{"id":1647,"date":"2023-04-03T15:54:20","date_gmt":"2023-04-03T15:54:20","guid":{"rendered":"https:\/\/securitybriefing.net\/?p=1647"},"modified":"2025-09-17T21:11:06","modified_gmt":"2025-09-17T21:11:06","slug":"brug-af-kunstig-intelligens-til-forbedring-af-cybersikkerhedsautomatiseringsprocesser-til-opgaver","status":"publish","type":"post","link":"https:\/\/securitybriefing.net\/da\/kunstig-intelligens\/brug-af-kunstig-intelligens-til-forbedring-af-cybersikkerhedsautomatiseringsprocesser-til-opgaver\/","title":{"rendered":"Brug af kunstig intelligens til at forbedre cybersikkerhedsautomatiseringsprocesser til opgaver"},"content":{"rendered":"

Kombinationen af computerkraft og adgang til store m\u00e6ngder information har gjort det muligt for mennesker at uddelegere opgaver, som de tidligere var ene om, f.eks. forudsigelser i komplekse milj\u00f8er og beslutningstagning. Med kunstig intelligens kan vi fortolke billeder for at opdage sygdomme, deltage i samtaler og forudse risici hurtigere, f.eks. manglende betaling eller risiko for svindel i forbindelse med forsikring. Kunstig intelligens har et bredt anvendelsesomr\u00e5de inden for cybersikkerhed, som fokuserer p\u00e5 at beskytte vores digitale aktiver.<\/p>\n\n\n\n

Kunstig intelligens, som er en samling af forudsigelige og selvl\u00e6rende teknikker, er med til at forbedre cybersikkerheden. Det sker ved l\u00f8bende at kalibrere algoritmerne, n\u00e5r de uds\u00e6ttes for nye oplysninger. Kompleksiteten og spredningen af de systemer, som virksomhederne arbejder med i dag, har vist, at traditionelle og manuelle metoder til risikooverv\u00e5gning, monitorering og kontrol er utilstr\u00e6kkelige. Desuden er Cyberkriminelles brug af kunstig intelligens<\/a> g\u00f8r vores systemer endnu mere s\u00e5rbare.<\/p>\n\n\n

Automatisering af cybersikkerhedsprocesser<\/h2>\n\n\n

I gennemsnit bruger medarbejderne tre timer af deres daglige arbejde p\u00e5 at udf\u00f8re gentagne opgaver p\u00e5 computeren, som ofte ikke er relateret til deres prim\u00e6re ansvarsomr\u00e5der. Det kan f\u00f8re til menneskelige fejl og demotivation, som hackere kan udnytte til at forberede cyberangrebsstrategier, som det fremg\u00e5r af en unders\u00f8gelse fra OnePoll.<\/p>\n\n\n\n

I hele 2023, Det forventes, at<\/a> at 45% af gentagne opgaver i store virksomheder vil blive automatiseret, som det fremg\u00e5r af en nylig IDC Research-unders\u00f8gelse fra forskellige europ\u00e6iske lande. Dette markerer et klart skift i de organisatoriske tendenser, som i h\u00f8j grad skyldes pandemien.<\/p>\n\n\n\n

Automatisering anvender kunstig intelligens og maskinl\u00e6ringsteknologier til at \u00f8ge reaktionshastigheden, spare tid og forbedre n\u00f8jagtigheden ved at reducere risikoen for menneskelige fejl. De seks mest gentagne opgaver, der kan automatiseres og beskyttes med kunstig intelligens, omfatter:<\/p>\n\n\n\n

Back Office:<\/strong> Datafangst, posth\u00e5ndtering, digital dokumentkatalogisering, computer- og software-rapporter eller kedelige fakturah\u00e5ndtering<\/a> er blandt de mest upopul\u00e6re opgaver. Ekstraktion af enheder fra dokumenter eller fakturaer er muligt, hvilket reducerer den manuelle inspektionstid, mens p\u00e5lideligheden opretholdes. Desuden, Integration af AI i virksomheders ERP-systemer<\/a> minimerer fejl og automatiserer denne proces. AI g\u00f8r det ogs\u00e5 muligt at opsummere dokumenter og f\u00e5 nye oplysninger ved at sammenligne dem med tidligere versioner, hvilket resulterer i h\u00f8jere rentabilitet end manuelle processer.<\/p>\n\n\n\n

Kundeservice:<\/strong> AI i kundeservice lytter og fortolker beskeder for at give det bedst egnede svar p\u00e5 kundens behov. Bots, der indleder kundesamtaler, bliver stadig mere almindelige og tilbyder hurtigere og mere pr\u00e6cise svar og tilg\u00e6ngelighed 24\/7. De opdager, n\u00e5r der er behov for menneskelig indgriben, og beder om agentens medvirken, hvilket frig\u00f8r agenter fra gentagne opgaver og automatiserer enkle eller almindelige processer. AI kan ogs\u00e5 automatisere ledelsesopgaver som f.eks. klassificering af indg\u00e5ende elektroniske beskeder og filtrering af spam.<\/p>\n\n\n\n

Gennemgang af skader for\u00e5rsaget af cyberangreb og kvalitetskontrol og -sikring:<\/strong> Nye teknologier har revolutioneret kvalitetskontrol, inspektioner og detektion af anomalier ved hj\u00e6lp af maskinl\u00e6ringsalgoritmer. De kan identificere skader eller funktionsfejl i maskiner eller strukturer gennem billedinput, lydoptagelser eller datam\u00f8nstre, inspicere f\u00e6rdige produkter for fejl og sikre kvalitetsstandarder.<\/p>\n\n\n\n

Billedgenkendelse:<\/strong> Billedgenkendelse er blevet mere udbredt i de senere \u00e5r og har vist sig nyttig i forskellige industrielle anvendelser. Det muligg\u00f8r passende overv\u00e5gning af arbejdsmilj\u00f8er og sikkerhedsudstyr, identifikation af risikosituationer og p\u00e5visning af produktafvigelser. Billedanalyse sparer tid ved automatisk at s\u00f8ge i millioner af poster p\u00e5 f\u00e5 sekunder eller give svar i realtid.<\/p>\n\n\n\n

Transskription af information:<\/strong> AI kan identificere specifikke oplysninger som ID, datoer, telefonnumre eller adresser. Det g\u00f8r det ogs\u00e5 lettere at generere rapporter til salgsteamet og integrere CRM. AI kan transskribere hele samtaler, udfylde huller efter fonetisk transskription og konvertere lydord til tekst.<\/p>\n\n\n\n

Opdagelse af indsigter og emner:<\/strong> AI kan udtr\u00e6kke relevant information fra meninger, anmeldelser og brugernes f\u00f8lelser. Denne evne g\u00f8r det muligt at identificere omr\u00e5der, der kan forbedres, og emner af interesse, n\u00e5r der genereres indhold.<\/p>\n\n\n\n

Disse opgaver kan blive oversv\u00f8mmet med ustrukturerede data, hvilket g\u00f8r dem vanskelige at h\u00e5ndtere. Denne r\u00e5 eller uorganiserede information kan ikke nemt lagres i foruddefinerede strukturer. Et simpelt eksempel til at forst\u00e5 forskellen er at indf\u00f8re data gennem en formular p\u00e5 et websted; indsamlingen sker ensartet, og dataene er pr\u00e6formaterede. Men hvis det er n\u00f8dvendigt at udtr\u00e6kke data fra et tekstdokument, vil f.eks. et s\u00e6t personoplysninger i en e-mail v\u00e6re ustrukturerede oplysninger, som skal behandles og struktureres manuelt, s\u00e5 de f\u00e5r en struktur eller klassifikation.<\/p>\n\n\n\n

Aktuelle anvendelser af kunstig intelligens inden for cybersikkerhed i gentagne arbejdsprocesser<\/strong><\/p>\n\n\n\n

Jagt p\u00e5 trusler:<\/strong> Identifikation af trusler og neutralisering af cyberangreb. Traditionelle teknikker, der er afh\u00e6ngige af identitet eller bruger indikatorer for kompromittering, kan forbedres og lukke huller i cybersikkerheden ved at styre og fortolke adf\u00e6rdsindikatorer.<\/p>\n\n\n\n

S\u00e5rbarhedsstyring:<\/strong> Antallet af s\u00e5rbarheder vokser hvert \u00e5r, og det er ikke nok at vente p\u00e5, at cyberkriminelle udnytter dem, f\u00f8r man reagerer p\u00e5 dem. User and Event Behavioral Analytics (UEBA) g\u00f8r det muligt at identificere unormal adf\u00e6rd, der indikerer cyberangrebsaktivitet, selv f\u00f8r patches, der korrigerer s\u00e5rbarheder, er tilg\u00e6ngelige.<\/p>\n\n\n\n

Datacentre:<\/strong> Ligesom p\u00e5 andre omr\u00e5der letter kunstig intelligens optimeringen og overv\u00e5gningen af vigtige databehandlingscentre og hj\u00e6lper med at opdage trusler om unormal adf\u00e6rd. Det forbedrer brugen af disse ressourcer og deres udvikling med deraf f\u00f8lgende omkostningsbesparelser og risikoreduktion, som f.eks. nedetid for tjenester eller udf\u00f8relse af ondsindet software.<\/p>\n\n\n\n

Netv\u00e6rkssikkerhed:<\/strong> Kunstig intelligens g\u00f8r det muligt at l\u00e6re trafikadf\u00e6rdsm\u00f8nstrene i netv\u00e6rk b\u00e5de inden for handlingspolitikker mod brugeradf\u00e6rd og p\u00e5 det mere topografiske omr\u00e5de, n\u00e5r det drejer sig om at identificere, hvilke processer der svarer til hver applikation. AI kan anbefale gruppering af arbejdsbyrder og anvendelse af sikkerhedspolitikker.<\/p>\n\n\n\n

Sikring af autentificering:<\/strong> B\u00e5de for at beskytte brugere, der f\u00e5r adgang til vores tjenester, og det s\u00e6t elementer, de bruger, kan kunstig intelligens identificere brugen af falske identiteter eller brute force-angreb, hvilket giver en yderligere barriere for svigagtig adgang til vores tjenester ud over brugergodkendelse eller brug af captcha.<\/p>\n\n\n\n

Fortrolighed og overholdelse af information:<\/strong> Kunstig intelligens hj\u00e6lper med at klassificere oplysninger automatisk efter deres kritiske niveau i lyset af forskellige regler som GDPR. Dette indeb\u00e6rer besparelser i forhold til den indsats, der i \u00f8jeblikket g\u00f8res manuelt, og man undg\u00e5r de risici, det medf\u00f8rer.<\/p>\n\n\n\n

Blokering af bots baseret p\u00e5 deres adf\u00e6rd:<\/strong> Uden at v\u00e6re ondsindet bruger bots b\u00e5ndbredden p\u00e5 vores servere, hvilket skader brugeroplevelsen for vores rigtige kunder. Kunstig intelligens g\u00f8r det muligt at klassificere disse bes\u00f8gendes aktivitet for at begr\u00e6nse deres handlinger.<\/p>\n\n\n\n

Disse brugsscenarier er blevet en realitet for f\u00f8rende akt\u00f8rer i den digitale verden, som for eksempel Google, der har Integreret kunstig intelligens i cybersikkerhed<\/a> i sin Gmail-tjeneste, og IBM\/Watson, som har denne kombination blandt sine sikkerhedsv\u00e6rkt\u00f8jer. Andre bem\u00e6rkelsesv\u00e6rdige eksempler er Juniper Networks og Balbix. <\/p>\n\n\n\n

P\u00e5 grund af at cyberkriminelle i stigende grad bruger kunstig intelligens til deres angreb og de fordele, det giver i h\u00e5ndteringen af forskellige cybersikkerhedssystemer og -tjenester, er det blevet vigtigt at implementere sikkerhedsl\u00f8sninger, der udnytter kunstig intelligens. Som f\u00f8lge heraf vil vi blive bedre til at opdage hackere, reducere omkostningerne ved de nuv\u00e6rende sikkerhedsniveauer og forbedre oplevelsen for vores kunder og brugere.<\/p>","protected":false},"excerpt":{"rendered":"

Kombinationen af computerkraft og tilg\u00e6ngeligheden af omfattende information har gjort det muligt for mennesker at delegere opgaver, der engang var eksklusive for dem, s\u00e5som at lave forudsigelser i komplekse milj\u00f8er... Read more Brug af kunstig intelligens til at forbedre cybersikkerhedsautomatiseringsprocesser til opgaver<\/span><\/a><\/p>","protected":false},"author":1,"featured_media":1649,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[],"class_list":["post-1647","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","entry"],"yoast_head":"\nAI for Streamlining Cybersecurity Automation & Task Management<\/title>\n<meta name=\"description\" content=\"Explore AI's role in streamlining cybersecurity, enhancing automation and task management for robust threat protection.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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