<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Several weeks ago , Check Point Mobile Threat Prevention detected and quarantined the Android device of an unsuspecting customer employee who downloaded and installed a 0day mobile ransomware from Google Play dubbed “ Charger. ” This incident demonstrates how malware can be a dangerous threat to your business , and how advanced behavioral detection fills mobile security gaps attackers use to penetrate entire networks .' [/INST] [Several:O, weeks:O, ago:O, ,:O, Check:B-Organization, Point:I-Organization, Mobile:O, Threat:O, Prevention:O, detected:O, and:O, quarantined:O, the:O, Android:B-System, device:O, of:O, an:O, unsuspecting:O, customer:O, employee:O, who:O, downloaded:O, and:O, installed:O, a:O, 0day:O, mobile:O, ransomware:O, from:O, Google:B-System, Play:I-System, dubbed:O, “:O, Charger.:B-Malware, ”:O, This:O, incident:O, demonstrates:O, how:O, malware:O, can:O, be:O, a:O, dangerous:O, threat:O, to:O, your:O, business:O, ,:O, and:O, how:O, advanced:O, behavioral:O, detection:O, fills:O, mobile:O, security:O, gaps:O, attackers:O, use:O, to:O, penetrate:O, entire:O, networks:O, .:O] </s>