Regex-based discovery, while useful for simple pattern matching, faces significant challenges in modern data security:
- Limited Expressiveness: Struggles with complex patterns and context-aware data structures.
- Data Variability: Difficulty in creating patterns that capture all data variations accurately.
- False Positives: Rigid matching often leads to irrelevant or incorrect identifications.
- Maintenance Burden: Requires constant manual updates, time-consuming for large datasets.
- Performance Issues: Can be computationally expensive, especially for large-scale data analysis.
- Lack of Context: Unable to understand broader data context, leading to potential inaccuracies.
- Limited File Support: Only effective for text-based files, missing data in images or non-searchable PDFs.
These limitations highlight why regex-based discovery alone is insufficient for comprehensive data security in today’s complex digital environments.
How C² Data Privacy Platform Can Help
The C² Data Privacy Platform empowers organizations to discover, secure, and manage sensitive data seamlessly across cloud and hybrid environments. Leveraging advanced AI and deep learning, it automates data discovery, classification, and risk assessment, reducing manual errors and improving efficiency. With built-in encryption and integration for masking and other security tools, the platform ensures adherence to regulations like HIPAA, GDPR, CCPA, SOX, PCI DSS, and GLBA. Its user-friendly interface provides actionable insights into exposure risks, enabling proactive data protection. By streamlining data security processes, C² helps customers mitigate breaches, maintain compliance, and build trust in an increasingly complex digital landscape.
