ProPublica<\/a> roste Microsoft-medarbejdere Anthropics Claude Mythos Preview under et internt m\u00f8de afholdt i maj.<\/p>\n\n\n\nAnthropic gav angiveligt tidlig adgang til omkring 40 partnere, herunder Microsoft, Google, Apple og Amazon. Virksomheden har siden genoprettet adgangen til Mythos 5 efter godkendelse fra den amerikanske regering.<\/p>\n\n\n\n
Under Microsoft-m\u00f8det diskuterede medarbejderne, hvor effektivt modellen kunne gennemg\u00e5 store kodebaser og identificere potentielle sikkerhedssvagheder.<\/p>\n\n\n\n
Claude Mythos fandt 231 alvorlige SharePoint-s\u00e5rbarheder<\/h3>\n\n\n\n
Claude Mythos identificerede angiveligt 90 kritiske og 141 vigtige SharePoint-s\u00e5rbarheder i l\u00f8bet af april.<\/p>\n\n\n\n
Tallene d\u00e6kkede kun SharePoint. Hundredvis af yderligere s\u00e5rbarheder blev angiveligt opdaget p\u00e5 tv\u00e6rs af andre Microsoft-produkter og -tjenester.<\/p>\n\n\n\n
Microsofts ledere instruerede ingeni\u00f8rteams i at prioritere kritiske og vigtige problemer. Udviklere ville senere tage sig af s\u00e5rbarheder med moderat alvorlighed, fordi teamene manglede tilstr\u00e6kkelige ressourcer til straks at l\u00f8se alle fund.<\/p>\n\n\n\n
S\u00e5rbarheder med moderat alvorlighed kan stadig skabe alvorlige risici<\/h3>\n\n\n\n
En s\u00e5rbarhed med moderat alvorlighed kan virke mindre presserende, n\u00e5r den gennemg\u00e5s individuelt. Angribere kan dog kombinere flere mindre alvorlige svagheder for at skabe en farligere udnyttelsesk\u00e6de.<\/p>\n\n\n\n
Dette g\u00f8r forsinket udbedring risikabel, is\u00e6r da AI-v\u00e6rkt\u00f8jer forbedrer den hastighed, hvormed sikkerhedsforskere og angribere kan analysere software.<\/p>\n\n\n\n
Microsoft har allerede advaret om, at AI g\u00f8r det mere farligt at udskyde Windows-opdateringer. Hurtigere opdagelse af s\u00e5rbarheder kan forkorte perioden mellem en s\u00e5rbarheds identifikation og dens udnyttelse.<\/p>\n\n\n\n
AI \u00e6ndrer Microsofts sikkerhedsproces<\/h3>\n\n\n\n
Microsoft har udvidet sin AI-drevne Windows-sikkerhedsstrategi ved at introducere AI-v\u00e6rkt\u00f8jer i sine udviklings-, test- og sikkerhedspipelines.<\/p>\n\n\n\n
Virksomheden introducerede ogs\u00e5 for nylig MAI-Cyber-1-Flash, en cybersikkerhedsmodel designet til at reducere omkostningerne ved automatiserede sikkerhedsunders\u00f8gelser. Microsoft planl\u00e6gger at integrere modellen i MDASH.<\/p>\n\n\n\n
Disse systemer kan gennemg\u00e5 mere kode og opdage flere svagheder, end traditionelle sikkerhedsteams kunne identificere manuelt. At finde flere s\u00e5rbarheder skaber dog ogs\u00e5 en st\u00f8rre udbedringsbacklog.<\/p>\n\n\n\n
\u00c6ldre Microsoft-kode \u00f8ger arbejdsbyrden<\/h3>\n\n\n\n
Microsofts produkter som Windows, SharePoint og Microsoft 365 indeholder kode udviklet over flere \u00e5rtier.<\/p>\n\n\n\n
Nogle \u00e6ldre komponenter f\u00f8lger muligvis ikke moderne sikkerhedsstandarder eller udviklingspraksisser. Gennemgang, udskiftning og modernisering af disse systemer kr\u00e6ver betydelige ingeni\u00f8rressourcer.<\/p>\n\n\n\n
AI kan hj\u00e6lpe med at identificere svagheder p\u00e5 tv\u00e6rs af disse store kodebaser, men Microsoft har stadig brug for udviklere til at validere fundene, producere rettelser, teste opdateringer og implementere patches uden at forstyrre kunderne.<\/p>\n\n\n\n
Microsoft gennemg\u00e5r bemanding og sikkerhedsinvesteringer<\/h3>\n\n\n\n
Microsoft fortalte ProPublica, at de fortsat gennemg\u00e5r, hvordan deres teams klassificerer og prioriterer s\u00e5rbarheder.<\/p>\n\n\n\n
Virksomheden evaluerer ogs\u00e5 bemandingsniveauer, sikkerhedsinvesteringer og udviklingsv\u00e6rkt\u00f8jer, efterh\u00e5nden som AI \u00f8ger antallet af opdagede problemer.<\/p>\n\n\n\n
Udfordringen centrerer sig ikke l\u00e6ngere kun om at finde s\u00e5rbarheder. Microsoft skal ogs\u00e5 sikre, at deres ingeni\u00f8rteams kan behandle og reparere dem hurtigt nok.<\/p>\n\n\n\n
Virksomhedens bredere AI-strategi kan hj\u00e6lpe den med at v\u00e6lge den bedste model til hver opgave. Microsoft udfordrer OpenAI og Anthropic<\/a> ved at undg\u00e5 afh\u00e6ngighed af en enkelt AI-udbyder, hvilket giver deres teams adgang til forskellige modeller baseret p\u00e5 omkostninger, ydeevne og sikkerhedskrav.<\/p>\n\n\n\nAI-drevet fejldetektering kan forbedre softwaresikkerheden markant. Det kan ogs\u00e5 afsl\u00f8re flere s\u00e5rbarheder, end ingeni\u00f8rteams kan h\u00e5ndtere med det samme, hvilket \u00f8ger vigtigheden af bemanding, prioritering og hurtigere udvikling af rettelser.<\/p>\n","protected":false},"excerpt":{"rendered":"
Anthropics Claude Mythos har angiveligt fundet hundredvis af sikkerhedss\u00e5rbarheder p\u00e5 tv\u00e6rs af Microsofts produkter, herunder 231 alvorlige SharePoint-s\u00e5rbarheder alene i april. Resultaterne viser, hvordan kunstig intelligens kan fremskynde fejldetektering. De understreger dog ogs\u00e5 det stigende pres p\u00e5 Microsofts ingeni\u00f8rteams for hurtigt at unders\u00f8ge og udbedre s\u00e5rbarheder. Microsoft-medarbejdere roste Claude Mythos If\u00f8lge ProPublica roste Microsoft-medarbejdere Anthropics […]<\/p>\n","protected":false},"author":49,"featured_media":390,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_enabled_clarity":"","footnotes":""},"categories":[1],"tags":[],"work":[],"class_list":["post-389","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"yoast_head":"\n
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