How does DLP support incident response by helping identify and block data breaches in real time, and providing insights for investigation and remediation after an incident?
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DLP (Data Loss Prevention) solutions support incident response by continuously monitoring data flow within an organization’s network, endpoints, and cloud services. They can help identify and block potential data breaches in real-time by applying predefined rules or machine learning algorithms to detect sensitive data leaving the network.
When an incident occurs, DLP provides valuable insights for investigation and remediation by providing detailed logs and reports on data access and movement. These insights can help security teams understand the scope of the breach, identify affected systems and data, and track the exfiltration path taken by the malicious actor. By having a clear understanding of what data was compromised and how it was exfiltrated, organizations can take appropriate actions to contain the incident, mitigate further damage, and improve their security posture.