Data Loss

Data loss refers to the unintentional or accidental loss of data due to various reasons such as hardware or software failure, human error, cyber-attacks, natural disasters, or system crashes. Data loss can have severe consequences for businesses, including financial loss, legal liabilities, and damage to reputation. To prevent data loss, organizations implement various measures such as data backup, disaster recovery plans, and data redundancy. Data loss prevention (DLP) is a set of tools and processes used to prevent data loss by monitoring, detecting, and blocking sensitive data from leaving the organization's network. DLP solutions use machine learning algorithms and artificial intelligence to identify and classify sensitive data and prevent it from being leaked or stolen.
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