Our Data Security Features
1. Cloud Data Loss Prevention
Data Visibility in the Cloud: Monitor and protect sensitive data stored in cloud environments, ensuring that it is not exposed to unauthorized users.
Automated Policy Enforcement: Apply consistent data protection policies across all cloud platforms, preventing accidental or malicious data leakage.
2. Data Security Posture Management (DSPM)
Continuous Risk Assessment: Monitor and assess your data security posture across all environments to identify and mitigate potential risks.
Automated Compliance Checks: Ensure your data security practices align with industry regulations and standards, with real-time alerts for non-compliance.
3. Data Loss Prevention (DLP)
Comprehensive Data Protection: Identify, monitor, and secure sensitive data across your entire network, including endpoints, emails, and storage systems.
Policy-Based Controls: Enforce data security policies to prevent unauthorized data sharing and ensure compliance with regulatory requirements.
4. Data Integrity Monitoring
Real-Time Monitoring: Track changes to critical data and maintain its integrity through continuous monitoring and alerts.
Audit Trails: Generate detailed records of data access and modifications for compliance and forensic purposes.
5. Identity and Access Management (IAM)
Role-Based Access Control (RBAC): Ensure that only authorized personnel have access to sensitive data, minimizing the risk of internal threats.
Multi-Factor Authentication (MFA): Add an extra layer of security by requiring multiple forms of verification for access to critical data.
6. Data Protection
Encryption and Key Management: Secure your data at rest and in transit with strong encryption practices and centralized key management.
Data Masking: Protect sensitive data by masking it in non-production environments, reducing the risk of exposure during development and testing.
7. Secure Data Backup and Recovery
Automated Backups: Regularly back up your data to secure locations, ensuring that it can be quickly recovered in case of data loss or corruption.
Disaster Recovery Solutions: Implement robust disaster recovery plans to maintain business continuity during unexpected events.
8. Insider Threat Management
Behavioral Analysis: Monitor user behavior to detect and prevent insider threats, such as unauthorized data access or misuse.
Anomaly Detection: Identify unusual patterns of activity that may indicate potential security breaches from within the organization.
9. Data Classification and Labeling
Sensitive Data Identification: Automatically classify and label data based on its sensitivity level, ensuring appropriate security measures are applied.
Regulatory Compliance: Facilitate compliance with data protection regulations by accurately identifying and managing sensitive data.