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Organizations have common concerns about sensitive data discovery. They include, costs, accuracy, data privacy, scalability and integration with existing systems. As experts in this field we believe any solution must address each of these concerns effectively and efficiently. Accuracy One of the primary concerns with...
Regex Pro’s/Con’s Regex-based discovery looks at the sequence of characters that specifies a match pattern in the text. While regex-based discovery can be a powerful tool for pattern matching, it also faces several challenges. Complex Patterns Regex-based discovery can become increasingly complex and difficult to...
Discover a world of limitless possibilities with machine learning for sensitive data discovery. Say goodbye to the limitations of regex-based discovery, which relies on predefined patterns and hello to the adaptability and power of machine learning models. These models have the ability to learn and...
PCI-DSS, the Payment Card Industry Data Security Standard, was established on September 7, 2006. This standard safeguards individuals who share their credit card information with organizations such as banks and healthcare companies. Maintaining PCI-DSS compliance involves a comprehensive project with tasks like risk assessment, regular...
In today’s data landscape, whether data is stored on-premises or in the cloud, robust data privacy and cybersecurity standards are essential to safeguard sensitive information from malicious exploitation. To maintain these standards, various regulatory activities such as auditing, role-based policies (RBAC), and continuous monitoring are...
According to Tech Target, a cloud security audit is a periodic assessment of an organization’s ability to assess and document its vendor’s performance. An audit can be done internally or externally and should be done at least annually. What’s involved in a cloud security audit?...
Meeting compliance requirements is mandatory whether you’re storing data on-premise or in the cloud. If you’re in compliance with both, HIPAA, the Health Insurance Portability and Accountability Act of 1996, and CCPA, the California Consumer Protection Act, you’re most likely in compliance with the other...
In the realm of machine learning, bias has always been a constant concern. Algorithms, though designed to assist in making decisions faster and more accurately, are not immune to biases. But fear not, because, at C² Data, we have revolutionized the landscape with our bias-aware...
Ensuring Compliance with Data Privacy Regulations In today’s data-driven environment, protecting sensitive information is crucial. C² Data Technology provides solutions to the significant challenges businesses face in adhering to data privacy regulations. Our objective is to provide you with the necessary tools and expertise to...
