{"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":"brug-af-kunstig-intelligens-til-bruger-og-enhedsadfaerdsanalyse-ueba","status":"publish","type":"post","link":"https:\/\/securitybriefing.net\/da\/kunstig-intelligens\/brug-af-kunstig-intelligens-til-bruger-og-enhedsadfaerdsanalyse-ueba\/","title":{"rendered":"Brug af kunstig intelligens til analyse af bruger- og enhedsadf\u00e6rd (UEBA)"},"content":{"rendered":"<p>Kunstig intelligens og cybersikkerhed er to termer, der vinder betydning i dagens digitale tidsalder. Mens kunstig intelligens er en simulation af menneskelig intelligens i maskiner, der er i stand til at l\u00e6re, tr\u00e6ffe beslutninger og l\u00f8se problemer, beskytter cybersikkerhed systemer og digital information mod uautoriseret adgang, tyveri og skade. Kunstig intelligens i cybersikkerhed kan revolutionere, hvordan virksomheder beskytter sig mod cyberangreb.<\/p>\n\n\n\n<p>I 2023 viser det, at kunstig intelligens er en teknologi, der vil forts\u00e6tte med at v\u00e6re ustoppelig i sin udvikling, anvendelse, adoption og accept af alle professionelle og sociale sektorer. Af denne grund, og s\u00e5 du er opm\u00e6rksom f\u00f8r nogen anden p\u00e5 alt, hvad der vil vente os om kunstig intelligens, anvendt specifikt i cybersikkerhed, forudser vi dens brug af adf\u00e6rdsanalyse af brugere og enheder, der vil markere hovedlinjerne for denne teknologi i 2023 og de kommende \u00e5r. Lad os begynde! Vil du g\u00e5 glip af dem?<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"applications-of-artificial-intelligence-in-cybersecurity\">Anvendelser af kunstig intelligens i cybersikkerhed<\/h2>\n\n\n<p>Den ineffektive drift af maskineri forts\u00e6tter med at for\u00e5rsage betydelige produktivitetstab for virksomheder. N\u00e5r vi bev\u00e6ger os ind i 2023 og fremad, forbliver cybersikkerhed en topprioritet for organisationer. N\u00f8gleforudsigelser at huske inkluderer f\u00f8lgende:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>60% af organisationerne vil vedtage nul-tillidsprincippet som udgangspunkt for at sikre sikre milj\u00f8er.<\/li>\n\n\n\n<li>&nbsp;For 60% af organisationerne vil cybersikkerhedsrisiko v\u00e6re en afg\u00f8rende faktor i gennemf\u00f8relsen af transaktioner med tredjeparter.<\/li>\n\n\n\n<li>&nbsp;30% af landene vil vedtage lovgivning, der regulerer betalinger, b\u00f8der og forhandlinger for ransomware-angreb.<\/li>\n<\/ul>\n\n\n\n<p>I denne sammenh\u00e6ng er der en mulighed for at udnytte kunstig intelligens (AI) til at bek\u00e6mpe cyberkriminelle. Implementering af AI i cybersikkerhed kan revolutionere, hvordan virksomheder beskytter sig mod cybertrusler. AI kan bruges til at opdage og forhindre cyberangreb i realtid samt analysere store m\u00e6ngder data for at identificere m\u00f8nstre, der f\u00f8rer til potentielle trusler. Nogle m\u00e5der, AI kan anvendes inden for cybersikkerhed, inkluderer f\u00f8lgende:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Trusselsdetektion<\/strong>: Kunstig intelligens kan opdage cybertrusler ved at analysere store m\u00e6ngder data og identificere potentielt farlige m\u00f8nstre. Dette g\u00f8r det muligt for virksomheder at reagere hurtigere og mere effektivt p\u00e5 trusler.<\/li>\n\n\n\n<li>&nbsp;<strong>Malware-detektion<\/strong>: Kunstig intelligens kan bruges til at opdage malware ved at analysere koden og identificere m\u00f8nstre, der indikerer skadelig adf\u00e6rd. Dette g\u00f8r det muligt for virksomheder at opdage og forhindre malware, f\u00f8r det kan for\u00e5rsage skade.<\/li>\n\n\n\n<li>&nbsp;<strong>Phishing-detektion<\/strong>: Kunstig intelligens kan opdage phishing-angreb ved at analysere indholdet af e-mails og identificere m\u00f8nstre, der indikerer phishing. Dette g\u00f8r det muligt for virksomheder at opdage og forhindre phishing-angreb, f\u00f8r de kan for\u00e5rsage skade.<\/li>\n\n\n\n<li>&nbsp;<strong>Netv\u00e6rkssikkerhed<\/strong>: Kunstig intelligens kan overv\u00e5ge netv\u00e6rkstrafik og identificere m\u00f8nstre, der indikerer en potentiel trussel. Dette g\u00f8r det muligt for virksomheder at opdage og forhindre cyberangreb, f\u00f8r de kan for\u00e5rsage skade.<\/li>\n<\/ul>\n\n\n<h2 class=\"wp-block-heading\" id=\"advantages-of-using-artificial-intelligence-in-cybersecurity-for-companies\"><strong>Fordele ved at bruge kunstig intelligens i cybersikkerhed for virksomheder<\/strong><\/h2>\n\n\n<p>Brug af kunstig intelligens inden for cybersikkerhed tilbyder mange fordele for de virksomheder, der er n\u00e6vnt nedenfor:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Forbedret sikkerhed<\/strong>: Kunstig intelligens kan opdage og forhindre cybertrusler i realtid, hvilket forbedrer virksomhedernes overordnede sikkerhed.<\/li>\n\n\n\n<li>&nbsp;<strong>\u00d8get effektivitet<\/strong>: Kunstig intelligens kan analysere store m\u00e6ngder data meget hurtigere end et menneske, hvilket \u00f8ger effektiviteten af sikkerhedsoperationer.<\/li>\n\n\n\n<li>&nbsp;<strong>Omkostningsbesparelser<\/strong>: Kunstig intelligens automatiserer detektion og forebyggelse af cybertrusler, hvilket g\u00f8r det muligt for virksomheder at kr\u00e6ve mindre arbejdskraft og spare p\u00e5 omkostninger.<\/li>\n\n\n\n<li>&nbsp;<strong>Bedre beslutningstagning<\/strong>: Kunstig intelligens kan bruges til at analysere data og give konklusioner, der kan hj\u00e6lpe virksomheder med at tr\u00e6ffe bedre sikkerhedsbeslutninger.<\/li>\n\n\n\n<li>&nbsp;<strong>Bedre responstid<\/strong>: Kunstig intelligens kan opdage og handle p\u00e5 cybertrusler i realtid, hvilket hj\u00e6lper virksomheder med at reagere.<\/li>\n<\/ul>\n\n\n\n<p>Sammenfattende er kunstig intelligens og maskinl\u00e6ring to begreber, der har en betydelig indvirkning p\u00e5 cybersikkerhedsomr\u00e5det. Ved at automatisere mange opgaver, der traditionelt udf\u00f8res manuelt, sparer AI tid og reducerer risikoen for menneskelige fejl. Derudover kan AI behandle store m\u00e6ngder data meget hurtigere end mennesker, hvilket letter identifikation og forebyggelse af storskala cybertrusler. Virksomheder, der investerer i cybersikkerhed og AI, vil v\u00e6re bedre rustet til at beskytte deres digitale aktiver og opretholde en konkurrencefordel i det stadigt udviklende teknologilandskab.<\/p>\n\n\n\n<p>Kunstig intelligens fors\u00f8ger altid at inkorporere innovative metoder, anvende maskinl\u00e6ringsalgoritmer og skabeloner til vores cybersikkerhedsl\u00f8sninger og produkter for at tilbyde den mest avancerede og fleksible beskyttelse.<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"understanding-user-and-entity-behavior-analytics-ueba\">Forst\u00e5else af bruger- og enhedsadf\u00e6rdsanalyse (UEBA)<\/h2>\n\n\n<p>L\u00f8sninger til bruger- og enhedsadf\u00e6rdsanalyse (UEBA) muligg\u00f8r modellering af brugeradf\u00e6rd og deres enheder, mens de surfer eller bruger en applikation. UEBA involverer overv\u00e5gning, indsamling og evaluering af data og aktiviteter fra brugere, der interagerer med et system, hvilket kan v\u00e6re informativt, transaktionelt eller procesbaseret.<\/p>\n\n\n\n<p>UEBA-teknologier udnytter kunstig intelligens og maskinl\u00e6ring til at analysere historiske dataregistre, herunder tekst, tal, stemme, lyd og video, for at identificere m\u00f8nstre og fodre systemer, der letter beslutningstagning i individuel klassificering, social reintegration, fysisk sikkerhed, logisk sikkerhed og cybersikkerhed. Baseret p\u00e5 deres analyse kan disse systemer tage foranstaltninger eller handlinger og automatisk tilpasse sig for at tr\u00e6ffe \u201cintelligente automatiserede beslutninger.\u201d<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"advanced-capabilities-and-applications-of-ueba-tools\">Avancerede kapaciteter og anvendelser af UEBA-v\u00e6rkt\u00f8jer<\/h2>\n\n\n<p>V\u00e6rkt\u00f8jer til brugeradf\u00e6rdsanalyse har mere avancerede undtagelses- og profiloverv\u00e5gningskapaciteter end traditionelle computersystemer. De bruges til at etablere en baseline for normale aktiviteter, der er specifikke for organisationen og dens brugere, og identificere afvigelser fra denne norm. UEBA anvender big data-algoritmer og maskinl\u00e6ring til at vurdere disse afvigelser i n\u00e6sten realtid, hvilket g\u00f8r det muligt for organisationer at foretage klassifikationer, beslutninger, opdage skjulte m\u00f8nstre og afd\u00e6kke risikosituationer eller andre potentielle sikkerhedstrusler.<\/p>\n\n\n\n<p>UEBA indsamler forskellige datatyper som brugerroller og titler, adgang, konti, tilladelser, brugeraktivitet, geografisk placering og sikkerhedsadvarsler. Dataene kan indsamles fra tidligere og nuv\u00e6rende aktiviteter, hvor analysen tager hensyn til faktorer som anvendte ressourcer, sessionens l\u00e6ngde, konnektivitet og peer-gruppeaktivitet for at sammenligne unormal adf\u00e6rd. Det opdateres ogs\u00e5 automatisk, n\u00e5r data \u00e6ndres, s\u00e5som n\u00e5r tilladelser tilf\u00f8jes.<\/p>\n\n\n\n<p>UEBA-systemer rapporterer ikke alle anomalier som risikable, men vurderer den potentielle indvirkning af adf\u00e6rden. Lave indvirkningsscore tildeles mindre f\u00f8lsomme ressourcer, mens h\u00f8jere indvirkningsscore gives til mere f\u00f8lsomme data, s\u00e5som personligt identificerbare oplysninger. Denne tilgang g\u00f8r det muligt for sikkerhedsteams at prioritere, hvilke spor der skal f\u00f8lges. Samtidig begr\u00e6nser UEBA-systemet automatisk eller \u00f8ger autentificeringsvanskeligheden for brugere, der udviser unormal adf\u00e6rd.<\/p>\n\n\n\n<p>Maskinl\u00e6ringsalgoritmer g\u00f8r det muligt for UEBA-systemer at reducere falske positiver og give klarere og mere pr\u00e6cis handlingsbar risikointelligens til cybersikkerhedsteams.<\/p>\n\n\n\n<p><strong>Som konklusion<\/strong><\/p>\n\n\n\n<p>I de senere \u00e5r har brugen af teknikker kaldet bruger- og enhedsadf\u00e6rdsanalyse (UEBA) til at analysere brugernes og enheders adf\u00e6rd spredt sig. Disse teknikker har mange anvendelser, der altid har noget til f\u00e6lles: registrering af brugeradf\u00e6rd i fortiden, modellering af denne adf\u00e6rd i nutiden og forudsigelse af, hvordan den vil v\u00e6re.<\/p>\n\n\n\n<p>Et UEBA-system indsamler data om bruger- og enhedsaktiviteter fra systemlogfiler. Det anvender avancerede analytiske metoder til at analysere dataene og etablerer en baseline for brugeradf\u00e6rdsm\u00f8nstre. UEBA overv\u00e5ger l\u00f8bende enhedsadf\u00e6rd og sammenligner den med baseline-adf\u00e6rd for den samme enhed eller lignende enheder for at opdage unormal adf\u00e6rd.<\/p>\n\n\n\n<p>Baseline er n\u00f8glen til et UEBA-system, da det g\u00f8r det muligt at opdage potentielle trusler. UEBA-systemet sammenligner den etablerede baseline med den aktuelle brugeradf\u00e6rd, beregner en risikoscore og bestemmer, om afvigelserne er acceptable. Systemet advarer sikkerhedsanalytikere, hvis risikoscoren overstiger en bestemt t\u00e6rskel.<\/p>","protected":false},"excerpt":{"rendered":"<p>Kunstig intelligens og cybersikkerhed er to begreber, der bliver stadig vigtigere i dagens digitale tidsalder. Mens kunstig intelligens er en simulering af menneskelig intelligens i maskiner, der er i stand til at l\u00e6re, tr\u00e6ffe beslutninger og... <a class=\"more-link\" href=\"https:\/\/securitybriefing.net\/da\/kunstig-intelligens\/brug-af-kunstig-intelligens-til-bruger-og-enhedsadfaerdsanalyse-ueba\/\">Read more <span class=\"screen-reader-text\">Brug af kunstig intelligens til analyse af bruger- og enhedsadf\u00e6rd (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 (UEBA)<\/title>\n<meta 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