Since 1991 CLICO has been operating on the market as the largest specialized distributor with added value!
We successfully introduce and promote unique solutions of global market leaders in Poland and other Central and Eastern European countries.
FORCEPOINT DLPenables organizations to protect sensitive data and intellectual property, and achieve compliance with regulations such as GDPR. Protection is provided by identifying, monitoring and enforcing policies for data in transit, in use and at rest, both at the level of the network and user workstations. In this way, data are protected anytime and anywhere, also outside the organization’s network. The system precisely identifies protected data using built-in classifiers for popular data types such as PESEL, NIP, REGON or bank account and credit card numbers, and can learn specific data using digital fingerprints and machine learning mechanisms. In addition to content, the DLP system also takes into account the data context. With these features, organizations can protect data, secure important business processes, and reduce the number of false alerts generated by the system. Moreover, the work of administrators is supported by the Incident Risk Ranking mechanism which enables them to deal with the most important incidents first. The system also offers sophisticated data protection functions such as analysis of text in transmitted graphic files — OCR for data in transit and detection of incidents distributed over time, e.g. leakage of one record after another from the database — Drip DLP.https://clico.lv/vendors/forcepoint/dlp/forcepoint-dlphttps://clico.lv/logo.png
FORCEPOINT DLP
enables organizations to protect sensitive data and intellectual property, and achieve compliance with regulations such as GDPR. Protection is provided by identifying, monitoring and enforcing policies for data in transit, in use and at rest, both at the level of the network and user workstations. In this way, data are protected anytime and anywhere, also outside the organization’s network. The system precisely identifies protected data using built-in classifiers for popular data types such as PESEL, NIP, REGON or bank account and credit card numbers, and can learn specific data using digital fingerprints and machine learning mechanisms. In addition to content, the DLP system also takes into account the data context. With these features, organizations can protect data, secure important business processes, and reduce the number of false alerts generated by the system. Moreover, the work of administrators is supported by the Incident Risk Ranking mechanism which enables them to deal with the most important incidents first. The system also offers sophisticated data protection functions such as analysis of text in transmitted graphic files — OCR for data in transit and detection of incidents distributed over time, e.g. leakage of one record after another from the database — Drip DLP.
enables organizations to protect sensitive data and intellectual property, and achieve compliance with regulations such as GDPR. Protection is provided by identifying, monitoring and enforcing policies for data in transit, in use and at rest, both at the level of the network and user workstations. In this way, data are protected anytime and anywhere, also outside the organization’s network. The system precisely identifies protected data using built-in classifiers for popular data types such as PESEL, NIP, REGON or bank account and credit card numbers, and can learn specific data using digital fingerprints and machine learning mechanisms. In addition to content, the DLP system also takes into account the data context. With these features, organizations can protect data, secure important business processes, and reduce the number of false alerts generated by the system. Moreover, the work of administrators is supported by the Incident Risk Ranking mechanism which enables them to deal with the most important incidents first. The system also offers sophisticated data protection functions such as analysis of text in transmitted graphic files — OCR for data in transit and detection of incidents distributed over time, e.g. leakage of one record after another from the database — Drip DLP.
