Kurumlarda \u00fcretken yapay zeka kullan\u0131m\u0131 h\u0131zla yayg\u0131nla\u015f\u0131rken, \u00e7al\u0131\u015fanlar\u0131n yapay zeka ara\u00e7lara fark\u0131nda olmadan aktard\u0131\u011f\u0131 m\u00fc\u015fteri bilgileri, kaynak kodlar\u0131 ve gizli belgeler yeni nesil veri s\u0131z\u0131nt\u0131s\u0131 risklerini beraberinde getiriyor.\u00a0Shadowx, geli\u015ftirdi\u011fi entegre yapay zeka g\u00fcvenlik platformuyla kurumlar\u0131n yapay zekay\u0131 engellemeden g\u00fcvenli kullanmas\u0131n\u0131 sa\u011flayan \u00e7\u00f6z\u00fcm\u00fcn\u00fc sunuyor.<\/p>\n
Cisco ve CyberHaven\u2019\u0131n g\u00fcncel ara\u015ft\u0131rmalar\u0131na g\u00f6re, \u00e7al\u0131\u015fanlar\u0131n yar\u0131ya yak\u0131n\u0131 i\u015f verilerini veya kuruma \u00f6zel bilgileri \u00fcretken yapay zeka ara\u00e7lar\u0131na girdiklerini kabul ediyor. G\u00fcvenlik uzmanlar\u0131n\u0131n bile y\u00fczde 64\u2019\u00fcn\u00fcn hassas bilgileri yanl\u0131\u015fl\u0131kla d\u0131\u015far\u0131 s\u0131zd\u0131rmaktan endi\u015fe duydu\u011fu, \u00e7al\u0131\u015fanlar\u0131n yapay zeka ara\u00e7lar\u0131na girdi\u011fi kurumsal verinin y\u00fczde 34,8’i hassas nitelik ta\u015f\u0131d\u0131\u011f\u0131; g\u00fcncel ara\u015ft\u0131rmalarla ortaya konmu\u015f durumda.\u00a0<\/p>\n
Veri g\u00fcvenli\u011fi ile \u00fcretkenlik ayn\u0131 anda m\u00fcmk\u00fcn<\/strong> Kaya, s\u00f6zlerine \u015f\u00f6yle devam etti: \u201cYapay zekan\u0131n kurumsal yay\u0131l\u0131m\u0131 geri d\u00f6nd\u00fcr\u00fclemez bir e\u015fi\u011fi ge\u00e7ti. Art\u0131k \u015firketlerin y\u00fczde 78’i yapay zeka kullan\u0131yor, \u00fcretken yapay zekan\u0131n benimseme oran\u0131 son bir y\u0131lda y\u00fczde 33’ten y\u00fczde 71’e \u00e7\u0131kt\u0131. Shadowx olarak bu tabloya \u00e7\u00f6z\u00fcm \u00f6nerimiz; kurumlar\u0131n yapay zekay\u0131 yasaklamas\u0131 y\u00f6n\u00fcnde de\u011fil. Verimlilik art\u0131\u015f\u0131ndan vazge\u00e7mek yerine denetlenebilir k\u0131larak, \u00e7a\u011f\u0131n gereklerine ayak uydurmak m\u00fcmk\u00fcn. \u2018Siber g\u00fcvenli\u011finizin g\u00f6lgesi\u2019 yakla\u015f\u0131m\u0131yla geli\u015ftirdi\u011fimiz platform, veri s\u0131z\u0131nt\u0131s\u0131 \u00f6nleme, g\u00fcvenlik operasyonlar\u0131n\u0131n otomasyonu, yapay zeka sistemlerinin sald\u0131r\u0131lara kar\u015f\u0131 test edilmesi ve kurumsal yapay zeka g\u00f6r\u00fcn\u00fcrl\u00fc\u011f\u00fc i\u015flevlerini tek \u00e7at\u0131 alt\u0131nda sunuyor. Veri, kurumun d\u0131\u015f\u0131na \u00e7\u0131kmadan; reg\u00fcle, kurum i\u00e7i (on-prem) ve egemen (sovereign) ortamlarda \u00e7al\u0131\u015fabiliyor.\u201d<\/p>\n Yapay zeka kullan\u0131m\u0131n\u0131 g\u00fcvence alt\u0131na al\u0131yor<\/strong><\/p>\n Shadowx\u2019in yeni platformu alt\u0131ndaki i\u015flevlerden FilterX, \u00e7al\u0131\u015fanlar\u0131n dil modellerine g\u00f6nderdi\u011fi metin, dosya ve g\u00f6rsellerden hassas verileri ger\u00e7ek zamanl\u0131 olarak tespit ediyor, maskeliyor veya yeniden yaz\u0131yor. Regex kurallar\u0131, do\u011fal dil i\u015fleme (NLP) tabanl\u0131 tespit ve yerel LLM destekli ba\u011flamsal yeniden yazmadan olu\u015fan \u00fc\u00e7 katmanl\u0131 bir i\u015fleyi\u015f kullanan bile\u015fen; PDF, Word, Excel, sunum, g\u00f6rsel (OCR) ve ar\u015fiv dosyalar\u0131n\u0131 a\u00e7\u0131p temizledikten sonra yeniden olu\u015fturuyor.<\/p>\n FilterX Proxy, t\u00fcm \u00fcretken yapay zeka trafi\u011fini proxy d\u00fczeyinde ve TLS \u015fifre \u00e7\u00f6zmeyle yakalayarak hi\u00e7bir kullan\u0131c\u0131n\u0131n g\u00fcvenlik katman\u0131n\u0131 atlamas\u0131na izin vermiyor. ChatGPT, Claude, Gemini, Grok ve Copilot gibi servislerin yan\u0131 s\u0131ra yerel modelleri de kaps\u0131yor.<\/p>\n Model Defense, prompt injection ve jailbreak gibi k\u00f6t\u00fc niyetli istemleri modele ula\u015fmadan 200 milisaniyenin alt\u0131nda, ek donan\u0131m (GPU) gerektirmeden durduruyor.<\/p>\n AI Agents ise otonom yapay zeka ajanlar\u0131n\u0131n hangi i\u015flemleri yapabilece\u011fini politika baz\u0131nda s\u0131n\u0131rl\u0131yor; her ajan\u0131n web eri\u015fimi, dosya i\u015flemleri ve ara\u00e7 \u00e7a\u011fr\u0131lar\u0131 ger\u00e7ek zamanl\u0131 denetleniyor. MCP Monitoring ise \u00a0ajanlar\u0131n ve ara\u00e7lar\u0131n d\u0131\u015f MCP sunucular\u0131yla kurdu\u011fu her ba\u011flant\u0131y\u0131 g\u00f6r\u00fcn\u00fcr k\u0131l\u0131yor ve verinin nereye gitti\u011fini izlemeyi sa\u011fl\u0131yor.<\/p>\n SOC-AI, g\u00fcvenlik operasyon merkezlerindeki alarm y\u00fck\u00fcn\u00fc azaltmak i\u00e7in olaylar\u0131 yorumluyor, MITRE ATT&CK \u00e7er\u00e7evesiyle e\u015fliyor ve tekrar eden birinci seviye analiz i\u015f y\u00fck\u00fcn\u00fcn b\u00fcy\u00fck b\u00f6l\u00fcm\u00fcn\u00fc otomatikle\u015ftiriyor. Kapal\u0131 a\u011flarda \u00e7al\u0131\u015fabilen yerel LLM se\u00e7ene\u011fi sunuyor.<\/p>\n VisionX, kurum genelinde yapay zeka kullan\u0131m\u0131n\u0131 g\u00f6r\u00fcn\u00fcr ve \u00f6l\u00e7\u00fclebilir k\u0131l\u0131yor; hangi \u00e7al\u0131\u015fan\u0131n hangi uygulamada, hangi verilerle yapay zeka kulland\u0131\u011f\u0131n\u0131 tek ekranda sunarak yetkisiz g\u00f6lge yapay zeka (shadow AI) kullan\u0131m\u0131n\u0131 risk seviyelerine g\u00f6re s\u0131n\u0131fland\u0131r\u0131yor.<\/p>\n RedX, yapay zeka sistemlerinin ger\u00e7ek sald\u0131r\u0131 senaryolar\u0131na kar\u015f\u0131 dayan\u0131kl\u0131l\u0131\u011f\u0131n\u0131 \u00f6l\u00e7\u00fcyor; prompt injection, jailbreak, ba\u011flam s\u0131z\u0131nt\u0131s\u0131 ve model manip\u00fclasyonu gibi sald\u0131r\u0131lar\u0131 sim\u00fcle ederek iyile\u015ftirme \u00f6nerileriyle raporluyor.<\/p>\n Yapay zeka g\u00fcvenli\u011fi pazar\u0131 5 y\u0131lda 3 kat b\u00fcy\u00fcyecek<\/strong><\/p>\n Yapay zekan\u0131n kurumsal kullan\u0131m\u0131n\u0131n yayg\u0131nla\u015fmas\u0131yla birlikte g\u00fcvenlik yat\u0131r\u0131mlar\u0131 da h\u0131zla art\u0131yor. Grand View Research verilerine g\u00f6re k\u00fcresel yapay zeka g\u00fcvenli\u011fi pazar\u0131n\u0131n 2025’te 2,8 milyar dolar olan b\u00fcy\u00fckl\u00fc\u011f\u00fcn\u00fcn 2030’da 7,44 milyar dolara ula\u015fmas\u0131 bekleniyor.\u00a0<\/p>\n D\u00fczenleyici \u00e7er\u00e7eve ise hen\u00fcz oturmu\u015f de\u011fil; Avrupa Birli\u011fi’nde yapay zekaya y\u00f6nelik yapt\u0131r\u0131m mekanizmalar\u0131n\u0131n s\u0131n\u0131rlar\u0131 tart\u0131\u015f\u0131lmaya devam ediyor. Bu durum, kurumlar\u0131n kendi veri koruma \u00f6nlemlerini almas\u0131n\u0131 daha da kritik hale getiriyor.<\/p>\n \u00a0<\/p>\n Kaynak: (BYZHA) Beyaz Haber Ajans\u0131<\/p>\n","protected":false},"excerpt":{"rendered":" Kurumlarda \u00fcretken yapay zeka kullan\u0131m\u0131 h\u0131zla yayg\u0131nla\u015f\u0131rken, \u00e7al\u0131\u015fanlar\u0131n yapay zeka ara\u00e7lara fark\u0131nda olmadan aktard\u0131\u011f\u0131 m\u00fc\u015fteri bilgileri, kaynak kodlar\u0131 ve gizli belgeler yeni nesil veri s\u0131z\u0131nt\u0131s\u0131 risklerini beraberinde getiriyor.<\/p>\n","protected":false},"author":1,"featured_media":34282,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[26],"tags":[],"class_list":["post-34281","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teknoloji"],"_links":{"self":[{"href":"https:\/\/akdenizolay.com.tr\/index.php\/wp-json\/wp\/v2\/posts\/34281","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/akdenizolay.com.tr\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/akdenizolay.com.tr\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/akdenizolay.com.tr\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/akdenizolay.com.tr\/index.php\/wp-json\/wp\/v2\/comments?post=34281"}],"version-history":[{"count":1,"href":"https:\/\/akdenizolay.com.tr\/index.php\/wp-json\/wp\/v2\/posts\/34281\/revisions"}],"predecessor-version":[{"id":34283,"href":"https:\/\/akdenizolay.com.tr\/index.php\/wp-json\/wp\/v2\/posts\/34281\/revisions\/34283"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/akdenizolay.com.tr\/index.php\/wp-json\/wp\/v2\/media\/34282"}],"wp:attachment":[{"href":"https:\/\/akdenizolay.com.tr\/index.php\/wp-json\/wp\/v2\/media?parent=34281"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/akdenizolay.com.tr\/index.php\/wp-json\/wp\/v2\/categories?post=34281"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/akdenizolay.com.tr\/index.php\/wp-json\/wp\/v2\/tags?post=34281"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Shadowx Kurucu Orta\u011f\u0131 ve CTO\u2019su Nedim Kaya\u2019ya g\u00f6re sorunun k\u00f6keninde k\u00f6t\u00fc niyet de\u011fil, \u00fcretkenlik aray\u0131\u015f\u0131 bulunuyor. Kaya, yapt\u0131\u011f\u0131 a\u00e7\u0131klama ile kurumsal veri ihlallerinin maliyetinin ortalama 4,44 milyon dolar\u0131 buldu\u011funu, kurumlar\u0131n y\u00fczde 97\u2019sinin yapay zekaya giden veriler i\u00e7in herhangi bir eri\u015fim kontrol\u00fc bulunmad\u0131\u011f\u0131n\u0131 belirtti.<\/p>\n