{"id":5093,"date":"2026-01-14T14:31:02","date_gmt":"2026-01-14T14:31:02","guid":{"rendered":"https:\/\/securitybriefing.net\/?p=5093"},"modified":"2026-01-14T14:31:04","modified_gmt":"2026-01-14T14:31:04","slug":"megallithatja-e-a-mesterseges-intelligencia-az-online-csalas-kovetkezo-hullamat","status":"publish","type":"post","link":"https:\/\/securitybriefing.net\/hu\/kiberfenyegetesek\/megallithatja-e-a-mesterseges-intelligencia-az-online-csalas-kovetkezo-hullamat\/","title":{"rendered":"Meg\u00e1ll\u00edthatja-e a mesters\u00e9ges intelligencia a k\u00f6vetkez\u0151 online csal\u00e1shull\u00e1mot?"},"content":{"rendered":"

Az online csal\u00e1s egyre \u00f6sszetettebb\u00e9 v\u00e1lik, \u00e9s a hagyom\u00e1nyos rendszerek nehezen tudnak l\u00e9p\u00e9st tartani. Ez\u00e9rt most a mesters\u00e9ges intelligenci\u00e1t tesztelik, hogy bez\u00e1rj\u00e1k ezt a r\u00e9st az\u00e1ltal, hogy nagy mennyis\u00e9g\u0171 adatot vizsg\u00e1lnak, szokatlan viselked\u00e9st \u00e9szlelnek, \u00e9s meg\u00e1ll\u00edtj\u00e1k a fenyeget\u00e9seket, miel\u0151tt elterjedn\u00e9nek. <\/p>\n\n\n\n

De ugyanazokat az eszk\u00f6z\u00f6ket fel lehet haszn\u00e1lni megt\u00e9veszt\u00e9sre is, nem csak v\u00e9dekez\u00e9sre. A kih\u00edv\u00e1s most az, hogy meg\u00e9rts\u00fck, hogyan alkalmazz\u00e1k a mesters\u00e9ges intelligenci\u00e1t, hol bizonyul hat\u00e9konynak, \u00e9s hol jelennek meg \u00faj kock\u00e1zatok.<\/p>\n\n\n

A mesters\u00e9ges intelligencia nagyon hasznos lehet a kiberb\u0171n\u00f6z\u00e9s megel\u0151z\u00e9s\u00e9ben<\/h2>\n\n\n

A mesters\u00e9ges intelligenci\u00e1t egyre ink\u00e1bb haszn\u00e1lj\u00e1k a kiberb\u0171n\u00f6z\u00e9s felder\u00edt\u00e9s\u00e9re \u00e9s korl\u00e1toz\u00e1s\u00e1ra. Nagy mennyis\u00e9g\u0171 tev\u00e9kenys\u00e9get vizsg\u00e1l \u00e1t, \u00e9s azonos\u00edtja azokat a mint\u00e1kat, amelyek k\u00edv\u00fcl esnek a norm\u00e1l viselked\u00e9sen. Ez lehet\u0151v\u00e9 teszi a fenyeget\u00e9sek korai jelz\u00e9s\u00e9t, gyakran m\u00e9g azel\u0151tt, hogy k\u00e1r keletkezne. Id\u0151vel a mesters\u00e9ges intelligencia rendszerek javulnak, ahogy tanulnak a meger\u0151s\u00edtett esetekb\u0151l.<\/p>\n\n\n\n

A bankok a mesters\u00e9ges intelligenci\u00e1ra t\u00e1maszkodnak a tranzakci\u00f3k val\u00f3s idej\u0171 nyomon k\u00f6vet\u00e9s\u00e9re. Amikor az \u00e1tutal\u00e1sok nem egyeznek az adott sz\u00e1mla t\u00f6rt\u00e9net\u00e9vel vagy hely\u00e9vel, a rendszerek sz\u00fcneteltethetik a tev\u00e9kenys\u00e9get \u00e9s tov\u00e1bbi ellen\u0151rz\u00e9seket k\u00e9rhetnek. <\/p>\n\n\n\n

Egy m\u00e1sik ipar\u00e1g, ahol a mesters\u00e9ges intelligencia sz\u00e9lesebb k\u00f6r\u0171 haszn\u00e1lata hat\u00e9kony lehet, az online szerencsej\u00e1t\u00e9k<\/a>. A platformok elemzik a fogad\u00e1si viselked\u00e9st, a sz\u00e1mlamozg\u00e1sokat \u00e9s a tranzakci\u00f3k id\u0151z\u00edt\u00e9s\u00e9t, hogy azonos\u00edts\u00e1k a vissza\u00e9l\u00e9s vagy a p\u00e9nz\u00fcgyi manipul\u00e1ci\u00f3 jeleit. Ezek az eszk\u00f6z\u00f6k seg\u00edtenek a csapatoknak a magas kock\u00e1zat\u00fa tev\u00e9kenys\u00e9gekre \u00f6sszpontos\u00edtani \u00e9s cselekedni, miel\u0151tt a probl\u00e9m\u00e1k elterjedn\u00e9nek.<\/p>\n\n\n\n

A kiskereskedelmi platformok hasonl\u00f3 m\u00f3dszereket alkalmaznak. A mesters\u00e9ges intelligencia rendszerek azonos\u00edtj\u00e1k a hamis \u00e9rt\u00e9kel\u00e9seket, az ism\u00e9telt fi\u00f3khozz\u00e1f\u00e9r\u00e9si k\u00eds\u00e9rleteket \u00e9s a szokatlan v\u00e1s\u00e1rl\u00e1si mint\u00e1kat. Ez er\u0151s\u00edti a biztons\u00e1got, cs\u00f6kkenti a csal\u00e1ssal kapcsolatos k\u00f6lts\u00e9geket, \u00e9s fenntartja a bizalmat az elad\u00f3k \u00e9s a v\u00e1s\u00e1rl\u00f3k k\u00f6z\u00f6tt.<\/p>\n\n\n

Csal\u00e1s felismer\u00e9se val\u00f3s k\u00f6r\u00fclm\u00e9nyek k\u00f6z\u00f6tt<\/h2>\n\n\n

A mesters\u00e9ges intelligencia rendszerek a viselked\u00e9s feldolgoz\u00e1s\u00e1val \u00e9szlelik a csal\u00e1st, nem pedig r\u00f6gz\u00edtett szab\u00e1lyokra t\u00e1maszkodva. Elemzik a bejelentkez\u00e9si mint\u00e1kat, az eszk\u00f6zjelek, a tranzakci\u00f3k id\u0151z\u00edt\u00e9s\u00e9t \u00e9s a haszn\u00e1lati szok\u00e1sokat, hogy meg\u00e1llap\u00edts\u00e1k, mi sz\u00e1m\u00edt norm\u00e1l tev\u00e9kenys\u00e9gnek.<\/p>\n\n\n\n

Miut\u00e1n ez az alapvonal be\u00e1ll\u00edt\u00e1sra ker\u00fclt, az elt\u00e9r\u00e9sek k\u00f6nnyebben \u00e9szlelhet\u0151k. A g\u00e9pi tanul\u00e1si modellek javulnak, amikor meger\u0151s\u00edtett csal\u00e1si esetekkel tal\u00e1lkoznak, \u00e9s a taktik\u00e1k v\u00e1ltoz\u00e1s\u00e1val m\u00f3dos\u00edtj\u00e1k k\u00fcsz\u00f6b\u00e9rt\u00e9keiket.<\/p>\n\n\n\n

Val\u00f3s k\u00f6rnyezetben ezek a rendszerek ritk\u00e1n m\u0171k\u00f6dnek egyed\u00fcl. A mesters\u00e9ges intelligenci\u00e1t gyakran p\u00e1ros\u00edtj\u00e1k olyan eszk\u00f6z\u00f6kkel, mint a biometrikus hiteles\u00edt\u00e9s<\/a> vagy a viselked\u00e9si pontoz\u00e1s. Egy\u00fctt teljesebb k\u00e9pet alkotnak a felhaszn\u00e1l\u00f3i tev\u00e9kenys\u00e9gr\u0151l t\u00f6bb munkamenet sor\u00e1n. Amikor a viselked\u00e9s olyan m\u00f3don v\u00e1ltozik, ami nem illeszkedik a kor\u00e1bbi mint\u00e1khoz, a riaszt\u00e1sok kor\u00e1n aktiv\u00e1l\u00f3dnak. Ez lehet\u0151v\u00e9 teszi a csapatok sz\u00e1m\u00e1ra, hogy beavatkozzanak, miel\u0151tt a k\u00e1r elterjedne.<\/p>\n\n\n

De a b\u0171n\u00f6z\u0151k is haszn\u00e1lhatj\u00e1k a mesters\u00e9ges intelligenci\u00e1t<\/h2>\n\n\n

Ugyanaz a technol\u00f3gia, amely er\u0151s\u00edti a biztons\u00e1got, felhaszn\u00e1lhat\u00f3 annak megker\u00fcl\u00e9s\u00e9re is. A csal\u00f3k most a mesters\u00e9ges intelligenci\u00e1ra t\u00e1maszkodnak, hogy olyan adathal\u00e1sz \u00fczeneteket k\u00e9sz\u00edtsenek, amelyek szorosan hasonl\u00edtanak a val\u00f3s kommunik\u00e1ci\u00f3ra. Ezek az \u00fczenetek gyakran tartalmaznak kisziv\u00e1rgott adatokb\u00f3l sz\u00e1rmaz\u00f3 szem\u00e9lyes adatokat, ami megnehez\u00edti, hogy nyilv\u00e1nval\u00f3 csal\u00e1sk\u00e9nt elutas\u00edts\u00e1k \u0151ket.<\/p>\n\n\n\n

A hangszint\u00e9zis egy \u00fajabb kock\u00e1zati r\u00e9teget adott hozz\u00e1. A csal\u00f3k k\u00e9pesek \u00fajraalkotni egy ismert szem\u00e9ly hangj\u00e1t, \u00e9s felhaszn\u00e1lni azt, hogy gyors d\u00f6nt\u00e9sekre k\u00e9nyszer\u00edts\u00e9k az \u00e1ldozatokat, gyakran fizet\u00e9sekkel vagy hozz\u00e1f\u00e9r\u00e9si hiteles\u00edt\u0151 adatokkal kapcsolatban. <\/p>\n\n\n\n

A vizu\u00e1lis megt\u00e9veszt\u00e9s ugyanazt az utat k\u00f6vette. Deepfake vide\u00f3kat haszn\u00e1lnak, hogy hamis tekint\u00e9ly\u00e9rzetet keltsenek, ak\u00e1r hamis t\u00e1mogat\u00e1sok, ak\u00e1r kital\u00e1lt bejelent\u00e9sek r\u00e9v\u00e9n. Ezzel p\u00e1rhuzamosan a szintetikus identit\u00e1sok val\u00f3s \u00e9s mesters\u00e9ges adatokat kombin\u00e1lnak, hogy \u00e1tjussanak a hiteles\u00edt\u00e9si rendszereken. A mesters\u00e9ges intelligencia felgyors\u00edtja ezt a folyamatot az\u00e1ltal, hogy olyan v\u00e1ltozatokat gener\u00e1l, amelyek elker\u00fclik a felismer\u00e9st.<\/p>\n\n\n\n

Ezeknek a m\u00f3dszereknek a felismer\u00e9se kritikus fontoss\u00e1g\u00fa. A v\u00e9dekez\u00e9snek ugyanolyan gyorsan \u00e9s rugalmasan kell fejl\u0151dnie, mint azoknak a fenyeget\u00e9seknek, amelyekkel szemben\u00e9znek.<\/p>\n\n\n

A mesters\u00e9ges intelligencia akkor m\u0171k\u00f6dik a legjobban, ha az emberek tudj\u00e1k, hogyan kell haszn\u00e1lni<\/h2>\n\n\n

A mesters\u00e9ges intelligencia t\u00f6bb adatot tud feldolgozni, mint b\u00e1rmely csapat, de nem tudja \u00e1tgondolni a k\u00f6vetkezm\u00e9nyeket. A leghat\u00e9konyabb rendszerek azok, amelyeket olyan emberek ir\u00e1ny\u00edtanak, akik \u00e9rtik, mit csin\u00e1l a technol\u00f3gia, \u00e9s mikor kell megk\u00e9rd\u0151jelezni azt. Emberi r\u00e9teg n\u00e9lk\u00fcl m\u00e9g a legjobb eszk\u00f6z\u00f6k is rossz d\u00f6nt\u00e9st hozhatnak. hat\u00e9kony rendszerek<\/a> A k\u00e9pz\u00e9s sz\u00e1m\u00edt. Amikor a csapatoknak megmutatj\u00e1k, hogyan hoz d\u00f6nt\u00e9seket a mesters\u00e9ges intelligencia, magabiztosabbak annak haszn\u00e1lat\u00e1ban, \u00e9s jobban felk\u00e9sz\u00fcltek arra, hogy beavatkozzanak, amikor valami nem stimmel. A vil\u00e1gos szerepek, a megfelel\u0151 ellen\u0151rz\u00e9sek \u00e9s a folyamatos fel\u00fcgyelet biztos\u00edtj\u00e1k, hogy a rendszer a tervek szerint m\u0171k\u00f6dj\u00f6n.<\/p>\n\n\n\n

A fenyeget\u00e9si k\u00f6rnyezet folyamatosan v\u00e1ltozik. A mesters\u00e9ges intelligencia el\u0151nyt biztos\u00edt a biztons\u00e1gi csapatoknak, de az emberek tartj\u00e1k a dolgokat a f\u00f6ld\u00f6n. V\u00e9g\u00fcl nem arr\u00f3l van sz\u00f3, hogy v\u00e1lasztani kellene az emberi \u00edt\u00e9l\u0151k\u00e9pess\u00e9g \u00e9s az automatiz\u00e1l\u00e1s k\u00f6z\u00f6tt. Arr\u00f3l van sz\u00f3, hogy olyan rendszereket \u00e9p\u00edts\u00fcnk, ahol mindkett\u0151 jelen van, \u00e9s egyik sincs mag\u00e1ra hagyva.<\/p>\n\n\n\n

A fenyegetetts\u00e9gi k\u00f6rnyezet folyamatosan v\u00e1ltozik. Az MI el\u0151nyt biztos\u00edt a biztons\u00e1gi csapatoknak, de az emberek azok, akik a dolgokat a f\u00f6ld\u00f6n tartj\u00e1k. V\u00e9g\u00fcl nem arr\u00f3l van sz\u00f3, hogy az emberi \u00edt\u00e9l\u0151k\u00e9pess\u00e9g \u00e9s az automatiz\u00e1l\u00e1s k\u00f6z\u00f6tt kell v\u00e1lasztani. Arr\u00f3l van sz\u00f3, hogy olyan rendszereket \u00e9p\u00edts\u00fcnk, ahol mindkett\u0151 jelen van, \u00e9s egyik sincs mag\u00e1ra hagyva.<\/p>\n\n\n\n

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

Online fraud is becoming more complex, and traditional systems are struggling to keep up. So, artificial intelligence is now being tested to close that gap by scanning large volumes of\u2026 Folytat\u00e1s Meg\u00e1ll\u00edthatja-e a mesters\u00e9ges intelligencia a k\u00f6vetkez\u0151 online csal\u00e1shull\u00e1mot?<\/span><\/a><\/p>","protected":false},"author":3,"featured_media":5094,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14],"tags":[],"class_list":["post-5093","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cyber-threats","entry"],"yoast_head":"\nCan Artificial Intelligence Stop the Next Wave of Online Fraud?<\/title>\n<meta name=\"description\" content=\"Explore how artificial intelligence is being used to detect online fraud, prevent cybercrime, and how criminals are also using AI to bypass security systems.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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