{"id":6661,"date":"2015-10-22T10:00:26","date_gmt":"2015-10-22T14:00:26","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=6661"},"modified":"2015-10-20T11:42:14","modified_gmt":"2015-10-20T15:42:14","slug":"continuous-evaluation-social-media-remain-sticking-points-for-insider-threat-policy","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/continuous-evaluation-social-media-remain-sticking-points-for-insider-threat-policy\/6661\/","title":{"rendered":"Continuous Evaluation, Social Media Remain Sticking Points for Insider Threat Policy"},"content":{"rendered":"Harnessing the power of predictive analytics will help agencies develop their insider threat initiatives from programs that react to an incident, to ones that prevent them. Programs within the intelligence community are more mature, while others like the Defense Department are knee-deep in implementing their programs. Many are still determining how certain data sets \u2014 like those collected from social media or continuous evaluation \u2014 will inform their insider threat plans. Others, though, have a longer way to go, said Patricia Larsen, co-director of the National Insider Threat Task Force. \u201cWe have some civilian agencies that don\u2019t view <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/continuous-evaluation-social-media-remain-sticking-points-for-insider-threat-policy\/6661\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Harnessing the power of predictive analytics will help agencies develop their insider threat initiatives from programs that react to an incident, to ones that prevent them. Programs within the intelligence community are more mature, while others like the Defense Department are knee-deep in implementing their programs. Many are still determining how certain data sets \u2014 [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[230,550,551,8],"class_list":["post-6661","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-data-analytics","tag-defense-defense","tag-intelligence-agency","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6661","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=6661"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6661\/revisions"}],"predecessor-version":[{"id":6662,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6661\/revisions\/6662"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=6661"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=6661"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=6661"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}