Automated Data Discovery and Classification

Leverage AI-driven tools to locate and categorize sensitive data (e.g., PII, PHI, PCI) across your network, ensuring no critical information goes unnoticed.

Policy-Driven Data Tagging

Apply metadata tags to classify data by sensitivity (e.g., Public, Internal, Confidential), streamlining compliance and security enforcement.

DLP for Data at Rest

Monitor and encrypt sensitive data stored on servers, endpoints, and cloud platforms to prevent unauthorized access.

DLP for Data in Transit

Analyze network traffic to block unencrypted sensitive data transfers, ensuring secure communication across your infrastructure.

DLP for Data in Use

Assigns permissions based on job roles instead of individuals. Simplifies access management, reduces human error, and enforces least-privilege principles.

Compliance Mapping and Reporting

Align data classification with GDPR, HIPAA, PCI DSS, and SOC 2 requirements, providing audit-ready reports for regulators.

Insider Threat Protection

Combine data classification with behavioral analytics to identify and mitigate risks from negligent or malicious insiders.

Endpoint DLP Security

Prevent sensitive data from being downloaded to unauthorized devices or endpoints, securing your network’s edge.

Cloud Data Protection

Safeguard sensitive data in cloud environments like AWS, Azure, and GCP with classification and DLP policies tailored to cloud architectures.

Custom DLP Policy Development

Craft bespoke DLP policies using classification tags to block or allow data transfers based on your organization’s unique needs.