Data Discovery Scan is a process used to identify data assets within the environment of an organization. It helps in recording what data exists, where it's stored and how it can be of use.
In general Data Discovery Scan involves;
Red Team Assessment Services conducts simulation of real-world attacks to assess the company's security standards
Determining which specific security measures should be tested, including networks, systems, and data to be targeted.
Locates data from different storage locations, including databases, file systems, cloud storage, and applications. Gather metadata related to data, such as file types, creation dates, and access permissions.
Classifying data based on sensitivity such as personal data, financial data, etc, and compliance requirements.
Evaluates the data for potential security risks, vulnerability, etc. This process also includes evaluating the risks linked with each data, considering factors like exposure and regulator implications
Verifying that data handling practices meet with proper rules and standards. Also Make sure that data management policies are followed ensuring that data is protected according to its classification.
Map to depict how data moves within the company/organization, including sources, destinations, and interactions.
Proper report on data findings, classification, risk and compliance status. Remediation Planning:Guide the company/organization in addressing the detected vulnerabilities and improving security controls.
The process also includes conducting testing to make sure that the detected vulnerabilities have been solved.
Helps in implementing the changes to address detected issues. The process also includes creating a schedule to regulate data discovery scans which is to maintain an up to date inventory.
Evaluates the effectiveness of the data discovery process and makes adjustments as needed. Revise data management and security policies based on insights gained from the scan.
Data discovery scans offer identifying sensitive data and ensure compliance for its protection.
Provides a clear view of data, including their locations, types, and classifications.
Detects sensitive data and potential vulnerabilities, to secure it from unauthorized access and data reaches.
Making sure data handling practices align with regulations and security standards, improving the company security standard over all.
Supports better data management by organizing data into categories and mapping its flow, which helps in managing and protecting data more effectively.
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