{"id":3054,"date":"2023-10-02T10:52:54","date_gmt":"2023-10-02T10:52:54","guid":{"rendered":"http:\/\/the-codest.localhost\/blog\/banks-go-high-tech-unravel-fraud-with-machine-learning\/"},"modified":"2026-02-10T13:28:31","modified_gmt":"2026-02-10T13:28:31","slug":"bankar-beita-hathroadri-taekni-til-ad-uppraeta-svik-med-velanami","status":"publish","type":"post","link":"https:\/\/thecodest.co\/is\/blog\/banks-go-high-tech-unravel-fraud-with-machine-learning\/","title":{"rendered":"Bankar fara \u00ed h\u00e1t\u00e6kni: Leysa svik me\u00f0 Machine Learning"},"content":{"rendered":"

\u00cd t\u00e6kniv\u00e6ddri t\u00ed\u00f0 er l\u00edklegt a\u00f0 einhver hafi reynt a\u00f0 blekkja \u00feig e\u00f0a sv\u00edkja \u00feig \u00far har\u00f0fengnum peningum \u00fe\u00ednum. Kynnumst h\u00e1t\u00e6kniver\u00f6ldinni svikagreining \u00ed bankastarfsemi<\/a> a\u00f0 nota v\u00e9lan\u00e1m<\/a><\/strong>. D\u00fdnam\u00edskt tv\u00edeyki sem n\u00fdtir kraft sj\u00e1lfvirkrar greindar til a\u00f0 st\u00f6\u00f0va fl\u00f3\u00f0 sviksamlegra svikara og snjallra netgl\u00e6pamenn<\/a>. \u00c1hugasamur? Taktu \u00fe\u00e9r kaffibolla me\u00f0an vi\u00f0 leggjum af sta\u00f0 \u00ed uppl\u00fdsandi fer\u00f0alag um \u00feessa brautry\u00f0jandi n\u00e1lgun sem er a\u00f0 umbreyta bankatryggingum.<\/p>\n

Hva\u00f0 er svikagreining?<\/h2>\n

Til a\u00f0 sk\u00fdra fr\u00e1 byrjun \u00e1 s\u00e9r svik sta\u00f0 \u00feegar \u00f3hei\u00f0arlegir einstaklingar fremja \u00f3l\u00f6gm\u00e6t ath\u00e6fi me\u00f0 \u00fea\u00f0 fyrir augum a\u00f0 hagnast \u00e1 \u00f3ver\u00f0skulda\u00f0ri fj\u00e1rhagslegri umbun \u00e1 me\u00f0an \u00feeir valda \u00f6\u00f0rum ska\u00f0a. \u00dear sem blekkingart\u00e6kni \u00fer\u00f3ast me\u00f0 t\u00edmanum og raskar \u00f3tal l\u00edfum og v\u00f6sum, er greining sviksamlegra athafna\u2014sem kallast svikagreining<\/strong>\u2014ver\u00f0ur br\u00fdn nau\u00f0syn. En ekki hafa \u00e1hyggjur! Bankageirinn situr ekki au\u00f0um h\u00f6ndum.<\/p>\n

Svikagreining<\/strong> \u00cd bankastarfsemi sn\u00fdst \u00feetta \u00ed grundvallaratri\u00f0um um a\u00f0 greina grunsamlega fj\u00e1rm\u00e1lheg\u00f0un hratt og n\u00e1kv\u00e6mlega\u2014l\u00ednan sem skilur \u00e1 milli vinnusamra einstaklinga og hugsanlegra svikara sem leita a\u00f0 au\u00f0veldum peningagr\u00f3\u00f0a.<\/p>\n

Hvernig gerist \u00feetta n\u00e1kv\u00e6mlega? \u00deetta felur \u00ed s\u00e9r gr\u00ed\u00f0arlega fj\u00f6lbreytt kerfi, allt fr\u00e1 reglubundnum greiningum\u2014hef\u00f0bundinni a\u00f0fer\u00f0\u2014til gervigreind<\/strong> (Gervigreind<\/a>) reiknirit sem vinna \u00far fj\u00f6llum af g\u00f6gn<\/a> og mynstur. Me\u00f0al \u00feessara gervigreindarlausna felst gr\u00ed\u00f0arlegur m\u00f6guleiki. \u00de\u00fa giska\u00f0ir r\u00e9tt; \u00fea\u00f0 er \u201cMachine Learning.\u201d<\/p>\n

Undirsett gervigreindar, v\u00e9lan\u00e1m \u00fej\u00e1lfar t\u00f6lvur til a\u00f0 geta skili\u00f0 g\u00edfurlegt magn fl\u00f3kinna gagna og b\u00e6tt sp\u00e1r s\u00ednar me\u00f0 t\u00edmanum\u2014sannkalla\u00f0 byltingarkennd t\u00e6kni til a\u00f0 greina vafasama starfsemi \u00e1\u00f0ur en h\u00fan t\u00e6mir banki<\/a> reikningar kaldir!<\/p>\n

Me\u00f0 \u00feessum framf\u00f6rum sem bo\u00f0a n\u00fdjan sj\u00f3ndeildarhring \u00ed a\u00f0 styrkja varnir gegn peningalegum svikum skulum vi\u00f0 kafa d\u00fdpra \u00ed hvernig bankar<\/a> hafa tileinka\u00f0 s\u00e9r v\u00e9lan\u00e1m vegna \u00f3vi\u00f0jafnanlegra \u00e1bata \u00feess\u2014og hvers vegna \u00fe\u00fa \u00e6ttir a\u00f0 l\u00ed\u00f0a \u00f6ruggari me\u00f0 fj\u00e1rm\u00e1lin \u00fe\u00edn vegna \u00feess a\u00f0 \u00feau ger\u00f0u \u00fea\u00f0.<\/p>\n

\u00c1vinningur Machine Learning vi\u00f0 svikagreiningu<\/h2>\n

V\u00e9lan\u00e1m hefur komi\u00f0 fram sem \u00f6flugt t\u00e6ki \u00ed vopnab\u00far banka og fj\u00e1rm\u00e1lastofnana sem leitast vi\u00f0 a\u00f0 berjast gegn svikum. Innlei\u00f0ing t\u00e6kni \u00ed v\u00e9lan\u00e1mi<\/strong> fyrir svikagreining<\/strong> Hefur umbreytt geiranum, stu\u00f0la\u00f0 a\u00f0 aukinni skilvirkni og n\u00e1kv\u00e6mni. En hva\u00f0 gerir v\u00e9lan\u00e1m n\u00e1kv\u00e6mlega a\u00f0 \u00f3missandi \u00fe\u00e6tti \u00ed n\u00fat\u00edma banka svikagreining<\/strong> og stefnur?<\/p>\n

Sj\u00e1lfvirk greining<\/h3>\n

Ein af helstu kostunum er sj\u00e1lfvirk greining. Hef\u00f0bundnar handvirkar a\u00f0fer\u00f0ir Greina kortasvik<\/strong> eru krefjandi a\u00f0 stj\u00f3rna mi\u00f0a\u00f0 vi\u00f0 veldisv\u00edsisv\u00f6xt \u00ed vi\u00f0skiptag\u00f6gn<\/strong> og hafa a\u00f0 mestu veri\u00f0 skipt \u00fat. V\u00e9lan\u00e1m greinir m\u00f6gulega sviksamlega starfsemi hratt me\u00f0 \u00fev\u00ed a\u00f0 greina mynstur sem menn g\u00e6tu misst af.<\/p>\n

B\u00e6tt n\u00e1kv\u00e6mni<\/h3>\n

V\u00e9lan\u00e1m, \u00feegar \u00fea\u00f0 er nota\u00f0 me\u00f0 gervigreind \u00ed a svikagreining<\/strong> kerfi b\u00fd\u00f0ur upp \u00e1 \u00f3vi\u00f0jafnanlega n\u00e1kv\u00e6mni vi\u00f0 a\u00f0 greina grunsamlegar f\u00e6rslur. A\u00f0 n\u00fdta \u00feessar t\u00e6knir gengur langt \u00fat fyrir einf\u00f6ld reglubundin kerfi og veitir fj\u00e1rm\u00e1lastofnunum aukna getu til a\u00f0 greina og afnema \u00e1h\u00e6ttu sem tengist sviksamlegar f\u00e6rslur<\/strong>.<\/p>\n

Skalunarm\u00f6guleikar vi\u00f0 mikla vi\u00f0skipti<\/h3>\n

Bankar vinna reglulega \u00far millj\u00f3num\u2014stundum millj\u00f6r\u00f0um\u2014vi\u00f0skipta \u00e1 hverjum degi. Me\u00f0 v\u00e9lan\u00e1msekvar\u00f0ar<\/strong> a\u00f0 gera undirb\u00faningsvinnuna, Stigst\u00e6r\u00f0<\/a> Ver\u00f0ur minni \u00e1skorun. \u00deetta au\u00f0veldar a\u00f0 m\u00e6ta miklum vi\u00f0skiptamagni \u00e1n \u00feess a\u00f0 sker\u00f0a skilvirkni.<\/p>\n

A\u00f0l\u00f6gunarh\u00e6fur vi\u00f0 n\u00fdjar \u00f3gnir<\/h3>\n

Me\u00f0 sj\u00e1lfn\u00e1msgetu v\u00e9lan\u00e1mstengds kerfis eiga n\u00fdjar tegundir svika ekki langa m\u00f6guleika. Kerfi\u00f0 a\u00f0lagar sig \u00fat fr\u00e1 athugu\u00f0um heg\u00f0unum e\u00f0a a\u00f0ger\u00f0um \u00far fyrri gagnas\u00f6fnum \u2013 \u00fea\u00f0 batnar st\u00f6\u00f0ugt me\u00f0 t\u00edmanum og eykur \u00fear me\u00f0 h\u00e6fni s\u00edna til a\u00f0 takast \u00e1 vi\u00f0 n\u00fdjar \u00f3gnir.<\/p>\n

\u00deegar \u00feessir kostir eru teknir til greina sta\u00f0festir \u00fea\u00f0 \u00e1 n\u00fd hvers vegna bankar treysta miki\u00f0 \u00e1 trausta v\u00e9lbundna l\u00edk\u00f6n \u00ed starfsemi sinni sem tengist kreditkortum. svikagreining<\/strong>, vefs\u00ed\u00f0ua\u00f0greining og v\u00ed\u00f0ar, svikagreining<\/strong> innan bankastarfsemi.<\/p>\n

Mundu \u00fe\u00f3 a\u00f0 \u00fer\u00e1tt fyrir a\u00f0 verulegur \u00e1rangur hafi n\u00e1\u00f0st me\u00f0 v\u00e9lan\u00e1m vi\u00f0 a\u00f0 tryggja \u00f6ruggar f\u00e6rslur og vernda notendauppl\u00fdsingar gegn rafr\u00e6nni au\u00f0kennis\u00fej\u00f3fna\u00f0i e\u00f0a misnotkun, er \u00fea\u00f0 enn a\u00f0eins einn kjarna\u00fe\u00e1ttur af heildinni net\u00f6ryggi<\/a> vistkerfi sem bankar ver\u00f0a a\u00f0 stj\u00f3rna \u00e1 skilvirkan h\u00e1tt. \u00deessi vegfer\u00f0 til a\u00f0 f\u00ednstilla rekstrar\u00feekkingu krefst \u00feolinm\u00e6\u00f0i \u2013 um er a\u00f0 r\u00e6\u00f0a a\u00f0 byggja upp sterkari varnargrind me\u00f0 t\u00edmanum og innlei\u00f0a n\u00fdjustu lausnir \u00fear sem \u00fe\u00e6r n\u00fdtast best. Fyrir n\u00fa er lj\u00f3st a\u00f0 v\u00e9lan\u00e1m hefur reynst \u00f3metanlegt \u00ed s\u00edfelldri bar\u00e1ttu fj\u00e1rm\u00e1lageirans gegn svikum.<\/p>\n

Ger\u00f0ir af Machine Learning-l\u00edk\u00f6num fyrir svikagreiningu<\/h2>\n

\u00deegar vi\u00f0 f\u00f6rum d\u00fdpra inn \u00ed r\u00edki svikagreining<\/strong> \u00cd bankastarfsemi sem n\u00fdtir v\u00e9lan\u00e1m er nau\u00f0synlegt a\u00f0 afhj\u00fapa \u00fdmis konar n\u00fdst\u00e1rleg l\u00edk\u00f6n sem koma til greina. Skulum varpa lj\u00f3si \u00e1 einstaka eiginleika og notkunartilvik fyrir lei\u00f0beinandi n\u00e1m, \u00f3lei\u00f0beinandi n\u00e1m, h\u00e1lf-lei\u00f0beinandi n\u00e1m og Forsterkn\u00e1mskenning<\/strong> \u00ed bar\u00e1ttunni gegn sviks\u00f6mum ath\u00f6fnum.<\/p>\n

Lei\u00f0beint n\u00e1m<\/h3>\n

\u00cd meginatri\u00f0um er lei\u00f0s\u00f6gu\u00f0 n\u00e1mskennsla eins og a\u00f0 s\u00fdna gervigreindarfer\u00f0alei\u00f0s\u00f6gub\u00f3k \u2013 kerfi\u00f0 byggir miki\u00f0 \u00e1 g\u00f6gnum sem \u00e1\u00f0ur hafa veri\u00f0 r\u00e9tt merkt. H\u00e9r f\u00f3\u00f0rum vi\u00f0 reiknirit me\u00f0 \u00feekktum g\u00f6gnum \u00fear sem hlj\u00f3\u00f0klippur eru flokka\u00f0ar sem anna\u00f0 hvort t\u00f3nlist e\u00f0a talm\u00e1l. Ef vefs\u00ed\u00f0a er merkt sem m\u00f6gulega sviks\u00f6m af sj\u00e1lfvirkum kerfum og mannlegir yfirlesarar sta\u00f0festa \u00feessa ni\u00f0urst\u00f6\u00f0u \u2013 tekur v\u00e9lan\u00e1m eftir mynstrunum sem koma fram.<\/p>\n

Fyrir eftirlitsst\u00fdr\u00f0a v\u00e9lan\u00e1m svikagreining<\/strong> Tryggir \u00f3tr\u00falega mikla n\u00e1kv\u00e6mni \u00fear sem \u00fea\u00f0 \u00fej\u00e1lfar sig me\u00f0 st\u00f3rum gagnamagni, stundum terab\u00e6ti af lei\u00f0r\u00e9ttum gagnas\u00fdnum, \u00e1\u00f0ur en \u00fea\u00f0 er teki\u00f0 \u00ed notkun. Hins vegar getur frammista\u00f0a \u00feess skerst ni\u00f0ur \u00feegar \u00fea\u00f0 stendur frammi fyrir n\u00fdjum svindlr\u00e6kslum utan \u00fej\u00e1lfunarsvi\u00f0s s\u00edns.<\/p>\n

\u00d3st\u00fdr\u00f0 l\u00e6ring<\/h3>\n

\u00de\u00f3 a\u00f0 eftirlitsst\u00fdr\u00f0 l\u00e6ring byggir \u00e1 fyrirfram merktri gagnas\u00f6fnum til a\u00f0 virka \u00e1 skilvirkan h\u00e1tt, starfar \u00f3eftirlitsst\u00fdr\u00f0 l\u00e6ring ekki innan sl\u00edkra marka. \u00cd sta\u00f0 \u00feess a\u00f0 vinna me\u00f0 gagnav\u00edsindamenn<\/strong> Me\u00f0 \u00fev\u00ed a\u00f0 \u00fatvega sv\u00f6r fyrirfram greinir \u00feetta l\u00edkan fr\u00e1vik og \u00fatl\u00e6garmynstur sj\u00e1lfst\u00e6tt \u00far n\u00fdjum d\u00e6mum af f\u00e6r\u00f0um g\u00f6gnum.<\/p>\n

\u00d3st\u00fdr\u00f0 v\u00e9lan\u00e1m gle\u00f0st yfir \u00fev\u00ed a\u00f0 afhj\u00fapa \u00f3\u00feekkt fr\u00e1vik\u2014\u00fev\u00ed ferskari svindlplani\u00f0 sem svikarar hafa \u00f3gruna\u00f0ir \u00e1\u00f0ur sm\u00ed\u00f0a\u00f0, \u00fev\u00ed skarpari ver\u00f0a \u00feessar reiknirit \u00ed a\u00f0 greina \u00fea\u00f0. \u00cd e\u00f0li s\u00ednu beita \u00feau \u00f6flugum vopni gegn \u00f3gnum sem \u00fer\u00f3ast \u00ed raunt\u00edma innan gervigreindar og svikagreining<\/strong> r\u00fdmi.<\/p>\n

H\u00e1lf-st\u00fdr\u00f0 l\u00e6ring<\/h3>\n

A\u00f0 ganga \u00e1 \u00e1hugaver\u00f0u millilendi milli lei\u00f0beindra og \u00f3lei\u00f0beindra n\u00e1lgana er h\u00e1lf-lei\u00f0beinandi l\u00e6rd\u00f3mur \u2013 spennandi m\u00f6guleiki til a\u00f0 greina svik \u00ed bankavi\u00f0skiptum. \u00deessi blanda\u00f0a n\u00e1lgun n\u00fdtir b\u00e6\u00f0i merkt og \u00f3merkt g\u00f6gn \u00e1 \u00fej\u00e1lfunart\u00edmabilinu, eykur seiglu me\u00f0 t\u00edmanum og vi\u00f0heldur h\u00e1u n\u00e1kv\u00e6mni sem svipar til lei\u00f0beindra l\u00edkana.<\/p>\n

H\u00e1lf-st\u00fdr\u00f0 v\u00e9lan\u00e1m sk\u00edn sk\u00e6rt me\u00f0 hagkv\u00e6mri n\u00e1lgun sinni, \u00fear sem merking gagna getur stundum veri\u00f0 au\u00f0lindamiki\u00f0 og t\u00edmafrekt. Me\u00f0 \u00fev\u00ed a\u00f0 sameina kosti beggja n\u00e1lgana gengur h\u00e1lf-st\u00fdr\u00f0 v\u00e9lan\u00e1m \u00e1 f\u00ednum ja\u00f0ri milli reiknirits til svikagreiningar sem b\u00fdr yfir n\u00e1kv\u00e6mni og a\u00f0l\u00f6gunarh\u00e6fni a\u00f0 s\u00edbreytilegum svikaa\u00f0st\u00e6\u00f0um.<\/p>\n

Forsterkn\u00e1mskenning<\/h3>\n

Me\u00f0 \u00fev\u00ed a\u00f0 feta lei\u00f0 utan hef\u00f0bundinna flokka komumst vi\u00f0 a\u00f0 styrkingarn\u00e1mi \u2013 sj\u00e1lfsuppg\u00f6tvunarstj\u00f6rnu gervigreindar. \u00cd sta\u00f0 \u00feess a\u00f0 treysta \u00e1 fyrirfram flokka\u00f0a d\u00e6mi l\u00e6rir \u00fea\u00f0 me\u00f0 \u00fev\u00ed a\u00f0 framkv\u00e6ma og stillir sig sj\u00e1lft me\u00f0 j\u00e1kv\u00e6\u00f0um styrkingum e\u00f0a neikv\u00e6\u00f0um refsingum.<\/p>\n

V\u00e9larn\u00e1msstyrkingarst\u00fdring sker sig \u00far fyrir d\u00fdnam\u00edk\u2014h\u00fan b\u00e6tir sig \u00edtreka\u00f0 \u00ed \u00e1tt a\u00f0 kj\u00f6rstefnu. H\u00fan \u00fer\u00edfst \u00e1 a\u00f0 takast \u00e1 vi\u00f0 breytilega \u00fe\u00e6tti \u00e1n \u00feess a\u00f0 \u00feurfa a\u00f0 endurstilla heilar kerfi\u2014veruleg framfaraskref \u00ed a\u00f0fer\u00f0um v\u00e9larn\u00e1ms til a\u00f0 greina svik.<\/p>\n

\u00dear sem tilvik um fj\u00e1rm\u00e1lamisferli halda \u00e1fram a\u00f0 fj\u00f6lga s\u00e9r \u00e1hyggjueflandi, skulum vi\u00f0 n\u00fdta \u00feessa \u00f3l\u00edka en samverkandi v\u00e9lan\u00e1mger\u00f0ir<\/strong> Notkunarstefnur. Me\u00f0 \u00fev\u00ed a\u00f0 skilja grundvallarvirkni \u00feeirra og styrkleika geta bankar n\u00fdtt \u00feau strateg\u00edskt \u2013 beitt har\u00f0ri a\u00f0ger\u00f0um gegn svikurum \u00e1 sama t\u00edma og \u00feau styrkja varnarkerfi s\u00edn af krafti \u00ed \u00f3yfirst\u00edganlegan v\u00edgv\u00f6rn gegn s\u00edfelldum \u00f3gnum.<\/p>\n

Notkunartilvik Machine Learning til svikagreiningar<\/h2>\n

V\u00e9lan\u00e1m fyrir svikagreining<\/strong> er s\u00edfellt a\u00f0 ver\u00f0a mikilv\u00e6gt t\u00e6ki \u00ed \u00fdmsum geirum. Skulum kafa d\u00fdpra \u00ed nokkur d\u00e6mi \u00fear sem \u00feetta kraftmikla t\u00e6kni gegnir lykilhlutverki.<\/p>\n

Netverslanir og vi\u00f0skiptasvik<\/h3>\n

\u00cd annas\u00f6mu heimi rafr\u00e6n verslun<\/a>, vi\u00f0skiptasvik eru enn mi\u00f0l\u00e6gur vandi sem sm\u00e1salar gl\u00edma vi\u00f0. Svikarar eru st\u00f6\u00f0ugt a\u00f0 \u00fer\u00f3a n\u00fdjar lei\u00f0ir til a\u00f0 fremja svik, eins og a\u00f0 b\u00faa til falska reikninga e\u00f0a gera l\u00f6gm\u00e6t vi\u00f0skipti<\/strong> a\u00f0 nota stoli\u00f0 kreditkortauppl\u00fdsingar.<\/p>\n

H\u00e9r ver\u00f0ur v\u00e9lan\u00e1m \u00f3missandi. \u00dea\u00f0 a\u00f0sto\u00f0ar netverslanir vi\u00f0 a\u00f0 greina flj\u00f3tt \u00f3venjuleg mynstur e\u00f0a fr\u00e1vik \u00far gr\u00ed\u00f0arst\u00f3rum magni af vi\u00f0skiptag\u00f6gn<\/strong>. Me\u00f0 \u00fev\u00ed a\u00f0 beita a\u00f0fer\u00f0um eins og lei\u00f0beindu l\u00e6ri geta \u00feessar ger\u00f0ir l\u00e6rt af fyrri svikr\u00e1\u00f0um og greint svipu\u00f0 kerfi \u00e1 \u00e1hrifar\u00edkan h\u00e1tt \u00ed raunt\u00edma \u2014 sem eykur \u00f6ryggi verulega og styrkir traust vi\u00f0skiptavina.<\/p>\n

Fj\u00e1rm\u00e1lastofnanir og samr\u00e6mi<\/h3>\n

Fj\u00e1rm\u00e1lastofnanir standa frammi fyrir s\u00edfellt vaxandi \u00e1skorun um a\u00f0 berjast gegn peninga\u00fev\u00e6tti og uppfylla fj\u00f6lmargar kr\u00f6fur. fj\u00e1rm\u00e1laregluger\u00f0ir<\/a>. V\u00e9lan\u00e1m reynist \u00f3metanlegt \u00ed \u00feessu samhengi me\u00f0 \u00fev\u00ed a\u00f0 hj\u00e1lpa \u00feessum stofnunum a\u00f0 nota l\u00edk\u00f6n fyrir svikagreiningu \u00ed bankavi\u00f0skiptum sem gera \u00feeim kleift a\u00f0 rekja grunsamlegar a\u00f0ger\u00f0ir \u00ed gegnum millj\u00f3nir vi\u00f0skipta.<\/p>\n

Me\u00f0 \u00fev\u00ed a\u00f0 n\u00fdta gervigreind og svikagreining<\/strong> Me\u00f0 lausnum geta bankar fylgst me\u00f0 \u00f6llum fr\u00e1vikum samstundis og \u00fear me\u00f0 l\u00e1gmarka\u00f0 \u00e1h\u00e6ttu \u00e1 sviksamlegar f\u00e6rslur<\/strong> A\u00f0 komast \u00ed gegnum neti\u00f0 \u00e1 sama t\u00edma og tryggt er fullkomi\u00f0 samr\u00e6mi vi\u00f0 regluger\u00f0ir.<\/p>\n

iGaming og misnotkun b\u00f3nusa e\u00f0a fj\u00f6lreikningshald<\/h2>\n

M\u00f6rg reikningshald e\u00f0a misnotkun b\u00f3nusa eru algeng vandam\u00e1l sem \u00f3gna \u00f6rt vaxandi iGaming-geiranum \u00ed dag. Kvikindisfullir spilara b\u00faa til m\u00f6rg reikningar<\/strong> a\u00f0 misnota skr\u00e1ningarb\u00f3nusa; vandam\u00e1l sem erfitt er a\u00f0 r\u00e1\u00f0a ni\u00f0url\u00f6gum me\u00f0 handvirkum h\u00e6tti vegna mikils umfer\u00f0armagns.<\/p>\n

Aftur koma t\u00e6kni eins og v\u00e9lan\u00e1m til s\u00f6gunnar\u2014a\u00f0 greina \u00f3venjulega heg\u00f0un leikmanna me\u00f0 reikniritum sem bygg\u00f0 eru \u00e1 umfangsmiklum s\u00f6guleg g\u00f6gn<\/strong> S\u00f6fn sem tengjast ve\u00f0munaheg\u00f0un, IP-t\u00f6lum, uppl\u00fdsingum um t\u00e6ki o.s.frv., og draga \u00feannig verulega \u00far sviks\u00f6mum a\u00f0fer\u00f0um \u00e1n \u00feess a\u00f0 sker\u00f0a upplifun ekta spilara.<\/p>\n

BNPL (kaupa n\u00fana, grei\u00f0a s\u00ed\u00f0ar) \u00fej\u00f3nustur og \u00e1r\u00e1sir \u00e1 yfirr\u00e1\u00f0 reiknings (ATO)<\/h2>\n

BNPL-\u00fej\u00f3nustur bj\u00f3\u00f0a neytendum sveigjanlegar grei\u00f0slulei\u00f0ir en setja \u00fe\u00e1 jafnframt \u00ed h\u00e6ttu \u00e1 ATO-\u00e1r\u00e1sum \u00fear sem hakkarar n\u00e1 stj\u00f3rn \u00e1 notendareikningi.<\/p>\n

Innlei\u00f0ing v\u00e9ln\u00e1ms svikagreining<\/strong> A\u00f0sto\u00f0ar BNPL-\u00fej\u00f3nustuveitendur vi\u00f0 a\u00f0 afhj\u00fapa sl\u00edk \u00e1r\u00e1sir tafarlaust. L\u00edkani\u00f0 greinir skyndilegar breytingar \u00e1 kaupum og mynstur \u00ed heg\u00f0un notenda<\/strong>, greina fr\u00e1vik sem tengjast m\u00f6gulegum ATO-\u00e1r\u00e1sum og vekja kerfi\u00f0 til tafarlausra lei\u00f0r\u00e9ttingara\u00f0ger\u00f0a.<\/p>\n

Grei\u00f0slug\u00e1ttir og bakkjarasvik<\/h2>\n

Endurgrei\u00f0usvik plaga m\u00f6rg fyrirt\u00e6ki sem afgrei\u00f0a grei\u00f0slur \u00ed gegnum netg\u00e1ttir. \u00cd \u00feessu svindli halda vi\u00f0skiptavinir ranglega fram a\u00f0 kreditkortum \u00feeirra hafi veri\u00f0 rukka\u00f0 \u00e1n sam\u00feykkis.<\/p>\n

A\u00f0 sam\u00fe\u00e6tta Machine Learning-l\u00edk\u00f6n<\/strong> er afar \u00e1hrifar\u00edk lei\u00f0 til a\u00f0 berjast gegn \u00feessu vandam\u00e1li. \u00deau greina \u00f3venjuleg kaupmynstur og kalla fram vi\u00f0varanir \u00feegar grunsamlegar athafnir koma fram, sem dregur \u00far fj\u00e1rhagslegt tap<\/strong> Skeytast af v\u00f6ldum sviksamlegra bakkagrei\u00f0slna. \u00c1 \u00feennan h\u00e1tt geta fyrirt\u00e6ki vi\u00f0haldi\u00f0 or\u00f0spori s\u00ednu \u00e1 me\u00f0an \u00feau tryggja hn\u00f6kralausa \u00fej\u00f3nustuverksfer\u00f0 vi\u00f0skiptavina.<\/p>\n

Bestu starfsh\u00e6ttir vi\u00f0 svikav\u00f6rn fyrir Machine Learning<\/h2>\n

Fagna v\u00e9lan\u00e1m gegn svikum<\/strong> Greining \u00ed bankastarfsemi felur \u00ed s\u00e9r innlei\u00f0ingu bestu starfsh\u00e1tta. \u00deeir styrkja varnir banka \u00fe\u00edns gegn sviks\u00f6mum ath\u00f6fnum. Uppf\u00e6rsla getur \u00e1tt s\u00e9r sta\u00f0 me\u00f0 eftirfarandi a\u00f0fer\u00f0um.<\/p>\n

Sameina g\u00f6gn fyrirfram<\/h3>\n

Eitt mikilv\u00e6gt skref sem \u00fe\u00fa \u00e6ttir a\u00f0 \u00edhuga er samruni gagna. Vegna \u00feeirrar miklu \u00e1berandi st\u00f6\u00f0u sem gervigreind og svikagreining<\/strong> Banka ber a\u00f0 safna \u00f6llum fj\u00e1rhagslegum og \u00f3fj\u00e1rhagslegum g\u00f6gnum s\u00ednum \u00ed eitt sameina\u00f0 kerfi. \u00deessi a\u00f0fer\u00f0 stu\u00f0lar a\u00f0 heildst\u00e6\u00f0ari s\u00fdn \u00e1 heg\u00f0un vi\u00f0skiptavina og mynstur vi\u00f0skipta \u2013 me\u00f0 v\u00e9lan\u00e1m er h\u00e6gt a\u00f0, Greina svik<\/strong> og fr\u00e1vik n\u00e1kv\u00e6mar. Sam\u00fe\u00e6tting uppbygg\u00f0ra og \u00f3uppbygg\u00f0ra gagna dregur upp fl\u00f3kna vefur<\/a> sem hj\u00e1lpar til vi\u00f0 a\u00f0 afhj\u00fapa falnar sviksamar athafnir.<\/p>\n

Greina l\u00edfsferil fr\u00e1 upphafi til enda<\/h3>\n

V\u00f6ndu\u00f0 greining \u00e1 \u00f6llu l\u00edft\u00edmabili vi\u00f0skipta er \u00f6nnur nau\u00f0synleg a\u00f0fer\u00f0 \u00ed \u00feessu samhengi. Alhli\u00f0a sko\u00f0un gerir stofnunum kleift a\u00f0 greina veikleika \u2013 bil \u00fear sem innbrot illgjarnra a\u00f0ila eru l\u00edklegust. \u00deannig geta \u00fe\u00e6r tekist \u00e1 vi\u00f0 vandam\u00e1l \u00e1\u00f0ur en \u00feau \u00fer\u00f3ast \u00ed umfangsmikil \u00f6ryggisbrest.<\/p>\n

B\u00fa\u00f0u til svikah\u00e6ttuprofil<\/h3>\n

\u00d6nnur sta\u00f0la\u00f0 a\u00f0fer\u00f0 felur \u00ed s\u00e9r a\u00f0 b\u00faa til yfirgripsmikla svikah\u00e6ttuprofile fyrir vi\u00f0skiptavini \u00fe\u00edna me\u00f0 v\u00e9ln\u00e1msl\u00edk\u00f6num til a\u00f0 greina m\u00f6gulega svikavefi. \u00de\u00e6ttir sem venjulega eru teknir til greina fela me\u00f0al annars \u00ed s\u00e9r ey\u00f0sluvenjur, oft heims\u00f3tta sta\u00f0i og fleira. A\u00f0 beita \u00feessum l\u00edk\u00f6num gerir fj\u00e1rm\u00e1l<\/a> Geirar kortleggja heg\u00f0un sem er t\u00e1knr\u00e6n fyrir hvern vi\u00f0skiptavin. \u00deess vegna er au\u00f0velt a\u00f0 greina skyndilegar sveiflur sem m\u00f6guleg merki um \u00f3l\u00f6glega starfsemi.<\/p>\n

Fr\u00e6\u00f0a notendur<\/h3>\n

\u00der\u00e1tt fyrir a\u00f0 \u00fea\u00f0 kunni a\u00f0 hlj\u00f3ma hef\u00f0bundi\u00f0 \u00ed samanbur\u00f0i vi\u00f0 h\u00e1t\u00e6knilausnir eins og gervigreind og v\u00e9lan\u00e1m \u00ed forv\u00f6rnum gegn svikum, er fr\u00e6\u00f0sla notenda enn sem \u00e1\u00f0ur afar mikilv\u00e6g. Bankar ver\u00f0a a\u00f0 veita nau\u00f0synlegar lei\u00f0beiningar um hvernig vi\u00f0skiptavinir geta vari\u00f0 sig gegn algengum svindl- e\u00f0a phishingtilraunum. Gef\u00f0u \u00fe\u00e9r t\u00edma til a\u00f0 \u00fatsk\u00fdra hva\u00f0a \u00fe\u00e6ttir geta gert \u00fe\u00e1 a\u00f0 skotm\u00f6rkum. Me\u00f0 r\u00e9ttri fr\u00e6\u00f0slu ver\u00f0a vi\u00f0skiptavinirnir sj\u00e1lfir enn ein varnarlag gegn svikurum.<\/p>\n

Innlei\u00f0a st\u00f6\u00f0ugar endursko\u00f0anir og uppf\u00e6rslur<\/h3>\n

Kannski er einn grundvallara\u00f0fer\u00f0 a\u00f0 innlei\u00f0a st\u00f6\u00f0uga endursko\u00f0un samhli\u00f0a reglulegum uppf\u00e6rslum \u00e1 kerfum sem taka \u00fe\u00e1tt \u00ed v\u00e9lan\u00e1mst\u00e6kni til a\u00f0 greina svik. L\u00edk\u00f6n \u00e6ttu ekki a\u00f0 vera kyrrst\u00e6\u00f0. St\u00f6\u00f0ugur mat \u00e1 frammist\u00f6\u00f0u kerfisins er nau\u00f0synlegt ef \u00fe\u00fa vilt \u00edhuga n\u00fdjar grei\u00f0slua\u00f0fer\u00f0ir. svikagreining<\/strong> \u00der\u00f3anir og s\u00e9rkenni. A\u00f0 vera uppl\u00fdstur verndar ekki a\u00f0eins fj\u00e1rm\u00e1lastofnun \u00fe\u00edna gegn s\u00edfellt vaxandi svindlr\u00e6num \u00e1\u00e6tlunum, heldur styrkir einnig traust vi\u00f0skiptavina \u00feinna.<\/p>\n

Me\u00f0 \u00fev\u00ed a\u00f0 innlei\u00f0a \u00feessar a\u00f0fer\u00f0ir geta bankar n\u00fdtt v\u00e9lan\u00e1msekvar\u00f0ar<\/strong> a\u00f0 greina svik \u00e1 \u00e1hrifar\u00edkari h\u00e1tt\u2014h\u00e1marka m\u00f6guleika s\u00edna \u00e1 sama t\u00edma og l\u00e1gmarka innri \u00e1h\u00e6ttu. Bankakerfi\u00f0 sem f\u00e6st vi\u00f0 \u00feessu h\u00e1markar s\u00edna m\u00f6guleika \u00e1 sama t\u00edma og l\u00e1gmarkar innri \u00e1h\u00e6ttu. Greina svik<\/strong> sem myndi \u00e1 vi\u00f0eigandi h\u00e1tt vernda starfsemi \u00feeirra \u2013 og draga verulega \u00far vi\u00f0kv\u00e6mni fyrir sviks\u00f6mum \u00e1r\u00e1sum.<\/p>\n

\u00datlag\u00f0ur \u00e1 m\u00f3ti sta\u00f0bundinn Machine Learning svikagreining<\/h2>\n

Ein af \u00feeim mikilv\u00e6gustu \u00e1kv\u00f6r\u00f0unum sem banki \u00fearf a\u00f0 taka var\u00f0andi Svikagreining \u00ed bankastarfsemi<\/strong> A\u00f0 nota v\u00e9lan\u00e1m er hvort sem er a\u00f0 \u00fer\u00f3a eitt innanh\u00fass<\/a> (\u00c1 sta\u00f0num) lausn e\u00f0a \u00fatvista henni. B\u00e1\u00f0ar lausnirnar bj\u00f3\u00f0a upp \u00e1 s\u00edna kosti og m\u00f6gulega hindrun.<\/p>\n

Sta\u00f0bundin Machine Learning svikagreining<\/h2>\n

A\u00f0 innlei\u00f0a lausnir \u00e1 sta\u00f0num kann a\u00f0 gefa tilfinningu um fulla stj\u00f3rn, en \u00fea\u00f0 krefst fj\u00e1rfestingar, ekki einungis \u00ed peningum. S\u00e9rfr\u00e6\u00f0i\u00feekking \u00e1 svi\u00f0i st\u00f3rgagna, v\u00edsinda og gervigreindar er jafn mikilv\u00e6g fyrir \u00e1rangursr\u00edka kerfisstarfsemi.<\/p>\n

Stj\u00f3rnun gagna: A\u00f0 h\u00fdsa v\u00e9lan\u00e1mil\u00edkani\u00f0 \u00feitt \u00e1 sta\u00f0num tryggir \u00fe\u00e9r fulla stj\u00f3rn \u00e1 g\u00f6gnum \u00fe\u00ednum \u00e1n \u00feess a\u00f0 \u00feri\u00f0ju a\u00f0ilar komi a\u00f0 m\u00e1linu.<\/p>\n

A\u00f0l\u00f6gun: Innanh\u00fasslausnir bj\u00f3\u00f0a upp \u00e1 meiri m\u00f6guleika \u00e1 s\u00e9rsni\u00f0num stillingum og veita sveigjanleika til a\u00f0 m\u00f3ta l\u00edkani\u00f0 \u00ed samr\u00e6mi vi\u00f0 breytilegar \u00fearfir.<\/p>\n

Gagnavernd: Me\u00f0 innlei\u00f0ingu \u00e1 sta\u00f0num geta fj\u00e1rm\u00e1lastofnanir styrkt gagnaverndarkerfi s\u00edn til a\u00f0 vernda vi\u00f0kv\u00e6mar uppl\u00fdsingar og draga \u00far h\u00e1\u00f0ri af utana\u00f0komandi a\u00f0ilum.<\/p>\n

Hins vegar a\u00f0 byggja upp innanh\u00fass svikagreiningu li\u00f0<\/a> Krefst verulegra au\u00f0linda \u2013 h\u00e6fs vinnuafls sem \u00feekkir til gervigreindar og svikagreiningar \u00e1samt traustum innvi\u00f0um.<\/p>\n

\u00datvista\u00f0 Machine Learning svikagreiningu<\/h2>\n

Fyrir banka sem eru ekki eins hneig\u00f0ir til a\u00f0 \u00fer\u00f3a innanh\u00fass getu, outsourcing<\/a> svikagreining<\/strong> A\u00f0 nota v\u00e9lan\u00e1m veitir tafarlausan a\u00f0gang a\u00f0 s\u00e9rfr\u00e6\u00f0i\u00feekkingu \u00e1 m\u00f6gulega l\u00e6gri kostna\u00f0i:<\/p>\n

Flj\u00f3tleg innlei\u00f0ing: Ytri \u00fej\u00f3nusta fjarl\u00e6gir veseni\u00f0 vi\u00f0 a\u00f0 byrja fr\u00e1 grunni og uppbyggingart\u00edma, sem gerir b\u00f6nkum kleift a\u00f0 innlei\u00f0a fl\u00f3kin l\u00edk\u00f6n hratt.<\/p>\n

S\u00e9rfr\u00e6\u00f0ia\u00f0sto\u00f0: Stefnulegir samstarfsa\u00f0ilar veita almennt s\u00e9rfr\u00e6\u00f0ia\u00f0sto\u00f0 allan s\u00f3larhringinn, alla daga vikunnar, sem tryggir hn\u00f6kralausa virkni og skj\u00f3ta \u00farlausn vandam\u00e1la.<\/p>\n

Uppf\u00e6rslur og vi\u00f0haldsfylgni: Breytingar sem lei\u00f0a af reglufylgni e\u00f0a t\u00e6kniframf\u00f6rum er h\u00e6gt a\u00f0 stj\u00f3rna \u00e1 skilvirkan h\u00e1tt af birgjum sem uppf\u00e6ra kerfi s\u00edn reglulega.<\/p>\n

Enn sem komi\u00f0 er er \u00feessi n\u00e1lgun ekki laus vi\u00f0 \u00e1skoranir; \u00e1hyggjur af pers\u00f3nuvernd vi\u00f0skiptagagna aukast \u00feegar sl\u00edkar vi\u00f0kv\u00e6mar uppl\u00fdsingar berast til \u00feri\u00f0ja a\u00f0ila.<\/p>\n

Val \u00e1 milli \u00fatvistunar og innanh\u00fass innlei\u00f0ingar r\u00e6\u00f0st af \u00fdmsum \u00fe\u00e1ttum: fj\u00e1rhags\u00e1\u00e6tlun, fyrirhugu\u00f0um innlei\u00f0ingart\u00edma, t\u00e6knilegri getu tilt\u00e6kra starfsmanna og vi\u00f0unandi \u00e1h\u00e6ttu. Leitin a\u00f0 \u00fev\u00ed a\u00f0 berjast gegn yfirgn\u00e6fandi vandam\u00e1li svika me\u00f0 v\u00e9lan\u00e1m er stefnum\u00f3tandi fer\u00f0alag sem er sni\u00f0i\u00f0 a\u00f0 s\u00e9rt\u00e6kum \u00fe\u00f6rfum hvers fj\u00e1rm\u00e1lastofnunar.<\/p>\n

\u00c1skoranir Machine Learning \u00ed greiningu svika<\/h2>\n

\u00de\u00f3 a\u00f0 v\u00e9lan\u00e1m hafi gj\u00f6rbylt Greining \u00e1 kortasvikum<\/strong>, framkv\u00e6md \u00feess er \u00fe\u00f3 ekki \u00e1n nokkurra \u00e1skorana.<\/p>\n

\u00d3fulln\u00e6gjandi og \u00f3jafnv\u00e6gi g\u00f6gn<\/h3>\n

V\u00e9lan\u00e1m \u00fer\u00edfst \u00e1 n\u00e1kv\u00e6mlega merktum, umfangsmiklum og h\u00e1g\u00e6\u00f0a g\u00f6gnum til r\u00e9ttrar \u00fej\u00e1lfunar. \u00dev\u00ed mi\u00f0ur bj\u00f3\u00f0a flestar raunverulegar a\u00f0st\u00e6\u00f0ur upp \u00e1 \u00f3fulln\u00e6gjandi og \u00f3jafnv\u00e6gi gagnas\u00f6fn. \u00c9g kalla \u00feau \u00f3jafnv\u00e6gi vegna \u00feess a\u00f0 sviksamlegar a\u00f0ger\u00f0ir eru tilt\u00f6lulega sjaldg\u00e6far mi\u00f0a\u00f0 vi\u00f0 saklausar. \u00deetta gerir \u00fea\u00f0 fl\u00f3ki\u00f0 fyrir gervigreind og kerfi til a\u00f0 greina svik<\/strong> a\u00f0 vera \u00e1hrifar\u00edkt \u00fej\u00e1lfa\u00f0ur.<\/p>\n

T\u00edmfrettar \u00fej\u00e1lfunarstig<\/h3>\n

\u00d6nnur \u00e1skorunin er t\u00edmafrek e\u00f0li \u00fej\u00e1lfunarstigsins \u00ed v\u00e9lan\u00e1mstengdum ferlum til a\u00f0 greina svik. Til a\u00f0 n\u00e1 \u00e1rangri \u00feurfa \u00feessar ger\u00f0ir verulegan t\u00edma til a\u00f0 t\u00falka og l\u00e6ra af mynstrum \u00ed g\u00f6gnum\u2014\u00fe\u00e1tt sem flestar hra\u00f0ar i\u00f0na\u00f0argreinar geta ekki au\u00f0veldlega leyft s\u00e9r.<\/p>\n

F\u00f6lsk j\u00e1kv\u00e6\u00f0<\/h3>\n

M\u00e1li\u00f0 um falskar j\u00e1kv\u00e6\u00f0ar ni\u00f0urst\u00f6\u00f0ur er einnig til sta\u00f0ar \u00feegar fleiri g\u00f6gn eru til, innan svi\u00f0sins v\u00e9lan\u00e1msekvar\u00f0ar<\/strong> nota\u00f0 til svikagreining<\/strong> \u00ed bankastarfsemi og \u00f6\u00f0rum geirum. \u00deetta eru ekki sviksamlegar athafnir sem greiningaralgr\u00edmar hafa ranglega greint sem grunsamlegar e\u00f0a sviksamlegar \u2013 sem lei\u00f0ir til \u00f3\u00fearfa vi\u00f0v\u00f6rana og m\u00f6gulegrar \u00f3\u00e1n\u00e6gju vi\u00f0skiptavina.<\/p>\n

\u00der\u00f3un svindlart\u00e6kni<\/h3>\n

A\u00f0 lokum, en ekki s\u00ed\u00f0ur mikilv\u00e6gt, er s\u00edbreytileg e\u00f0li svikr\u00e1\u00f0a \u00e1berandi me\u00f0al takmarkana sem fylgja notkun \u00feessarar n\u00fdjustu lausnar til a\u00f0 greina vefs\u00ed\u00f0ur sem nota\u00f0ar eru til svika. Einfaldlega sagt ver\u00f0a gl\u00e6pamenn dag fr\u00e1 degi snjallari, me\u00f0 reglulega \u00fer\u00f3un \u00fdmissa a\u00f0fer\u00f0a til a\u00f0 blekkja n\u00faverandi \u00f6ryggiskerfi; \u00feannig \u00feurfa kerfisb\u00fana\u00f0ur og t\u00e6ki st\u00f6\u00f0ugt a\u00f0 elta uppi.<\/p>\n

\u00de\u00f3 a\u00f0 \u00feessar \u00e1skoranir kunni a\u00f0 hlj\u00f3ma \u00f3gnv\u00e6nlegar n\u00fana, leitast t\u00e6kni\u00fer\u00f3unin st\u00f6\u00f0ugt vi\u00f0 a\u00f0 finna bestu lausnirnar \u2013 sem gerir umb\u00e6tur me\u00f0 t\u00edmanum \u00f3hj\u00e1kv\u00e6milegar.<\/p>\n

\u00c1lyktun<\/h2>\n

\u00dar \u00feessari yfirgripsmiklu k\u00f6nnun \u00e1 svi\u00f0i v\u00e9ln\u00e1ms \u00ed bankasvikagreiningu h\u00f6fum vi\u00f0 uppg\u00f6tva\u00f0 heillandi umbreytingu. bankai\u00f0na\u00f0ur<\/strong> grei\u00f0slusvik<\/strong>, hefur \u00fer\u00f3ast fr\u00e1 hef\u00f0bundnum handvirkum a\u00f0fer\u00f0um yfir \u00ed h\u00e1\u00fer\u00f3u\u00f0 t\u00e6knistutt kerfi. \u00cd grundvallaratri\u00f0um hafa gervigreind og v\u00e9lan\u00e1m gj\u00f6rbylt \u00fev\u00ed hvernig stofnanir breg\u00f0ast vi\u00f0 \u00f6ryggisbrestum.<\/p>\n

Innlei\u00f0ing v\u00e9lan\u00e1m gegn svikum<\/strong> Greining b\u00fdr yfir fj\u00f6lm\u00f6rgum kostum. H\u00fan b\u00fd\u00f0ur upp \u00e1 traustar lausnir sem draga verulega \u00far t\u00ed\u00f0ni og \u00e1hrifum sviksamlegra athafna. \u00d3yggjandi hreyfing er \u00ed \u00e1tt a\u00f0 reikniritum sem geta l\u00e6rt af s\u00f6guleg g\u00f6gn<\/strong>, a\u00f0l\u00f6gun og sp\u00e1 fyrir um framt\u00ed\u00f0arfr\u00e1vik me\u00f0 \u00f3tr\u00falegri n\u00e1kv\u00e6mni.<\/p>\n

Vi\u00f0 k\u00f6nnu\u00f0um mismunandi ger\u00f0ir v\u00e9ln\u00e1msl\u00edkana: lei\u00f0beinandi, \u00f3lei\u00f0beinandi, h\u00e1lflei\u00f0beinandi og styrkingarn\u00e1m. Hvert \u00feeirra b\u00fd\u00f0ur upp \u00e1 einstaka m\u00f6guleika og kosti \u00feegar \u00fea\u00f0 er n\u00fdtt \u00e1 skilvirkan h\u00e1tt. Fr\u00e1 \u00fev\u00ed a\u00f0 tryggja a\u00f0 bankar uppfylli regluger\u00f0ir til a\u00f0 draga \u00far neikv\u00e6\u00f0um \u00e1hrifum misnotkunar b\u00f3nusa \u00ed iGaming \u2013 \u00feessar dj\u00fapn\u00e1msa\u00f0fer\u00f0ir reynast sannarlega umbreytandi.<\/p>\n

Hins vegar, jafnvel \u00fer\u00e1tt fyrir tilt\u00f6lulega velgengni, ver\u00f0a stofnanir a\u00f0 tileinka s\u00e9r tilteknar bestu starfsh\u00e6tti til a\u00f0 n\u00e1 sem bestum \u00e1rangri. Samruni og \u00edtarleg greining gagna \u00e6tti a\u00f0 m\u00f3ta allar \u00e1kvar\u00f0anat\u00f6kur fyrir innlei\u00f0ingu. A\u00f0 vi\u00f0halda st\u00f6\u00f0ugu endursko\u00f0unarkerfi er einnig mikilv\u00e6gt til a\u00f0 b\u00e6ta frammist\u00f6\u00f0u reiknirita me\u00f0 t\u00edmanum; svikamynstur breytist hratt, svo varnir okkar ver\u00f0a a\u00f0 breytast me\u00f0 \u00feeim.<\/p>\n

Vali\u00f0 milli outsourcing e\u00f0a \u00fer\u00f3unar sta\u00f0bundinnar lausnar vekur upp mikilv\u00e6gar spurningar, allt fr\u00e1 fj\u00e1rhagslegri sj\u00e1lfb\u00e6rni til a\u00f0 la\u00f0a a\u00f0 s\u00e9r h\u00e6fileika og stefnum\u00f3tandi samr\u00e6mingar vi\u00f0 vi\u00f0skiptamarkmi\u00f0. \u00d6ll fyrirt\u00e6ki geta tryggt sinn sess innan \u00feessara valkosta \u00fat fr\u00e1 s\u00ednum einst\u00f6ku a\u00f0st\u00e6\u00f0um.<\/p>\n

Eins og b\u00faast m\u00e1tti vi\u00f0 \u00ed hverri n\u00fdsk\u00f6punarfer\u00f0 eru \u00e1skoranir \u00e1 hverju horni; samspil fl\u00f3kinna eiginleika veldur innbygg\u00f0um vandam\u00e1lum \u00e1 lei\u00f0inni, en \u00feegar \u00feeim er komi\u00f0 vel \u00ed gegn lei\u00f0ir \u00fea\u00f0 til r\u00edkari l\u00edkana sem eru \u00feess vir\u00f0i a\u00f0 leggja \u00ed upphaflega fyrirh\u00f6fnina.<\/p>\n

A\u00f0 lokum er enginn vafi: a\u00f0 tileinka s\u00e9r gervigreind og v\u00e9lan\u00e1m \u00ed svikagreining<\/strong> leiddi ekki a\u00f0eins til verulegrar f\u00e6kkunar \u00ed sviksamleg atvik<\/strong> en getur hugsanlega b\u00e6tt rekstur \u00e1 \u00f6\u00f0rum svi\u00f0um l\u00edka og \u00feannig f\u00e6rt fyrirt\u00e6ki \u00e1 n\u00fdjar, n\u00fdst\u00e1rlegar v\u00edddir! Mundu \u00fe\u00f3 a\u00f0 \u00feetta sn\u00fdst ekki einfaldlega um a\u00f0 taka upp t\u00e6kni v\u00e9lan\u00e1m<\/strong> \u2013 heldur frekar a\u00f0 skilja fl\u00f3kna virkni \u00feess og s\u00e9rsn\u00ed\u00f0a \u00fea\u00f0 s\u00e9rstaklega til a\u00f0 m\u00e6ta \u00fe\u00f6rfum stofnunar \u00feinnar. \u00c1 \u00feennan h\u00e1tt geta bankar ekki einungis gert forsp\u00e1rgagnagreining<\/strong> a\u00f0 leysa upp svik<\/strong> en g\u00e6ti hugsanlega umbreytt \u00f6llu landslagi starfsemi \u00feeirra!<\/p>\n

Ennfremur, me\u00f0 \u00fev\u00ed a\u00f0 einbeita s\u00e9r a\u00f0 sviksamlegar f\u00e6rslur<\/strong>, me\u00f0 \u00fev\u00ed a\u00f0 n\u00fdta h\u00e1\u00fer\u00f3a\u00f0a t\u00e6kni \u00ed v\u00e9lan\u00e1mi<\/strong>, a\u00f0l\u00f6gun a\u00f0 s\u00e9rt\u00e6kum \u00fe\u00f6rfum bankai\u00f0na\u00f0ur<\/strong>, innlei\u00f0a traustan kerfi til a\u00f0 greina svik<\/strong>, \u00ed leit a\u00f0 n\u00fdst\u00e1rlegum lausnir til svikagreiningar<\/strong>, a\u00f0 beita dj\u00fapn\u00e1m<\/strong> a\u00f0fer\u00f0afr\u00e6\u00f0i, s\u00edfellt a\u00f0 meta frammista\u00f0a l\u00edkans<\/strong>, og \u00fer\u00f3a reiknirit til Greina mynstur<\/strong>, bankar geta verulega auki\u00f0 getu s\u00edna til a\u00f0 sp\u00e1 fyrir um og koma \u00ed veg fyrir svik<\/strong> \u00e1\u00f0ur en \u00fea\u00f0 gerist.<\/p>\n

Algengar spurningar<\/h2>\n

\u00cd tilraun til a\u00f0 takast \u00e1 vi\u00f0 nokkrar algengustu fyrirspurnirnar um Svikagreining \u00ed bankastarfsemi me\u00f0 v\u00e9lan\u00e1m<\/strong>, \u00c9g hef sett saman lista yfir algengar spurningar \u00e1samt \u00edtarlegum en hnitnum sv\u00f6rum \u00feeirra.<\/p>\n

Getur Machine Learning \u00ed raun komi\u00f0 \u00ed veg fyrir bankasvik?<\/h3>\n

Vissulega. Notkun gervigreindar og svikagreiningar hefur \u00fer\u00f3ast verulega \u00e1 undanf\u00f6rnum \u00e1rum, sem gerir \u00fea\u00f0 m\u00f6gulegt fyrir v\u00e9lan\u00e1msekvar\u00f0ar<\/strong> til a\u00f0 greina mynstur og fr\u00e1vik sem benda til sviksamlegra athafna hratt og \u00e1hrifar\u00edkt. Auk \u00feess umbreytir st\u00f6\u00f0ugur l\u00e6rd\u00f3mur af n\u00fdjum g\u00f6gnum \u00feessum kerfum \u00ed s\u00edfellt betri skj\u00f6ld gegn fj\u00e1rm\u00e1lagl\u00e6pum.<\/p>\n

Hver er munurinn \u00e1 st\u00fdr\u00f0um og \u00f3sst\u00fdr\u00f0um l\u00edk\u00f6num?<\/h3>\n

B\u00e1\u00f0ar eru mikilv\u00e6gar tegundir v\u00e9ln\u00e1ms sem nota\u00f0ar eru til a\u00f0 greina svik. Hins vegar eru \u00fe\u00e6r a\u00f0allega \u00f3l\u00edkar hva\u00f0 var\u00f0ar virknina. St\u00fdr\u00f0 n\u00e1msger\u00f0 felur \u00ed s\u00e9r a\u00f0 kenna kerfinu me\u00f0 \u00fev\u00ed a\u00f0 nota merkt gagnas\u00f6fn \u00fear sem b\u00e6\u00f0i inntaksg\u00f6gn og v\u00e6ntanleg \u00fatg\u00f6ngug\u00f6gn eru til sta\u00f0ar. \u00d3st\u00fdr\u00f0ar ger\u00f0ir vinna aftur \u00e1 m\u00f3ti me\u00f0 \u00f3merkt g\u00f6gn. \u00dej\u00e1lfunarg\u00f6gn<\/strong>, a\u00f0 greina l\u00edkindi og fr\u00e1vik me\u00f0 sj\u00e1lfsn\u00e1mi.<\/p>\n

Hvernig hj\u00e1lpar st\u00f6\u00f0ug endursko\u00f0un vi\u00f0 svikagreiningu \u00ed Machine Learning?<\/h3>\n

Samfelld endursko\u00f0un gegnir lykilhlutverki vi\u00f0 a\u00f0 tryggja a\u00f0 v\u00e9lan\u00e1mstengd ferlakerfi haldist uppf\u00e6r\u00f0 me\u00f0 s\u00edbreytilegum svindlh\u00e1ttum. H\u00fan au\u00f0veldar heildst\u00e6\u00f0a l\u00edft\u00edmagreiningu \u00e1 virkni kerfisins og lei\u00f0ir til reglulegra breytinga sem samr\u00e6mast n\u00fdjum straumum.<\/p>\n

Eru innanh\u00fass- e\u00f0a utanh\u00fasslausnir betri til a\u00f0 innlei\u00f0a Machine Learning svindlauppg\u00f6tvun?<\/h3>\n

Vali\u00f0 milli \u00fatvistunar og sta\u00f0bundinnar Machine Learning svikagreiningar liggur a\u00f0allega \u00ed s\u00e9rt\u00e6kum \u00fe\u00f6rfum stofnunar \u00feinnar. Ef \u00fe\u00fa hefur \u00farr\u00e6\u00f0i sem geta tekist \u00e1 vi\u00f0 fl\u00f3kin gagnav\u00edsindi<\/strong> Verkefni eins og a\u00f0 byggja upp v\u00e9lan\u00e1mger\u00f0ir geta reynst gefandi \u00e1 sta\u00f0num. Ytri team g\u00e6ti veri\u00f0 besta lausnin \u00feegar sl\u00edk f\u00e6rni skortir innan fyrirt\u00e6kisins.<\/p>\n

Hj\u00e1lpar \u00fea\u00f0 vi\u00f0 a\u00f0 draga \u00far svikum a\u00f0 fr\u00e6\u00f0a notendur?<\/h3>\n

Alveg r\u00e9tt! Notendamenntun er \u00f3metanlegur hluti af hverri traustari verndarstefnu gegn fj\u00e1rhagsv\u00edsunartilraunum sem fela \u00ed s\u00e9r gervigreind og svikagreiningarpalla. A\u00f0 efla me\u00f0vitund notenda um \u00f6rugga stafr\u00e6na heg\u00f0un skiptir sk\u00f6pum til a\u00f0 auka \u00f6ryggi reikninga almennt.<\/p>\n

Machine Learning er sannarlega a\u00f0 skapa \u00f6ldur sem brautry\u00f0jandi lausn til a\u00f0 breg\u00f0ast vi\u00f0 fj\u00e1rm\u00e1lasvik<\/strong>. Haltum \u00e1fram a\u00f0 r\u00ed\u00f0a \u00e1 \u00feessari bylgju til a\u00f0 skapa \u00f6ruggara fj\u00e1rm\u00e1larumhverfi fyrir alla.<\/p>\n

\"\"<\/a><\/p>","protected":false},"excerpt":{"rendered":"

Kanna\u00f0u byltingarkennda hlutverk v\u00e9lan\u00e1m \u00ed bar\u00e1ttunni gegn svikum \u2013 lykillinn \u00feinn a\u00f0 \u00f6ruggri bankavi\u00f0skiptum. Uppg\u00f6tva\u00f0u \u2018svikagreiningu \u00ed bankavi\u00f0skiptum me\u00f0 v\u00e9lan\u00e1mi\u2019 \u00ed dag.<\/p>","protected":false},"author":2,"featured_media":3055,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[4],"tags":[32],"class_list":["post-3054","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-enterprise-scaleups-solutions","tag-fintech"],"acf":[],"yoast_head":"\nBanks Go High-Tech: Unravel Fraud with Machine Learning - The Codest<\/title>\n<meta name=\"description\" content=\"Learn how machine learning is transforming bank fraud detection, from real-time pattern analysis to adaptive models that stop fraud before it harms customers and institutions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/thecodest.co\/is\/blogg\/bankar-beita-hathroadri-taekni-til-ad-uppraeta-svik-med-velanami\/\" \/>\n<meta property=\"og:locale\" content=\"is_IS\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Banks Go High-Tech: Unravel Fraud with Machine Learning\" \/>\n<meta property=\"og:description\" content=\"Learn how machine learning is transforming bank fraud detection, from real-time pattern analysis to adaptive models that stop fraud before it harms customers and institutions.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/thecodest.co\/is\/blogg\/bankar-beita-hathroadri-taekni-til-ad-uppraeta-svik-med-velanami\/\" \/>\n<meta property=\"og:site_name\" content=\"The Codest\" \/>\n<meta property=\"article:published_time\" content=\"2023-10-02T10:52:54+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-02-10T13:28:31+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/thecodest.co\/app\/uploads\/2024\/05\/machine_learning_in_banking_fraud_detection__a_game-changer.png\" \/>\n\t<meta property=\"og:image:width\" content=\"960\" \/>\n\t<meta property=\"og:image:height\" content=\"540\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"thecodest\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"thecodest\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"15 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/thecodest.co\\\/blog\\\/banks-go-high-tech-unravel-fraud-with-machine-learning\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/thecodest.co\\\/blog\\\/banks-go-high-tech-unravel-fraud-with-machine-learning\\\/\"},\"author\":{\"name\":\"thecodest\",\"@id\":\"https:\\\/\\\/thecodest.co\\\/#\\\/schema\\\/person\\\/7e3fe41dfa4f4e41a7baad4c6e0d4f76\"},\"headline\":\"Banks Go High-Tech: Unravel Fraud with Machine Learning\",\"datePublished\":\"2023-10-02T10:52:54+00:00\",\"dateModified\":\"2026-02-10T13:28:31+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/thecodest.co\\\/blog\\\/banks-go-high-tech-unravel-fraud-with-machine-learning\\\/\"},\"wordCount\":3328,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/thecodest.co\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/thecodest.co\\\/blog\\\/banks-go-high-tech-unravel-fraud-with-machine-learning\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/thecodest.co\\\/app\\\/uploads\\\/2024\\\/05\\\/machine_learning_in_banking_fraud_detection__a_game-changer.png\",\"keywords\":[\"Fintech\"],\"articleSection\":[\"Enterprise & Scaleups Solutions\"],\"inLanguage\":\"is\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/thecodest.co\\\/blog\\\/banks-go-high-tech-unravel-fraud-with-machine-learning\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/thecodest.co\\\/blog\\\/banks-go-high-tech-unravel-fraud-with-machine-learning\\\/\",\"url\":\"https:\\\/\\\/thecodest.co\\\/blog\\\/banks-go-high-tech-unravel-fraud-with-machine-learning\\\/\",\"name\":\"Banks Go High-Tech: Unravel Fraud with Machine Learning - The Codest\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/thecodest.co\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/thecodest.co\\\/blog\\\/banks-go-high-tech-unravel-fraud-with-machine-learning\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/thecodest.co\\\/blog\\\/banks-go-high-tech-unravel-fraud-with-machine-learning\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/thecodest.co\\\/app\\\/uploads\\\/2024\\\/05\\\/machine_learning_in_banking_fraud_detection__a_game-changer.png\",\"datePublished\":\"2023-10-02T10:52:54+00:00\",\"dateModified\":\"2026-02-10T13:28:31+00:00\",\"description\":\"Learn how machine learning is transforming bank fraud detection, from real-time pattern analysis to adaptive models that stop fraud before it harms customers and institutions.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/thecodest.co\\\/blog\\\/banks-go-high-tech-unravel-fraud-with-machine-learning\\\/#breadcrumb\"},\"inLanguage\":\"is\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/thecodest.co\\\/blog\\\/banks-go-high-tech-unravel-fraud-with-machine-learning\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"is\",\"@id\":\"https:\\\/\\\/thecodest.co\\\/blog\\\/banks-go-high-tech-unravel-fraud-with-machine-learning\\\/#primaryimage\",\"url\":\"https:\\\/\\\/thecodest.co\\\/app\\\/uploads\\\/2024\\\/05\\\/machine_learning_in_banking_fraud_detection__a_game-changer.png\",\"contentUrl\":\"https:\\\/\\\/thecodest.co\\\/app\\\/uploads\\\/2024\\\/05\\\/machine_learning_in_banking_fraud_detection__a_game-changer.png\",\"width\":960,\"height\":540},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/thecodest.co\\\/blog\\\/banks-go-high-tech-unravel-fraud-with-machine-learning\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/thecodest.co\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Banks Go High-Tech: Unravel Fraud with Machine Learning\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/thecodest.co\\\/#website\",\"url\":\"https:\\\/\\\/thecodest.co\\\/\",\"name\":\"The Codest\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/thecodest.co\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/thecodest.co\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"is\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/thecodest.co\\\/#organization\",\"name\":\"The Codest\",\"url\":\"https:\\\/\\\/thecodest.co\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"is\",\"@id\":\"https:\\\/\\\/thecodest.co\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/thecodest.co\\\/app\\\/uploads\\\/2024\\\/03\\\/thecodest-logo.svg\",\"contentUrl\":\"https:\\\/\\\/thecodest.co\\\/app\\\/uploads\\\/2024\\\/03\\\/thecodest-logo.svg\",\"width\":144,\"height\":36,\"caption\":\"The Codest\"},\"image\":{\"@id\":\"https:\\\/\\\/thecodest.co\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/pl.linkedin.com\\\/company\\\/codest\",\"https:\\\/\\\/clutch.co\\\/profile\\\/codest\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/thecodest.co\\\/#\\\/schema\\\/person\\\/7e3fe41dfa4f4e41a7baad4c6e0d4f76\",\"name\":\"thecodest\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"is\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/5dbfe6a1e8c86e432e8812759e34e6fe82ebac75119ae3237a6c1311fa19caf4?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/5dbfe6a1e8c86e432e8812759e34e6fe82ebac75119ae3237a6c1311fa19caf4?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/5dbfe6a1e8c86e432e8812759e34e6fe82ebac75119ae3237a6c1311fa19caf4?s=96&d=mm&r=g\",\"caption\":\"thecodest\"},\"url\":\"https:\\\/\\\/thecodest.co\\\/is\\\/author\\\/thecodest\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Bankar fara \u00ed h\u00e1t\u00e6kni: Leysa svik me\u00f0 Machine Learning - The Codest","description":"L\u00e6r\u00f0u hvernig v\u00e9lan\u00e1m er a\u00f0 umbreyta greiningu bankasvikanna, fr\u00e1 raunt\u00edmagreiningu mynstura til a\u00f0l\u00f6gunarh\u00e6fra l\u00edkana sem st\u00f6\u00f0va svik \u00e1\u00f0ur en \u00feau ska\u00f0a vi\u00f0skiptavini og stofnanir.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/thecodest.co\/is\/blogg\/bankar-beita-hathroadri-taekni-til-ad-uppraeta-svik-med-velanami\/","og_locale":"is_IS","og_type":"article","og_title":"Banks Go High-Tech: Unravel Fraud with Machine Learning","og_description":"Learn how machine learning is transforming bank fraud detection, from real-time pattern analysis to adaptive models that stop fraud before it harms customers and institutions.","og_url":"https:\/\/thecodest.co\/is\/blogg\/bankar-beita-hathroadri-taekni-til-ad-uppraeta-svik-med-velanami\/","og_site_name":"The Codest","article_published_time":"2023-10-02T10:52:54+00:00","article_modified_time":"2026-02-10T13:28:31+00:00","og_image":[{"width":960,"height":540,"url":"https:\/\/thecodest.co\/app\/uploads\/2024\/05\/machine_learning_in_banking_fraud_detection__a_game-changer.png","type":"image\/png"}],"author":"thecodest","twitter_card":"summary_large_image","twitter_misc":{"Written by":"thecodest","Est. reading time":"15 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/thecodest.co\/blog\/banks-go-high-tech-unravel-fraud-with-machine-learning\/#article","isPartOf":{"@id":"https:\/\/thecodest.co\/blog\/banks-go-high-tech-unravel-fraud-with-machine-learning\/"},"author":{"name":"thecodest","@id":"https:\/\/thecodest.co\/#\/schema\/person\/7e3fe41dfa4f4e41a7baad4c6e0d4f76"},"headline":"Banks Go High-Tech: Unravel Fraud with Machine Learning","datePublished":"2023-10-02T10:52:54+00:00","dateModified":"2026-02-10T13:28:31+00:00","mainEntityOfPage":{"@id":"https:\/\/thecodest.co\/blog\/banks-go-high-tech-unravel-fraud-with-machine-learning\/"},"wordCount":3328,"commentCount":0,"publisher":{"@id":"https:\/\/thecodest.co\/#organization"},"image":{"@id":"https:\/\/thecodest.co\/blog\/banks-go-high-tech-unravel-fraud-with-machine-learning\/#primaryimage"},"thumbnailUrl":"https:\/\/thecodest.co\/app\/uploads\/2024\/05\/machine_learning_in_banking_fraud_detection__a_game-changer.png","keywords":["Fintech"],"articleSection":["Enterprise & Scaleups Solutions"],"inLanguage":"is","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/thecodest.co\/blog\/banks-go-high-tech-unravel-fraud-with-machine-learning\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/thecodest.co\/blog\/banks-go-high-tech-unravel-fraud-with-machine-learning\/","url":"https:\/\/thecodest.co\/blog\/banks-go-high-tech-unravel-fraud-with-machine-learning\/","name":"Bankar fara \u00ed h\u00e1t\u00e6kni: Leysa svik me\u00f0 Machine Learning - The Codest","isPartOf":{"@id":"https:\/\/thecodest.co\/#website"},"primaryImageOfPage":{"@id":"https:\/\/thecodest.co\/blog\/banks-go-high-tech-unravel-fraud-with-machine-learning\/#primaryimage"},"image":{"@id":"https:\/\/thecodest.co\/blog\/banks-go-high-tech-unravel-fraud-with-machine-learning\/#primaryimage"},"thumbnailUrl":"https:\/\/thecodest.co\/app\/uploads\/2024\/05\/machine_learning_in_banking_fraud_detection__a_game-changer.png","datePublished":"2023-10-02T10:52:54+00:00","dateModified":"2026-02-10T13:28:31+00:00","description":"L\u00e6r\u00f0u hvernig v\u00e9lan\u00e1m er a\u00f0 umbreyta greiningu bankasvikanna, fr\u00e1 raunt\u00edmagreiningu mynstura til a\u00f0l\u00f6gunarh\u00e6fra l\u00edkana sem st\u00f6\u00f0va svik \u00e1\u00f0ur en \u00feau ska\u00f0a vi\u00f0skiptavini og stofnanir.","breadcrumb":{"@id":"https:\/\/thecodest.co\/blog\/banks-go-high-tech-unravel-fraud-with-machine-learning\/#breadcrumb"},"inLanguage":"is","potentialAction":[{"@type":"ReadAction","target":["https:\/\/thecodest.co\/blog\/banks-go-high-tech-unravel-fraud-with-machine-learning\/"]}]},{"@type":"ImageObject","inLanguage":"is","@id":"https:\/\/thecodest.co\/blog\/banks-go-high-tech-unravel-fraud-with-machine-learning\/#primaryimage","url":"https:\/\/thecodest.co\/app\/uploads\/2024\/05\/machine_learning_in_banking_fraud_detection__a_game-changer.png","contentUrl":"https:\/\/thecodest.co\/app\/uploads\/2024\/05\/machine_learning_in_banking_fraud_detection__a_game-changer.png","width":960,"height":540},{"@type":"BreadcrumbList","@id":"https:\/\/thecodest.co\/blog\/banks-go-high-tech-unravel-fraud-with-machine-learning\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/thecodest.co\/"},{"@type":"ListItem","position":2,"name":"Banks Go High-Tech: Unravel Fraud with Machine Learning"}]},{"@type":"WebSite","@id":"https:\/\/thecodest.co\/#website","url":"https:\/\/thecodest.co\/","name":"The Codest","description":"","publisher":{"@id":"https:\/\/thecodest.co\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/thecodest.co\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"is"},{"@type":"Organization","@id":"https:\/\/thecodest.co\/#organization","name":"The Codest","url":"https:\/\/thecodest.co\/","logo":{"@type":"ImageObject","inLanguage":"is","@id":"https:\/\/thecodest.co\/#\/schema\/logo\/image\/","url":"https:\/\/thecodest.co\/app\/uploads\/2024\/03\/thecodest-logo.svg","contentUrl":"https:\/\/thecodest.co\/app\/uploads\/2024\/03\/thecodest-logo.svg","width":144,"height":36,"caption":"The Codest"},"image":{"@id":"https:\/\/thecodest.co\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/pl.linkedin.com\/company\/codest","https:\/\/clutch.co\/profile\/codest"]},{"@type":"Person","@id":"https:\/\/thecodest.co\/#\/schema\/person\/7e3fe41dfa4f4e41a7baad4c6e0d4f76","name":"thecodest","image":{"@type":"ImageObject","inLanguage":"is","@id":"https:\/\/secure.gravatar.com\/avatar\/5dbfe6a1e8c86e432e8812759e34e6fe82ebac75119ae3237a6c1311fa19caf4?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/5dbfe6a1e8c86e432e8812759e34e6fe82ebac75119ae3237a6c1311fa19caf4?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/5dbfe6a1e8c86e432e8812759e34e6fe82ebac75119ae3237a6c1311fa19caf4?s=96&d=mm&r=g","caption":"thecodest"},"url":"https:\/\/thecodest.co\/is\/author\/thecodest\/"}]}},"_links":{"self":[{"href":"https:\/\/thecodest.co\/is\/wp-json\/wp\/v2\/posts\/3054","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/thecodest.co\/is\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/thecodest.co\/is\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/thecodest.co\/is\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/thecodest.co\/is\/wp-json\/wp\/v2\/comments?post=3054"}],"version-history":[{"count":4,"href":"https:\/\/thecodest.co\/is\/wp-json\/wp\/v2\/posts\/3054\/revisions"}],"predecessor-version":[{"id":8463,"href":"https:\/\/thecodest.co\/is\/wp-json\/wp\/v2\/posts\/3054\/revisions\/8463"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/thecodest.co\/is\/wp-json\/wp\/v2\/media\/3055"}],"wp:attachment":[{"href":"https:\/\/thecodest.co\/is\/wp-json\/wp\/v2\/media?parent=3054"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thecodest.co\/is\/wp-json\/wp\/v2\/categories?post=3054"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thecodest.co\/is\/wp-json\/wp\/v2\/tags?post=3054"}],"curies":[{"name":"vp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}