{"id":1641,"date":"2023-04-03T14:56:59","date_gmt":"2023-04-03T14:56:59","guid":{"rendered":"https:\/\/securitybriefing.net\/?p=1641"},"modified":"2023-04-03T14:56:59","modified_gmt":"2023-04-03T14:56:59","slug":"anvandning-av-artificiell-intelligens-for-anvandare-och-enhetsbeteendeanalys-ueba","status":"publish","type":"post","link":"https:\/\/securitybriefing.net\/sv\/ai\/anvandning-av-artificiell-intelligens-for-anvandare-och-enhetsbeteendeanalys-ueba\/","title":{"rendered":"Anv\u00e4ndning av artificiell intelligens f\u00f6r analys av anv\u00e4ndar- och entitetsbeteenden (UEBA)"},"content":{"rendered":"<p>Artificiell intelligens och cybers\u00e4kerhet \u00e4r tv\u00e5 termer som blir allt viktigare i dagens digitala tids\u00e5lder. Medan artificiell intelligens \u00e4r en simulering av m\u00e4nsklig intelligens i maskiner som kan l\u00e4ra sig, fatta beslut och l\u00f6sa problem, skyddar cybers\u00e4kerhet system och digital information mot obeh\u00f6rig \u00e5tkomst, st\u00f6ld och skada. Artificiell intelligens inom cybers\u00e4kerhet kan revolutionera hur f\u00f6retag skyddar sig mot cyberattacker.<\/p>\n\n\n\n<p>\u00c5r 2023 visar det att artificiell intelligens \u00e4r en teknik som kommer att forts\u00e4tta vara ostoppbar i sin utveckling, till\u00e4mpning, antagande och acceptans av alla professionella och sociala sektorer. Av denna anledning, och s\u00e5 att du \u00e4r medveten f\u00f6re n\u00e5gon annan om allt som kommer att v\u00e4nta oss om artificiell intelligens, till\u00e4mpad specifikt inom cybers\u00e4kerhet, f\u00f6rutser vi dess anv\u00e4ndning av beteendeanalys av anv\u00e4ndare och enheter som kommer att markera huvudlinjerna f\u00f6r denna teknik 2023 och de kommande \u00e5ren. L\u00e5t oss b\u00f6rja! Kommer du att missa dem?<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"applications-of-artificial-intelligence-in-cybersecurity\">Till\u00e4mpningar av artificiell intelligens inom cybers\u00e4kerhet<\/h2>\n\n\n<p>Den ineffektiva driften av maskiner forts\u00e4tter att orsaka betydande produktivitetsf\u00f6rluster f\u00f6r f\u00f6retag. N\u00e4r vi g\u00e5r in i 2023 och fram\u00e5t f\u00f6rblir cybers\u00e4kerhet en organisations h\u00f6gsta prioritet. Viktiga f\u00f6ruts\u00e4gelser att h\u00e5lla i \u00e5tanke inkluderar f\u00f6ljande:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>60% av organisationerna kommer att anta nolltillit-principen som en utg\u00e5ngspunkt f\u00f6r att s\u00e4kerst\u00e4lla s\u00e4kra milj\u00f6er.<\/li>\n\n\n\n<li>&nbsp;F\u00f6r 60% av organisationerna kommer cybers\u00e4kerhetsrisk att vara en avg\u00f6rande faktor vid genomf\u00f6randet av transaktioner med tredje part.<\/li>\n\n\n\n<li>&nbsp;30% av l\u00e4nderna kommer att anta lagstiftning som reglerar betalningar, b\u00f6ter och f\u00f6rhandlingar f\u00f6r ransomware-attacker.<\/li>\n<\/ul>\n\n\n\n<p>I detta sammanhang finns det en m\u00f6jlighet att utnyttja artificiell intelligens (AI) f\u00f6r att bek\u00e4mpa cyberbrottslingar. Implementering av AI inom cybers\u00e4kerhet kan revolutionera hur f\u00f6retag skyddar sig mot cyberhot. AI kan anv\u00e4ndas f\u00f6r att uppt\u00e4cka och f\u00f6rhindra cyberattacker i realtid, samt analysera stora m\u00e4ngder data f\u00f6r att identifiera m\u00f6nster som leder till potentiella hot. N\u00e5gra s\u00e4tt AI kan till\u00e4mpas inom cybers\u00e4kerhet inkluderar f\u00f6ljande:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Hotdetektering<\/strong>: Artificiell intelligens kan uppt\u00e4cka cyberhot genom att analysera stora m\u00e4ngder data och identifiera potentiellt farliga m\u00f6nster. Detta g\u00f6r det m\u00f6jligt f\u00f6r f\u00f6retag att reagera snabbare och mer effektivt p\u00e5 hot.<\/li>\n\n\n\n<li>&nbsp;<strong>Malware-detektering<\/strong>: Artificiell intelligens kan anv\u00e4ndas f\u00f6r att uppt\u00e4cka malware genom att analysera koden och identifiera m\u00f6nster som indikerar skadligt beteende. Detta g\u00f6r det m\u00f6jligt f\u00f6r f\u00f6retag att uppt\u00e4cka och f\u00f6rhindra malware innan det kan orsaka skada.<\/li>\n\n\n\n<li>&nbsp;<strong>Phishing-detektering<\/strong>: Artificiell intelligens kan uppt\u00e4cka phishing-attacker genom att analysera inneh\u00e5llet i e-postmeddelanden och identifiera m\u00f6nster som indikerar phishing. Detta g\u00f6r det m\u00f6jligt f\u00f6r f\u00f6retag att uppt\u00e4cka och f\u00f6rhindra phishing-attacker innan de kan orsaka skada.<\/li>\n\n\n\n<li>&nbsp;<strong>N\u00e4tverkss\u00e4kerhet<\/strong>: Artificiell intelligens kan \u00f6vervaka n\u00e4tverkstrafik och identifiera m\u00f6nster som indikerar ett potentiellt hot. Detta g\u00f6r det m\u00f6jligt f\u00f6r f\u00f6retag att uppt\u00e4cka och f\u00f6rhindra cyberattacker innan de kan orsaka skada.<\/li>\n<\/ul>\n\n\n<h2 class=\"wp-block-heading\" id=\"advantages-of-using-artificial-intelligence-in-cybersecurity-for-companies\"><strong>F\u00f6rdelar med att anv\u00e4nda artificiell intelligens inom cybers\u00e4kerhet f\u00f6r f\u00f6retag<\/strong><\/h2>\n\n\n<p>Anv\u00e4ndningen av artificiell intelligens inom cybers\u00e4kerhet erbjuder m\u00e5nga f\u00f6rdelar f\u00f6r de f\u00f6retag som n\u00e4mns nedan:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>F\u00f6rb\u00e4ttrad s\u00e4kerhet<\/strong>: Artificiell intelligens kan uppt\u00e4cka och f\u00f6rhindra cyberhot i realtid, vilket f\u00f6rb\u00e4ttrar f\u00f6retagens \u00f6vergripande s\u00e4kerhet.<\/li>\n\n\n\n<li>&nbsp;<strong>\u00d6kad effektivitet<\/strong>: Artificiell intelligens kan analysera stora m\u00e4ngder data mycket snabbare \u00e4n en m\u00e4nniska, vilket \u00f6kar effektiviteten i s\u00e4kerhetsoperationer.<\/li>\n\n\n\n<li>&nbsp;<strong>Kostnadsbesparingar<\/strong>: Artificiell intelligens automatiserar uppt\u00e4ckten och f\u00f6rhindrandet av cyberhot, vilket g\u00f6r att f\u00f6retag kan kr\u00e4va mindre arbetskraft och spara p\u00e5 kostnader.<\/li>\n\n\n\n<li>&nbsp;<strong>B\u00e4ttre beslutsfattande<\/strong>: Artificiell intelligens kan anv\u00e4ndas f\u00f6r att analysera data och ge slutsatser som kan hj\u00e4lpa f\u00f6retag att fatta b\u00e4ttre s\u00e4kerhetsbeslut.<\/li>\n\n\n\n<li>&nbsp;<strong>B\u00e4ttre svarstid<\/strong>: Artificiell intelligens kan uppt\u00e4cka och agera p\u00e5 cyberhot i realtid, vilket hj\u00e4lper f\u00f6retag att reagera.<\/li>\n<\/ul>\n\n\n\n<p>Sammanfattningsvis \u00e4r artificiell intelligens och maskininl\u00e4rning tv\u00e5 koncept som har en betydande inverkan p\u00e5 omr\u00e5det cybers\u00e4kerhet. Genom att automatisera m\u00e5nga uppgifter som traditionellt utf\u00f6rts manuellt sparar AI tid och minskar risken f\u00f6r m\u00e4nskliga fel. Dessutom kan AI bearbeta stora m\u00e4ngder data mycket snabbare \u00e4n m\u00e4nniskor, vilket underl\u00e4ttar identifiering och f\u00f6rebyggande av storskaliga cyberhot. F\u00f6retag som investerar i cybers\u00e4kerhet och AI kommer att vara b\u00e4ttre rustade f\u00f6r att skydda sina digitala tillg\u00e5ngar och beh\u00e5lla en konkurrensf\u00f6rdel i den st\u00e4ndigt f\u00f6r\u00e4nderliga teknologilandskapet.<\/p>\n\n\n\n<p>Artificiell intelligens f\u00f6rs\u00f6ker alltid att inf\u00f6rliva innovativa metoder, till\u00e4mpa maskininl\u00e4rningsalgoritmer och mallar p\u00e5 v\u00e5ra cybers\u00e4kerhetsl\u00f6sningar och produkter f\u00f6r att erbjuda det mest avancerade och flexibla skyddet.<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"understanding-user-and-entity-behavior-analytics-ueba\">F\u00f6rst\u00e5 anv\u00e4ndar- och enhetsbeteendeanalys (UEBA)<\/h2>\n\n\n<p>L\u00f6sningar f\u00f6r anv\u00e4ndar- och enhetsbeteendeanalys (UEBA) m\u00f6jligg\u00f6r modellering av anv\u00e4ndarbeteende och deras enheter medan de surfar eller anv\u00e4nder en applikation. UEBA inneb\u00e4r \u00f6vervakning, insamling och utv\u00e4rdering av data och aktiviteter hos anv\u00e4ndare som interagerar med ett system, vilket kan vara informativt, transaktionellt eller processbaserat.<\/p>\n\n\n\n<p>UEBA-teknologier utnyttjar artificiell intelligens och maskininl\u00e4rning f\u00f6r att analysera historiska dataregister, inklusive text, siffror, r\u00f6st, ljud och video, f\u00f6r att identifiera m\u00f6nster och mata system som underl\u00e4ttar beslutsfattande i individuell klassificering, social \u00e5terintegrering, fysisk s\u00e4kerhet, logisk s\u00e4kerhet och cybers\u00e4kerhet. Baserat p\u00e5 deras analys kan dessa system vidta \u00e5tg\u00e4rder eller \u00e5tg\u00e4rder och automatiskt anpassa sig f\u00f6r att fatta \u201cintelligenta automatiserade beslut.\u201d<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"advanced-capabilities-and-applications-of-ueba-tools\">Avancerade funktioner och till\u00e4mpningar av UEBA-verktyg<\/h2>\n\n\n<p>Verktyg f\u00f6r anv\u00e4ndarbeteendeanalys har mer avancerade undantags- och profil\u00f6vervakningsfunktioner \u00e4n traditionella datorsystem. De anv\u00e4nds f\u00f6r att etablera en baslinje f\u00f6r normala aktiviteter specifika f\u00f6r organisationen och dess anv\u00e4ndare och identifiera avvikelser fr\u00e5n den normen. UEBA anv\u00e4nder big data-algoritmer och maskininl\u00e4rning f\u00f6r att bed\u00f6ma dessa avvikelser i n\u00e4ra realtid, vilket g\u00f6r det m\u00f6jligt f\u00f6r organisationer att g\u00f6ra klassificeringar, beslut, uppt\u00e4cka dolda m\u00f6nster och avsl\u00f6ja risksituationer eller andra potentiella s\u00e4kerhetshot.<\/p>\n\n\n\n<p>UEBA samlar in olika datatyper som anv\u00e4ndarroller och titlar, \u00e5tkomst, konton, beh\u00f6righeter, anv\u00e4ndaraktivitet, geografisk plats och s\u00e4kerhetsvarningar. Data kan samlas in fr\u00e5n tidigare och nuvarande aktiviteter, med analysen som tar h\u00e4nsyn till faktorer som resurser som anv\u00e4nds, sessionens l\u00e4ngd, anslutning och aktivitet i j\u00e4mf\u00f6rbara grupper f\u00f6r att j\u00e4mf\u00f6ra avvikande beteenden. Det uppdateras ocks\u00e5 automatiskt n\u00e4r data \u00e4ndras, till exempel n\u00e4r beh\u00f6righeter l\u00e4ggs till.<\/p>\n\n\n\n<p>UEBA-system rapporterar inte alla avvikelser som riskfyllda utan bed\u00f6mer den potentiella p\u00e5verkan av beteendet. L\u00e5ga p\u00e5verkningspo\u00e4ng tilldelas mindre k\u00e4nsliga resurser, medan h\u00f6gre p\u00e5verkningspo\u00e4ng ges till mer k\u00e4nsliga data, s\u00e5som personligt identifierbar information. Detta tillv\u00e4gag\u00e5ngss\u00e4tt g\u00f6r det m\u00f6jligt f\u00f6r s\u00e4kerhetsteam att prioritera vilka sp\u00e5r som ska f\u00f6ljas. Samtidigt begr\u00e4nsar UEBA-systemet automatiskt eller \u00f6kar autentiseringssv\u00e5righeten f\u00f6r anv\u00e4ndare som uppvisar onormalt beteende.<\/p>\n\n\n\n<p>Maskininl\u00e4rningsalgoritmer g\u00f6r det m\u00f6jligt f\u00f6r UEBA-system att minska falska positiva resultat, vilket ger tydligare och mer exakt handlingsbar riskinformation f\u00f6r cybers\u00e4kerhetsteam.<\/p>\n\n\n\n<p><strong>Sammanfattningsvis<\/strong><\/p>\n\n\n\n<p>Under de senaste \u00e5ren har anv\u00e4ndningen av tekniker som kallas anv\u00e4ndar- och enhetsbeteendeanalys (UEBA) f\u00f6r att analysera anv\u00e4ndares och enheters beteende spridit sig. Dessa tekniker har m\u00e5nga till\u00e4mpningar som alltid har n\u00e5got gemensamt: att registrera anv\u00e4ndarbeteende i det f\u00f6rflutna, modellera detta beteende i nuet och f\u00f6ruts\u00e4ga hur det kommer att vara.<\/p>\n\n\n\n<p>Ett UEBA-system samlar in data om anv\u00e4ndar- och enhetsaktiviteter fr\u00e5n systemloggar. Det till\u00e4mpar avancerade analytiska metoder f\u00f6r att analysera data och etablerar en baslinje f\u00f6r anv\u00e4ndarbeteendem\u00f6nster. UEBA \u00f6vervakar kontinuerligt enhetsbeteende och j\u00e4mf\u00f6r det med baslinjebeteendet f\u00f6r samma enhet eller liknande enheter f\u00f6r att uppt\u00e4cka onormalt beteende.<\/p>\n\n\n\n<p>Baslinjering \u00e4r nyckeln till ett UEBA-system, eftersom det g\u00f6r det m\u00f6jligt att uppt\u00e4cka potentiella hot. UEBA-systemet j\u00e4mf\u00f6r den etablerade baslinjen med aktuellt anv\u00e4ndarbeteende, ber\u00e4knar en riskpo\u00e4ng och avg\u00f6r om avvikelser \u00e4r acceptabla. Systemet varnar s\u00e4kerhetsanalytiker om riskpo\u00e4ngen \u00f6verstiger en viss tr\u00f6skel.<\/p>","protected":false},"excerpt":{"rendered":"<p>Artificiell intelligens och cybers\u00e4kerhet \u00e4r tv\u00e5 termer som blir allt viktigare i dagens digitala tids\u00e5lder. Medan artificiell intelligens \u00e4r en simulering av m\u00e4nsklig intelligens i maskiner som kan l\u00e4ra sig, fatta beslut och ... <a class=\"more-link\" href=\"https:\/\/securitybriefing.net\/sv\/ai\/anvandning-av-artificiell-intelligens-for-anvandare-och-enhetsbeteendeanalys-ueba\/\">Continue reading <span class=\"screen-reader-text\">Anv\u00e4ndning av artificiell intelligens f\u00f6r analys av anv\u00e4ndar- och entitetsbeteenden (UEBA)<\/span><\/a><\/p>","protected":false},"author":1,"featured_media":1645,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[],"class_list":["post-1641","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","entry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Harnessing AI for User and Entity Behavior Analytics 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