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Data Loss Prevention (DLP)

What is SIEM software? How it works and how to choose the right tool

Evolving beyond its log-management roots, today's security information and event management (SIEM) software vendors are introducing machine learning, advanced statistical analysis and other analytic methods to their products.


For each organization, data is one of the most important assets. So protection of this type is a must priority. Although some companies take security measurements, data leakage happens. When sensitive data are exposed by unauthorized user data leakage occurs. This type of loss may impact a serious threat to a company. Leakage of confidential and sensitive data can severely impact a company's reputation and create trust issues between customers and organizations.

Case study

The damage that data loss causes are boundless. It can strike at any time, resulting in a bad impact of destructive outcomes. One recent case study is given that highlights the impacts of data loss. The ridesharing giant, Uber admitted that a "data security incident" in 2016 resulted in unauthorized access to the personal information of some 57 million UBER customers and drivers worldwide. Uber did not report the attack immediately and instead, they tried to pay the cyber-attacker USD 100,000 to agree to non-disclosure and delete the relevant data. The ICO and the Dutch DPA have recently imposed Uber fines of approximately USD 1.17 million in total due to its failure to safeguard personal data and Uber agreed to pay USD 148 million for its failure to 600,000 affected drivers of the breach.

USD 150 million in fines is certainly not imperceptible but in the context of Uber should serve as a r Read more

Problem statement

Data loss is a serious problem for businesses of all types of organizations.  Almost 93% of companies facing data loss every day. Data loss can occur due to any natural or man-made disaster in a company. It can wipe out all data concerning the company's customer base. If the necessary backups are not available, then the effects can be truly catastrophic. The cost of a data loss depends on the value of the data and the length of time. It e Read more


For ensuring the safety of sensitive or critical information we follow a strategy called Data loss prevention (DLP). For imposing DLP we can follow these tips:

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The role of DLP technology is to identify, monitor and protect data in storage that can’t be described in a word. DLP systems are used to enforce policies to prevent unauthorized access or usage of confidential data. DLP can help to prevent accidental revelation or theft by employees having access to sensitive data. It also enables monitoring of the location and usage of data according to the laid out DLP policies. It can automatically encrypt confidential data to prevent data loss. Moreover, it can help prevent lawsuits, loss of reputation, loss of credibility, loss of revenue.

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