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Sensitive Data Scanner

Sensitive Data Scanner helps businesses meet security and compliance goals.

The Sensitive Data Scanner plays a crucial role in helping businesses maintain security and compliance by identifying and managing sensitive information across their IT environments.

Conducts automated scans of data repositories, including databases.
Automatically masks or anonymizes sensitive data.

Sensitive Data Scanner plays a crucial role in helping businesses maintain security

Build a scalable and holistic data security and compliance strategy

Building a scalable and holistic data security and compliance strategy is crucial for organizations to protect sensitive information, mitigate risks, and comply with regulatory requirements.

Identify Sensitive Data: Conduct a thorough inventory to identify all types of sensitive data your organization handles, such as personally identifiable information (PII), financial data, intellectual property, and confidential business information.

Data Classification: Implement a data classification scheme to categorize data based on its sensitivity and regulatory requirements. Use automated tools for efficient classification and tagging.

Risk Assessment: Perform regular risk assessments to identify threats and vulnerabilities to sensitive data. Evaluate the potential impact and likelihood of risks affecting data confidentiality, integrity, and availability.

Get a comprehensive understanding of sensitive data across cloud environments

Employ data discovery tools that scan cloud environments to identify and catalog sensitive data. These tools can analyze structured and unstructured data, including databases, files, and documents stored in cloud storage services.

Access Control: Implement granular access controls to restrict access to sensitive data based on roles, responsibilities, and least privilege principles. Use multi-factor authentication (MFA) for additional security.

Data Masking and Anonymization: Apply data masking or anonymization techniques to protect sensitive data in non-production environments or when sharing data for analytics or testing purposes.

Quickly detect sensitive data issues with dashboards and alerts

Use automated tools to scan your data repositories and cloud environments for sensitive information such as personally identifiable information (PII), financial data, health records, intellectual property, etc.

Dashboard Views: Create dashboards that provide real-time visibility into sensitive data usage, access patterns, and anomalies. Dashboards should present key metrics and trends related to data security and compliance.

Alerts: Configure alerts based on predefined thresholds or anomalies detected in data access patterns, unauthorized access attempts, or changes in sensitive data. Alerts should be actionable and routed to appropriate personnel for immediate response.