Protection des données numériques

Data Protection

Protection des données

The last few years have seen a remarkable change in the IT security policy and digital asset protection strategy of companies.

From now on, regardless of their size, all companies have become vulnerable to the unintentional mistakes of their employees. Internal errors made by certain unaware, untrained employees can constitute a threat as dangerous as an external malicious attack. The impact is immediate: a risk of damage to the company's brand image, exposure of confidential data and other valuable information to fierce competition. Translated with www.DeepL.com/Translator (free version)

Acting or rather preventing is better than reacting. Hence the need to be aware of this growing threat and the need to act quickly with adequate measures to defend and protect oneself.

The term DLP (Data Loss Prevention) refers to the set of techniques that allow to identify information, control it and then protect it against any loss or leakage, based on in-depth content analysis, regardless of the status of the information stored, in motion or being processed. The objective is always to limit the leakage of critical data committed in an intentional or accidental way.

The last few years have seen a remarkable change in the IT security policy and digital asset protection strategy of companies.

From now on, regardless of their size, all companies have become vulnerable to the unintentional mistakes of their employees. Internal errors made by certain unaware, untrained employees can constitute a threat as dangerous as an external malicious attack. The impact is immediate: a risk of damage to the company's brand image, exposure of confidential data and other valuable information to fierce competition. Translated with www.DeepL.com/Translator (free version)

Acting or rather preventing is better than reacting. Hence the need to be aware of this growing threat and the need to act quickly with adequate measures to defend and protect oneself.

The term DLP (Data Loss Prevention) refers to the set of techniques that allow to identify information, control it and then protect it against any loss or leakage, based on in-depth content analysis, regardless of the status of the information stored, in motion or being processed. The objective is always to limit the leakage of critical data committed in an intentional or accidental way.

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