to pinpoint specific data formats or identifiers.
  • Content Analysis: The software can analyze the context of the data to identify sensitive information even if it’s not explicitly mentioned by keywords.

2. Data Classification:

Once datas identified, the solution classifies the data based on its sensitivity level. You can define your own classification scheme (e.g., Public, Confidential, Highly Confidential) to align with your organization’s specific needs.

This classification helps prioritize protection measures. For instance, highly confidential data might require stricter access controls and encryption compared to publicly accessible information.

3. Automated Data Labeling:

Veriket’s software can automate the process of assigning security tags to files based on their classification. This eliminates manual labeling, saving time and ensuring consistency across your data storage systems.

4. Integration with DLP Systems:

Veriket’s solution can integrate with existing Data Loss Prevention (DLP) products. This allows you to create and enforce security policies based on the data classification. For example, DLP can block sensitive data from being accidentally emailed or transferred outside the organization.

5. Discovery and Reporting:

Veriket offers discovery tools that help you locate sensitive data across your entire network, including file servers, cloud storage, and user machines. You can generate reports that provide insights into the types and locations of sensitive data within your organization. This information is crucial for understanding your data landscape and identifying potential security risks.

Use Cases

Use Cases

Banking and Finance