

Create a Sensitive Data Landscape
C2 Data Privacy Platform provides a comprehensive approach to data discovery looking for sensitive data from across your environment and create a single dashboard from which to review sensitive data risk, take data security steps, and continuously monitor newly discovered sensitive data. Our AI model uses contextual inference and semantic analysis to quickly and more accurately discover sensitive data.
Risk Assessment Across Data Sources
After data is discovered, a comprehensive risk assessment strategically categorizes risk levels. Organizations can prioritize critical data for targeted remediation. This systematic approach enables swift identification and mitigation of potential security threats, effectively reducing overall data vulnerability.
Automation to Proactively Mitigate Risk
The C2 Data Privacy Platform automates data discoveries to proactively identify potential security risks. By continuously monitoring the data landscape, the platform enables early detection of vulnerable information across environments. As a result, organizations can swiftly recognize and mitigate threats before they can cause significant damage. This automated approach transforms data security from reactive to strategically proactive.
Creating a New Data Discovery Experience
Simplification of
Data Discovery
Save time and simplify the sensitive data discovery process. Identify sensitive data in minutes, not days, weeks, or longer.
Quickly Secure at
Risk Data
Close down open risk quickly through leveraging AI-driven technology.
Trusted Results
Gain peace of mind that sensitive data is discovered, properly remediated, and remains in compliance.
Accelerate Your Data Privacy Journey
Discover sensitive data across environments using AI-driven technology and remove error-prone manual processes.
Protect sensitive data using sophisticated encryption, call masking, or data synthesis solutions with one platform.
Gain a unified view of data sources across AWS regions for enhanced data security and streamlined cost controls.