{"id":998044,"date":"2026-03-23T14:11:36","date_gmt":"2026-03-23T11:11:36","guid":{"rendered":"https:\/\/www.morten.com.tr\/?p=998044"},"modified":"2026-03-23T14:52:25","modified_gmt":"2026-03-23T11:52:25","slug":"yapay-zeka-stratejilerinde-cogu-turk-bankasinin-fark-etmedigi-guvenlik-acigi","status":"publish","type":"post","link":"https:\/\/www.morten.com.tr\/en\/yapay-zeka-stratejilerinde-cogu-turk-bankasinin-fark-etmedigi-guvenlik-acigi\/","title":{"rendered":"Yapay zek\u00e2 stratejilerinde \u00e7o\u011fu T\u00fcrk bankas\u0131n\u0131n fark etmedi\u011fi g\u00fcvenlik a\u00e7\u0131\u011f\u0131"},"content":{"rendered":"
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Yazar:\u00a0 U\u011fur \u00dcnl\u00fcak\u0131n | \u0130\u015f Geli\u015ftirme Y\u00f6neticisi<\/strong><\/p>

Yapay zek\u00e2 stratejilerinde \u00e7o\u011fu T\u00fcrk bankas\u0131n\u0131n fark etmedi\u011fi g\u00fcvenlik a\u00e7\u0131\u011f\u0131<\/h5>

T\u00fcrkiye genelinde bankalar ve sigorta \u015firketleri yapay zek\u00e2 yetkinlikleri geli\u015ftirmek i\u00e7in yar\u0131\u015f\u0131yor. Yeni yapay zek\u00e2 departmanlar\u0131 kuruluyor. Otonom kredi tahsisinden ger\u00e7ek zamanl\u0131 doland\u0131r\u0131c\u0131l\u0131k tespitine uzanan kullan\u0131m senaryolar\u0131 pilot a\u015famas\u0131ndan canl\u0131 ortama (production) ge\u00e7iyor. Ancak \u00e7o\u011fu finansal kurum i\u00e7in kritik bir soru h\u00e2l\u00e2 yan\u0131t ar\u0131yor: Bu yapay zek\u00e2 giri\u015fimlerini destekleyen altyap\u0131 ger\u00e7ekten de g\u00fcvenli mi?<\/p>

F\u0131rsat b\u00fcy\u00fck ancak risk de \u00f6yle. Yapay zek\u00e2 ortamlar\u0131, geleneksel g\u00fcvenlik \u00f6nlemlerinin ele almak \u00fczere tasarlanmad\u0131\u011f\u0131 tamamen yeni sald\u0131r\u0131 y\u00fczeyleri olu\u015fturur. \u00dcstelik T\u00fcrkiye\u2019nin t\u00fcm veri i\u015fleme s\u00fcre\u00e7lerinin kurum i\u00e7i (on-premises) kalmas\u0131n\u0131 zorunlu k\u0131lan s\u0131k\u0131 veri d\u00fczenlemeleri nedeniyle finansal kurumlar, bir\u00e7ok k\u00fcresel sa\u011flay\u0131c\u0131n\u0131n varsay\u0131lan olarak benimsedi\u011fi bulut tabanl\u0131 g\u00fcvenlik modellerine bel ba\u011flayamaz.<\/p>

Yapay zek\u00e2, finansal hizmetlerde nerede yeni zafiyetler yarat\u0131r?<\/h5>

Bankac\u0131l\u0131kta yapay zek\u00e2n\u0131n benimsenmesi tek bir uygulaman\u0131n \u00e7ok \u00f6tesine ge\u00e7iyor. Bug\u00fcn T\u00fcrk finansal kurumlar\u0131 a\u015fa\u011f\u0131daki gibi giri\u015fimleri aktif olarak hayata ge\u00e7iriyor:<\/p>
Yapay zek\u00e2 kullan\u0131m senaryosu<\/strong><\/h5><\/td>
Ne yapar?<\/strong><\/h5><\/td>
G\u00fcvenlik riski<\/strong><\/h5><\/td><\/tr>

Otonom KOB\u0130 kredi tahsisi<\/p><\/td>

An\u0131nda kredi onay\u0131 vermek i\u00e7in alternatif verileri kullan\u0131r<\/p><\/td>

Manip\u00fcle edilmi\u015f girdiler, yetkisiz kredi onaylar\u0131n\u0131 tetikleyebilir<\/p><\/td><\/tr>

Veri egemenli\u011fine uyumlu \u00fcretken yapay zek\u00e2 dan\u0131\u015fmanl\u0131\u011f\u0131<\/p><\/td>

T\u00fcrk\u00e7e b\u00fcy\u00fck dil modellerini kullanarak ki\u015fiselle\u015ftirilmi\u015f m\u00fc\u015fteri y\u00f6nlendirmesi sa\u011flar<\/p><\/td>

Prompt enjeksiyonu (prompt injection), hassas m\u00fc\u015fteri verilerinin a\u00e7\u0131\u011fa \u00e7\u0131kmas\u0131na yol a\u00e7abilir<\/p><\/td><\/tr>

Ger\u00e7ek zamanl\u0131 doland\u0131r\u0131c\u0131l\u0131k savunmas\u0131<\/p><\/td>

Yaln\u0131zca kal\u0131plar\u0131 de\u011fil, i\u015flemin niyetini de tespit eder<\/p><\/td>

Adversarial sald\u0131r\u0131lar, modeli tehditleri g\u00f6rmezden gelecek \u015fekilde e\u011fitebilir<\/p><\/td><\/tr>

Tar\u0131m zek\u00e2s\u0131 odakl\u0131 kredi tahsisi<\/p><\/td>

Uydu ve IoT verilerine dayanarak \u00fcr\u00fcn bazl\u0131 kredi skorlama s\u00fcrecini otomatikle\u015ftirir<\/p><\/td>

Ele ge\u00e7irilmi\u015f veri ak\u0131\u015flar\u0131, risk de\u011ferlendirmelerini \u00e7arp\u0131tabilir<\/p><\/td><\/tr><\/tbody><\/table>

Bu kullan\u0131m senaryolar\u0131n\u0131n her biri, kurum i\u00e7i (on-premises) ortamlarda \u00e7al\u0131\u015fan GPU hesaplama, y\u00fcksek h\u0131zl\u0131 a\u011f altyap\u0131s\u0131 ve b\u00fcy\u00fck hacimlerde hassas veri gerektirir. Sald\u0131r\u0131 y\u00fczeyi yaln\u0131zca modelin kendisi de\u011fildir. T\u00fcm altyap\u0131 y\u0131\u011f\u0131n\u0131 boyunca geni\u015fler: veri ak\u0131\u015f hatlar\u0131, a\u011f katman\u0131, yapay zek\u00e2 ajanlar\u0131n\u0131 \u00e7ekirdek bankac\u0131l\u0131k sistemlerine ba\u011flayan API\u2019ler ve kararlar\u0131n uyguland\u0131\u011f\u0131 u\u00e7 noktalar. Onayl\u0131 yapay zek\u00e2 devreye al\u0131mlar\u0131n\u0131n \u00f6tesinde, g\u00f6lge yapay zek\u00e2 da ayn\u0131 derecede ciddi bir risk olu\u015fturur. \u00c7al\u0131\u015fanlar, ChatGPT veya Gemini gibi herkese a\u00e7\u0131k ara\u00e7lar\u0131 denetim olmadan kulland\u0131\u011f\u0131nda, gizli bankac\u0131l\u0131k verileri kurumu tamamen terk edebilir ve mevcut t\u00fcm g\u00fcvenlik kontrollerini a\u015fabilir. T\u00fcrkiye\u2019nin kurum i\u00e7i (on-premises) veri gereksinimleriyle ba\u011fl\u0131 kurumlar i\u00e7in, hassas m\u00fc\u015fteri bilgisi i\u00e7eren tek bir yetkisiz prompt bile bir uyum ihlali anlam\u0131na gelir.<\/p>

\u201cBankalar yapay zek\u00e2 departmanlar\u0131 kuruyor ve yeni yetkinlikleri ke\u015ffediyor; ancak g\u00fcvenlik mimarisi de ayn\u0131 h\u0131zda evrilmek zorunda. Modeli korumak, zorlu\u011fun yaln\u0131zca bir par\u00e7as\u0131. \u00c7al\u0131\u015ft\u0131\u011f\u0131 t\u00fcm ortam\u0131 koruman\u0131z gerekiyor.\u201d – Morten Teknik Grup M\u00fcd\u00fcr\u00fc<\/em> I\u00a0 Ediz Burak KIRIM<\/p>

Her Finansal Kurumun \u015eimdi Ele Almas\u0131 Gereken \u00dc\u00e7 \u00d6ncelik<\/h5>

Kurumunuz ister erken ke\u015fif a\u015famas\u0131nda olsun ister yapay zek\u00e2 i\u015f y\u00fcklerini aktif olarak devreye al\u0131yor olsun, \u015fu \u00fc\u00e7 alan acil dikkat gerektirir:<\/p>

  • \u00c7al\u0131\u015fma zaman\u0131 yapay zek\u00e2 korumas\u0131:<\/strong> Geleneksel \u00e7evre (perimetre) g\u00fcvenli\u011fi; prompt enjeksiyonu (prompt injection), hal\u00fcsinasyon d\u00f6ng\u00fcleri veya yapay zek\u00e2 modellerinden yetkisiz veri s\u0131z\u0131nt\u0131lar\u0131n\u0131 kapsamaz. Cisco Secure AI Defense gibi \u00e7\u00f6z\u00fcmler, ajan tabanl\u0131 (agentic) yapay zek\u00e2 i\u00e7in \u00f6zel olarak tasarlanm\u0131\u015f \u00e7al\u0131\u015fma zaman\u0131 korumalar\u0131 sunar; model davran\u0131\u015f\u0131n\u0131 izler ve k\u00f6t\u00fc niyetli girdileri \u00e7ekirdek sistemlere ula\u015fmadan \u00f6nce engeller.<\/li>
  • A\u011f segmentasyonu ve g\u00f6r\u00fcn\u00fcrl\u00fck:<\/strong> Yapay zek\u00e2 i\u015f y\u00fckleri, y\u00fcksek bant geni\u015fli\u011fi ve d\u00fc\u015f\u00fck gecikmeli a\u011f altyap\u0131s\u0131 gerektirir; ancak veri merkezi i\u00e7inde yeni yanal hareket (lateral movement) yollar\u0131 da olu\u015fturur. Mikrosegmentasyon ve tam trafik g\u00f6r\u00fcn\u00fcrl\u00fc\u011f\u00fc, ele ge\u00e7irilmi\u015f bir yapay zek\u00e2 i\u015f y\u00fck\u00fcn\u00fcn canl\u0131 bankac\u0131l\u0131k sistemlerine eri\u015fememesini sa\u011flamaya yard\u0131mc\u0131 olur. T\u00fcrkiye\u2019nin \u00f6nde gelen bankalar\u0131ndan biri, i\u015f y\u00fck\u00fc d\u00fczeyinde politika uygulamas\u0131n\u0131 hayata ge\u00e7irdikten sonra uygulama ortamlar\u0131n\u0131n tamam\u0131nda %100 g\u00f6r\u00fcn\u00fcrl\u00fck elde etti ve sald\u0131r\u0131 y\u00fczeyini %99 azaltt\u0131.<\/li>
  • Yapay zek\u00e2 i\u00e7in tasarlanm\u0131\u015f kurum i\u00e7i (on-premises) altyap\u0131:<\/strong> T\u00fcrkiye\u2019nin finansal mevzuat\u0131 mu\u011flakl\u0131\u011fa yer b\u0131rakmaz: Veriler kurum i\u00e7i (on-premises) kal\u0131r. Bu da GPU sunucular\u0131n\u0131n, h\u0131zl\u0131 a\u011f altyap\u0131s\u0131n\u0131n ve depolaman\u0131n tamam\u0131n\u0131n yerel olarak devreye al\u0131nmas\u0131, g\u00fcvence alt\u0131na al\u0131nmas\u0131 ve y\u00f6netilmesi gerekti\u011fi anlam\u0131na gelir. Cisco AI PODs gibi \u00f6nceden do\u011frulanm\u0131\u015f altyap\u0131 y\u0131\u011f\u0131nlar\u0131; Cisco Nexus a\u011f altyap\u0131s\u0131 ve Cisco UCS X-Series i\u015flem altyap\u0131s\u0131yla birle\u015ftirildi\u011finde, kurumlar\u0131n aylar yerine haftalar i\u00e7inde g\u00fcvenli yapay zek\u00e2 ortamlar\u0131n\u0131 devreye almas\u0131na olanak tan\u0131r.<\/li><\/ul>
    Haz\u0131rl\u0131k Sevi<\/strong>yenizi Nas\u0131l K\u0131yaslayabilirsiniz?<\/h5>

    Pratik bir ilk ad\u0131m, kurumunuzun bug\u00fcn nerede konumland\u0131\u011f\u0131n\u0131 de\u011ferlendirmektir. \u015eu sorular\u0131 g\u00f6z \u00f6n\u00fcnde bulundurun:<\/p>

    • \u0130\u015f birimlerinizin \u00f6n\u00fcm\u00fczdeki 12 ay i\u00e7inde hayata ge\u00e7irmeyi planlad\u0131\u011f\u0131 belirli yapay zek\u00e2 kullan\u0131m senaryolar\u0131n\u0131 belirlediniz mi?<\/li>
    • Mevcut g\u00fcvenlik mimariniz, b\u00fcy\u00fck dil modellerinden kaynaklanan prompt enjeksiyonu (prompt injection) ve veri s\u0131z\u0131nt\u0131s\u0131 gibi yapay zek\u00e2ya \u00f6zg\u00fc tehditleri kaps\u0131yor mu?<\/li>
    • Kurum i\u00e7i (on-premises) altyap\u0131n\u0131z, canl\u0131 yapay zek\u00e2 i\u015f y\u00fcklerinin i\u015flem g\u00fcc\u00fc, a\u011f altyap\u0131s\u0131 ve depolama taleplerini kar\u015f\u0131layabiliyor mu?<\/li>
    • Bu ortamlar\u0131 devreye almak ve g\u00fcvence alt\u0131na almak i\u00e7in kurum i\u00e7i uzmanl\u0131\u011fa sahip misiniz; yoksa uygulamal\u0131 yapay zek\u00e2 altyap\u0131s\u0131 deneyimi olan bir teknoloji i\u015f orta\u011f\u0131na m\u0131 ihtiyac\u0131n\u0131z var?<\/li><\/ul>

      Bu sorulardan herhangi biri sizde endi\u015fe yarat\u0131yorsa yaln\u0131z de\u011filsiniz. T\u00fcrkiye\u2019deki \u00e7o\u011fu finansal kurum benzer bir a\u015famada; yapay zek\u00e2ya yat\u0131r\u0131m yap\u0131yor ancak bunun gerektirdi\u011fi g\u00fcvenli temeli h\u00e2l\u00e2 in\u015fa ediyor.<\/p>

      G\u00fcvenlik mimarisini yapay zek\u00e2 hedefleriyle ilk uyumlayan kurumlar, m\u00fc\u015fterilerini korurken ve mevzuat gereksinimlerini kar\u015f\u0131larken bu teknolojilerin de\u011ferini hayata ge\u00e7irme konusunda en avantajl\u0131 konumda olacakt\u0131r.<\/p>

      Bir sonraki ad\u0131m\u0131 atmaya haz\u0131r m\u0131s\u0131n\u0131z?<\/strong> Yapay zek\u00e2 ortam\u0131n\u0131z i\u00e7in bir altyap\u0131 ve g\u00fcvenlik de\u011ferlendirmesi planlamak \u00fczere Morten ile ileti\u015fime ge\u00e7in.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

      Yazar: \u00a0U\u011fur \u00dcnl\u00fcak\u0131n | \u0130\u015f Geli\u015ftirme Y\u00f6neticisi<\/p>\n

      Yapay zek\u00e2 stratejilerinde \u00e7o\u011fu T\u00fcrk bankas\u0131n\u0131n fark etmedi\u011fi g\u00fcvenlik a\u00e7\u0131\u011f\u0131<\/p>\n

      T\u00fcrkiye genelinde bankalar ve sigorta \u015firketleri yapay zek\u00e2 yetkinlikleri geli\u015ftirmek i\u00e7in yar\u0131\u015f\u0131yor. Yeni yapay zek\u00e2 departmanlar\u0131 kuruluyor. Otonom kredi tahsisinden ger\u00e7ek zamanl\u0131 doland\u0131r\u0131c\u0131l\u0131k tespitine uzanan kullan\u0131m senaryolar\u0131 pilot a\u015famas\u0131ndan canl\u0131 ortama (production) ge\u00e7iyor. Ancak \u00e7o\u011fu finansal kurum i\u00e7in kritik bir soru h\u00e2l\u00e2 yan\u0131t ar\u0131yor: Bu yapay zek\u00e2 giri\u015fimlerini destekleyen altyap\u0131 ger\u00e7ekten de g\u00fcvenli mi?<\/p>","protected":false},"author":11,"featured_media":998053,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[205],"tags":[204,171,203],"class_list":["post-998044","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-yapay-zeka","tag-banka","tag-guvenlik","tag-yapay-zeka"],"yoast_head":"\nYapay zek\u00e2 stratejilerinde \u00e7o\u011fu T\u00fcrk bankas\u0131n\u0131n fark etmedi\u011fi g\u00fcvenlik a\u00e7\u0131\u011f\u0131 - Morten<\/title>\n<meta name=\"description\" content=\"Geleneksel a\u011f y\u00f6netiminden yaz\u0131l\u0131m tan\u0131ml\u0131 a\u011flara ge\u00e7i\u015f. 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