In today’s digital era, data is an organization’s most valuable asset. Whether it’s customer information, financial records, or internal communication, properly classifying this data is critical for security, compliance, and operational efficiency. Unfortunately, many businesses fall into common traps when implementing data classification strategies, leading to gaps in protection, compliance failures, and even data breaches. This blog explores the top 10 actionable steps to avoid common pitfalls in data classification , as outlined by Compass, a GRC platform by CyRAACS . Each step is essential for building a resilient, compliant, and secure data ecosystem. 1. Use Risk-Based, Consistent Categories One of the most overlooked mistakes in data classification is the use of vague or inconsistent categories. When categories aren’t clearly defined or aligned with organizational risk and compliance frameworks, confusion sets in, and data may be misclassified. ✅ What to do instead: Cr...
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