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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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Security teams often present MTTR as an internal KPI. Leadership sees it differently: every hour a threat dwells inside the environment is an hour of potential data exfiltration, service disruption, regulatory exposure, and brand damage.  The root cause of slow MTTR is almost never "not enough analysts." It is almost always the same structural problem: threat intelligence that exists

Threat actors have been observed exploiting a recently disclosed critical security flaw impacting BeyondTrust Remote Support (RS) and Privileged Remote Access (PRA) products to conduct a wide range of malicious actions, including deploying VShell and  The vulnerability, tracked as CVE-2026-1731 (CVSS score: 9.9), allows attackers to execute operating system commands in the context of the

Cybersecurity researchers have disclosed details of a new attack method dubbed Reprompt that could allow bad actors to exfiltrate sensitive data from artificial intelligence (AI) chatbots like Microsoft Copilot in a single click, while bypassing enterprise security controls entirely

Over 30 security vulnerabilities have been disclosed in various artificial intelligence (AI)-powered Integrated Development Environments (IDEs) that combine prompt injection primitives with legitimate features to achieve data exfiltration and remote code execution

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

Whether it’s CRMs, project management tools, payment processors, or lead management tools - your workforce is using SaaS applications by the pound. Organizations often rely on traditional CASB solutions for protecting against malicious access and data exfiltration, but these fall short for protecting against shadow SaaS, data damage, and more

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