This Imperva playbook outlines the top 10 indicators of data abuse, focusing on insider threats—malicious, careless, or compromised users. It highlights signs like excessive file access, unusual logins, suspicious SaaS exports, and abuse of service accounts. Real-world case studies show how these behaviors lead to data breaches. Imperva CounterBreach uses machine learning and deception technologies to detect abnormal data access patterns across databases, file shares, and cloud apps. The solution helps security teams identify threats early and reduce false positives to protect enterprise data.

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