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Stay informed on data exfiltration threats. Protect sensitive information with the latest news and expert insights on prevention and response strategies.

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Data exfiltration is the covert or unauthorized transfer of sensitive information from an organization’s internal systems to an external destination controlled by an attacker. This technique often targets intellectual property, personal data, or credentials and can be executed via malware, compromised insiders, or misconfigured cloud services. Attackers may use encrypted channels, steganography, or legitimate protocols to evade detection.

Effective defense focuses on limiting data access through strict permissions, monitoring network traffic for unusual outbound flows, and deploying data loss prevention (DLP) tools that identify and block suspicious transfers. Endpoint detection and response (EDR) solutions can detect anomalous processes attempting exfiltration. Understanding typical data flows and establishing baseline behavior is crucial to spotting deviations that indicate exfiltration attempts.

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For years, security leaders have treated artificial intelligence as an “emerging” technology, something to keep an eye on but not yet mission-critical. A new Enterprise AI and SaaS Data Security Report by AI & Browser Security company LayerX proves just how outdated that mindset has become. Far from a future concern, AI is already the single largest uncontrolled channel for corporate data