{"id":998381,"date":"2026-07-02T14:57:25","date_gmt":"2026-07-02T11:57:25","guid":{"rendered":"https:\/\/www.morten.com.tr\/?p=998381"},"modified":"2026-07-02T15:27:14","modified_gmt":"2026-07-02T12:27:14","slug":"cisconun-yapay-zeka-ve-siber-guvenlik-donusumu","status":"publish","type":"post","link":"https:\/\/www.morten.com.tr\/en\/cisconun-yapay-zeka-ve-siber-guvenlik-donusumu\/","title":{"rendered":"Cisco\u2019nun Yapay Zek\u00e2 ve Siber G\u00fcvenlik D\u00f6n\u00fc\u015f\u00fcm\u00fc"},"content":{"rendered":"
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Yazar:\u00a0 Fatih Ermi\u015f | K\u0131demli \u00c7\u00f6z\u00fcm Dan\u0131\u015fman\u0131
<\/strong><\/p>

Cisco\u2019nun son y\u0131llardaki sat\u0131n alma stratejisi incelendi\u011finde, \u015firketin yaln\u0131zca \u00fcr\u00fcn portf\u00f6y\u00fcn\u00fc geni\u015fletmeye \u00e7al\u0131\u015fmad\u0131\u011f\u0131 g\u00f6r\u00fclmektedir. As\u0131l hedef, a\u011f, g\u00fcvenlik, g\u00f6zlemlenebilirlik ve yapay zek\u00e2 operasyonlar\u0131n\u0131 ortak bir veri katman\u0131nda birle\u015ftiren entegre bir platform olu\u015fturmakt\u0131r. Kurumlar i\u00e7in as\u0131l de\u011fer, farkl\u0131 \u00fcreticilerden gelen onlarca \u00fcr\u00fcn\u00fcn \u00fcretti\u011fi veriyi tek ba\u015f\u0131na toplamak de\u011fil, bu verileri anlaml\u0131 hale getirebilmektir.<\/p>

\u00d6zellikle yapay zek\u00e2 yat\u0131r\u0131mlar\u0131n\u0131n h\u0131zlanmas\u0131yla birlikte kurumlar\u0131n kar\u015f\u0131la\u015ft\u0131\u011f\u0131 en \u00f6nemli sorunlardan biri g\u00f6r\u00fcn\u00fcrl\u00fck eksikli\u011fidir. Geleneksel sistemlerde kullan\u0131c\u0131lar, uygulamalar ve cihazlar izlenirken; g\u00fcn\u00fcm\u00fczde yapay zek\u00e2 ajanlar\u0131, servis hesaplar\u0131 ve otomasyon s\u00fcre\u00e7leri de kurumsal i\u015f ak\u0131\u015flar\u0131n\u0131n aktif bir par\u00e7as\u0131 haline gelmi\u015ftir. Bu durum g\u00fcvenlik ekiplerinin bak\u0131\u015f a\u00e7\u0131s\u0131n\u0131 de\u011fi\u015ftirmektedir.<\/p>

Splunk sat\u0131n al\u0131m\u0131 bu d\u00f6n\u00fc\u015f\u00fcm\u00fcn merkezinde yer almaktad\u0131r. G\u00fcvenlik ekipleri art\u0131k yaln\u0131zca olaylar\u0131 g\u00f6rmek de\u011fil, olaylar\u0131n neden ger\u00e7ekle\u015fti\u011fini ve hangi i\u015f s\u00fcre\u00e7lerini etkiledi\u011fini de anlamak istemektedir. A\u011f telemetrisi, uygulama performans\u0131 ve g\u00fcvenlik olaylar\u0131n\u0131n ayn\u0131 platformda analiz edilebilmesi, operasyon ekiplerine daha h\u0131zl\u0131 karar alma yetene\u011fi kazand\u0131rmaktad\u0131r.<\/p>

Bulut yerel mimariler taraf\u0131nda Isovalent sat\u0131n al\u0131m\u0131 da benzer \u015fekilde stratejik \u00f6nem ta\u015f\u0131maktad\u0131r. Modern veri merkezlerinde trafik ak\u0131\u015f\u0131n\u0131n b\u00fcy\u00fck b\u00f6l\u00fcm\u00fc art\u0131k fiziksel sunucular aras\u0131nda de\u011fil, konteynerler ve mikro servisler aras\u0131nda ger\u00e7ekle\u015fmektedir. Bu nedenle g\u00f6r\u00fcn\u00fcrl\u00fck ve g\u00fcvenlik \u00e7\u00f6z\u00fcmlerinin uygulama katman\u0131na kadar inebilmesi kritik hale gelmi\u015ftir.<\/p>

Yapay zek\u00e2 g\u00fcvenli\u011fi alan\u0131nda ise sekt\u00f6r hen\u00fcz erken a\u015famadad\u0131r. Ancak kurumlar\u0131n \u00fcretim ortamlar\u0131nda kulland\u0131klar\u0131 b\u00fcy\u00fck dil modellerinin say\u0131s\u0131 artt\u0131k\u00e7a; veri s\u0131z\u0131nt\u0131s\u0131, model manip\u00fclasyonu ve yetkisiz eri\u015fim gibi riskler daha g\u00f6r\u00fcn\u00fcr hale gelmektedir. Cisco\u2019nun Robust Intelligence ve Galileo yat\u0131r\u0131mlar\u0131 bu nedenle yaln\u0131zca bug\u00fcn\u00fcn de\u011fil, \u00f6n\u00fcm\u00fczdeki y\u0131llar\u0131n ihtiya\u00e7lar\u0131na y\u00f6nelik hamleler olarak de\u011ferlendirilebilir.<\/p>

Bir di\u011fer \u00f6nemli de\u011fi\u015fim ise insan d\u0131\u015f\u0131 kimliklerin y\u00fckseli\u015fidir. Gelecekte kurumsal ortamlarda \u00e7al\u0131\u015fan API anahtarlar\u0131n\u0131n, servis hesaplar\u0131n\u0131n ve yapay zek\u00e2 ajanlar\u0131n\u0131n say\u0131s\u0131n\u0131n insan kullan\u0131c\u0131 say\u0131s\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde a\u015fmas\u0131 beklenmektedir. Bu nedenle kimlik g\u00fcvenli\u011fi kavram\u0131 yaln\u0131zca \u00e7al\u0131\u015fanlar\u0131 de\u011fil, makineleri ve otomasyon sistemlerini de kapsayacak \u015fekilde geni\u015flemektedir.<\/p>

Sonu\u00e7 olarak Cisco\u2019nun son d\u00f6nemdeki sat\u0131n almalar\u0131 tek tek de\u011ferlendirildi\u011finde farkl\u0131 alanlara y\u00f6nelik yat\u0131r\u0131mlar gibi g\u00f6r\u00fcnse de, b\u00fcy\u00fck resimde ortak bir hedefe hizmet etmektedir:<\/p>

A\u011f, g\u00fcvenlik, g\u00f6zlemlenebilirlik ve yapay zek\u00e2y\u0131 tek bir operasyonel platform alt\u0131nda bir araya getirmek. Bu yakla\u015f\u0131m\u0131n \u00f6n\u00fcm\u00fczdeki d\u00f6nemde hem siber g\u00fcvenlik sekt\u00f6r\u00fcn\u00fc hem de kurumsal BT operasyonlar\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde etkilemesi beklenmektedir.<\/p>

Son y\u0131llarda teknoloji d\u00fcnyas\u0131nda ya\u015fanan en b\u00fcy\u00fck d\u00f6n\u00fc\u015f\u00fcmlerden biri, a\u011f altyap\u0131s\u0131 \u015firketlerinin art\u0131k yaln\u0131zca \u201cnetwork \u00fcreticisi\u201d olmaktan \u00e7\u0131k\u0131p g\u00fcvenlik, veri analiti\u011fi ve yapay zek\u00e2 platform sa\u011flay\u0131c\u0131s\u0131na d\u00f6n\u00fc\u015fmesi oldu. Bu d\u00f6n\u00fc\u015f\u00fcm\u00fcn en dikkat \u00e7ekici \u00f6rneklerinden biri ise hi\u00e7 \u015f\u00fcphesiz Cisco.<\/p>

Uzun y\u0131llar boyunca Router, Switch ve Veri merkezi \u00e7\u00f6z\u00fcmleriyle tan\u0131nan Cisco, art\u0131k \u00e7ok g\u00fc\u00e7l\u00fc olarak bug\u00fcn:<\/p>

  • Yapay Zeka G\u00fcvenli\u011fi,<\/li>
  • U\u00e7tan uca G\u00f6zlemlenebilirlik,<\/li>
  • Bulut Yerel A\u011f Mimarisi,<\/li>
  • Geni\u015fletilmi\u015f Tehdit Tespiti ve M\u00fcdahalesi,<\/li>
  • S\u0131f\u0131r G\u00fcven Mimarisi,<\/li>
  • Kimlik G\u00fcvenli\u011fi,<\/li>
  • Zeka Destekli BT Operasyonlar\u0131,<\/li><\/ul>

    alanlar\u0131nda agresif yat\u0131r\u0131mlar yapan bir teknoloji devine d\u00f6n\u00fc\u015ft\u00fc.<\/p>

    \u00d6zellikle son d\u00f6nemde ger\u00e7ekle\u015fen sat\u0131n almalar, Cisco\u2019nun gelecek stratejisinin yaln\u0131zca A\u011f ta\u015f\u0131mak de\u011fil, a\u011f\u0131n \u00fczerinde \u00e7al\u0131\u015fan t\u00fcm dijital ekosistemi stabil ve g\u00f6r\u00fcn\u00fcr hale getirmek ve yapay zeka ile g\u00fcvenli\u011finin art\u0131r\u0131larak daha yeni nesil \u00e7\u00f6z\u00fcmler sunaca\u011f\u0131n\u0131\u00a0 g\u00f6steriyor.<\/p>

    Bu yaz\u0131da Cisco\u2019nun son y\u0131llardaki en kritik sat\u0131n almalar\u0131n\u0131, bunlar\u0131n teknolojik etkilerini ve sekt\u00f6r a\u00e7\u0131s\u0131ndan ne ifade etti\u011fini detayl\u0131 \u015fekilde inceliyor olaca\u011f\u0131z.<\/p>

    Cisco\u2019nun Sat\u0131n Alma Stratejisi <\/strong><\/h2>

    Dijital D\u00f6n\u00fc\u015f\u00fcm ve AI G\u00fcvenli\u011fi Perspektifinden Nas\u0131l De\u011ferlendirilebilir?<\/strong><\/p>

    Geleneksel network pazar\u0131 art\u0131k eskisi kadar h\u0131zl\u0131 b\u00fcy\u00fcm\u00fcyor. Kurumlar:<\/p>

    • Hibrit Bulut Mimarilerine \u201cHybrid-Cloude\u201d,<\/li>
    • Hizmet olarak Yaz\u0131l\u0131m Platformlar\u0131na \u201cSaaS\u201d,<\/li>
    • Konteyner Orkestrasyon Platformlar\u0131 \u201cKubernetes\u201d tabanl\u0131 yap\u0131lara,<\/li>
    • Yapay Zeka Ajanlara \u201cAI agent\u201d,<\/li>
    • Otomasyon sistemlerine ge\u00e7i\u015f yap\u0131yor.<\/li><\/ul>

      Bu d\u00f6n\u00fc\u015f\u00fcm \u015fu sonucu do\u011furdu:<\/p>

      \u201cArt\u0131k g\u00fcvenlik a\u011f\u0131n d\u0131\u015f\u0131nda de\u011fil, do\u011frudan a\u011f\u0131n i\u00e7inde olmak zorunda.\u201d<\/strong><\/p>

      Cisco da bu nedenle:<\/p>

      • G\u00fcvenli\u011fi,<\/li>
      • Veri Analiti\u011fini,<\/li>
      • Yapay Zeka G\u00f6zlemlenebilirli\u011fini ( AI Observability),<\/li>
      • Kimlik Y\u00f6netimini tek platform alt\u0131nda toplamaya \u00e7al\u0131\u015f\u0131yor.<\/li><\/ul>

        Bug\u00fcn Cisco\u2019nun sat\u0131n ald\u0131\u011f\u0131 \u00fcr\u00fcnleri inceliyor olaca\u011f\u0131z.<\/p>

        1. Splunk Sat\u0131n Al\u0131m\u0131 \u2014 Cisco Tarihinin En B\u00fcy\u00fck Hamlesi<\/strong><\/h4>

        2024 y\u0131l\u0131nda Cisco tarihinin en b\u00fcy\u00fck sat\u0131n al\u0131mlar\u0131ndan birisini germekle\u015ftirerek, SIEM ve Observability marketinin liderlerinden olan SPLUNK\u2019 \u0131 kendi b\u00fcnyesine dahil etti.<\/p>

        \u201cSplunk Acquisition by Cisco\u201d<\/em><\/strong><\/p>

        Bu sat\u0131n alma yaln\u0131zca finansal b\u00fcy\u00fckl\u00fc\u011f\u00fc nedeniyle de\u011fil, Cisco\u2019nun y\u00f6n\u00fcn\u00fc b\u00fcy\u00fck \u00f6l\u00e7\u00fcde hangi alana \u00e7evirdi\u011finin g\u00f6sterilmesi nedeniyle de kritik \u00f6neme sahiptir.<\/p>

        Splunk Neden Bu Kadar \u00d6nemli?<\/strong><\/p>

        SPLUNK \u00f6zellikle \u015fu alanlarda sekt\u00f6r liderlerinden biri:<\/p>

        • G\u00fcvenlik Bilgisi ve Olay Y\u00f6netimi \u201cSIEM\u201d\u00a0<\/li>
        • Log Y\u00f6netimi\u00a0<\/li>
        • Veri Analiti\u011fi\u00a0<\/li>
        • G\u00f6zlemlenebilirlik<\/li>
        • G\u00fcvenlik Analitikleri \u201cSecurity Analytics\u201d\u00a0<\/li>
        • G\u00fcvenlik Orkestrasyonu, Otomasyonu ve M\u00fcdehalesi \u201cSOAR\u201d Entegrasyonlar\u0131<\/li><\/ul>

          Bug\u00fcn\u00fcn kurumlar\u0131nda milyarlarca log \u00fcretiliyor:<\/p>

          • G\u00fcvenlik Duvar\u0131 \u201cFirewall\u201d Loglar\u0131<\/li>
          • U\u00e7 nokta Olaylar\u0131 \u201cEndpoint Event\u201d<\/li>
          • Bulut Aktivire Kay\u0131tlar\u0131 \u201cCloud Activity Logs\u201d<\/li>
          • Konteyner Orkestrasyon Platform Olaylar\u0131 \u201cKubernetes Event\u201d<\/li>
          • Kimlik Kay\u0131tlar\u0131 \u201cIdentity Log\u201d<\/li>
          • Hizmet olarak Yaz\u0131l\u0131m \u201cSaaS Telemetry\u201d verileri.<\/li><\/ul>

            Bu kadar b\u00fcy\u00fck veri ancak g\u00fc\u00e7l\u00fc analitik platformlarla anlaml\u0131 hale geliyor.<\/p>

            Cisco\u2019nun amac\u0131 burada \u00e7ok net:<\/p>

            \u201cA\u011f verisini g\u00fcvenlik zek\u00e2s\u0131na d\u00f6n\u00fc\u015ft\u00fcrmek.\u201d<\/strong><\/p>

            Cisco Splunk ile Ne Kazand\u0131?<\/strong><\/p>

            G\u00fc\u00e7l\u00fc G\u00fcvenlik Bilgisi ve Olay Y\u00f6netimi<\/strong> \u201cSIEM\u201d Altyap\u0131s\u0131<\/strong><\/p>

            Cisco art\u0131k kendi XDR platformunu \u00e7ok daha g\u00fc\u00e7l\u00fc hale getirebiliyor.<\/p>

            G\u00f6zlemlenebilirlik \u201cObservability\u201d G\u00fcc\u00fc<\/strong><\/p>

            Uygulama performans\u0131 + network performans\u0131 + g\u00fcvenlik olaylar\u0131 tek yerde birle\u015fiyor.<\/p>

            Yapay Zeka Tabanl\u0131 Tehdit Analizi<\/strong><\/p>

            Splunk\u2019un AI destekli anomaly detection yap\u0131lar\u0131 Cisco Secure platformuna entegre oluyor.<\/p>

            G\u00fcvenlik Operasyon Merkezi \u201cSOC\u201d Modernizasyonu<\/strong><\/p>

            SOC ekipleri:<\/p>

            • Daha h\u0131zl\u0131 korelasyon,<\/li>
            • Daha az \u201cYanl\u0131\u015f Pozitif \u201d False Positive,<\/li>
            • Daha iyi otomasyon<\/li><\/ul>

              elde ediyor.<\/p>

              2. Isovalent \u2014 Kubernetes ve eBPF Gelece\u011fi<\/strong><\/h4>

              Cloud-native d\u00f6n\u00fc\u015f\u00fcmle birlikte Cisco\u2019nun en stratejik sat\u0131n almalar\u0131ndan biri de:<\/p>

              Isovalent Acquisition by Cisco <\/em><\/strong>oldu.<\/p>

              Isovalent \u00f6zellikle:<\/p>

              • Cilium,<\/li>
              • eBPF,<\/li>
              • Kubernetes networking,<\/li>
              • Cloud-native security alanlar\u0131nda uzmanla\u015fm\u0131\u015ft\u0131.<\/li><\/ul>

                eBPF Neden Bu Kadar Kritik?<\/strong><\/p>

                eBPF modern Linux \u00e7ekirde\u011fi \u00fczerinde \u00e7al\u0131\u015fan son derece g\u00fc\u00e7l\u00fc bir teknoloji.<\/p>

                Avantajlar\u0131:<\/p>

                • Kernel seviyesinde g\u00f6zlemleme<\/li>
                • D\u00fc\u015f\u00fck gecikme<\/li>
                • Y\u00fcksek performans<\/li>
                • Ger\u00e7ek zamanl\u0131 telemetry<\/li>
                • Geli\u015fmi\u015f g\u00fcvenlik visibility<\/li><\/ul>

                  Bug\u00fcn\u00fcn veri merkezlerinde klasik network yakla\u015f\u0131m\u0131 yeterli de\u011fil \u00e7\u00fcnk\u00fc trafik art\u0131k:<\/p>

                  • VM\u2019den VM\u2019ye,<\/li>
                  • Pod\u2019dan Pod\u2019a,<\/li>
                  • Container\u2019dan Container\u2019a ak\u0131yor.<\/li><\/ul>

                    Cisco bu nedenle cloud-native networking taraf\u0131nda da g\u00fc\u00e7l\u00fc hale gelmi\u015f oldu.<\/p>

                    Cisco\u2019nun Hedefi<\/strong><\/p>

                    Cisco art\u0131k yaln\u0131zca fiziksel switch \u00fcretmek istemiyor.<\/p>

                    \u015eirket:<\/p>

                    • Kubernetes A\u011f Yap\u0131lar\u0131 (Kubernetes Networking)<\/li>
                    • Servis A\u011f\u0131 Mimarisi (Service Mesh)<\/li>
                    • Mikro Segmentasyon (Microsegmentation)<\/li>
                    • Konteyner G\u00fcvenli\u011fi (Container Security)<\/li>
                    • G\u00f6zlemlenebilirlik (Observability)<\/li><\/ul>

                      alanlar\u0131nda da lider olabilmek i\u00e7in b\u00fct\u00fcn eksik domainleri tamamlam\u0131\u015f oldu.<\/p>

                      Bu sat\u0131n alma \u00f6zellikle:<\/p>

                      • Hyperscale Veri Merkezleri,<\/li>
                      • Telco Cloud Ortamlar\u0131,<\/li>
                      • AI cluster Altyap\u0131lar\u0131 i\u00e7in kritik g\u00f6r\u00fcl\u00fcyor.<\/li><\/ul>

                        3. Robust Intelligence \u2014 AI G\u00fcvenli\u011finin Yeni \u00c7a\u011f\u0131<\/strong><\/h4>

                        Generative AI kullan\u0131m\u0131n\u0131n patlamas\u0131yla birlikte yeni bir g\u00fcvenlik problemi ortaya \u00e7\u0131kt\u0131:<\/p>

                        \u201cYapay Zeka sistemlerini kim koruyacak?\u201d<\/strong><\/p>

                        Cisco bu soruya cevap verebilmek i\u00e7in:<\/p>

                        Robust Intelligence Acquisition by Cisco <\/em><\/strong>sat\u0131n al\u0131m\u0131n\u0131 ger\u00e7ekle\u015ftirdi.<\/p>

                        Robust Intelligence \u00f6zellikle:<\/p>

                        • B\u00fcy\u00fck Dil Modeli (LLM) G\u00fcvenli\u011fi<\/li>
                        • D\u00fc\u015fmanca Yapay Zek\u00e2 Sald\u0131r\u0131lar\u0131na Kar\u015f\u0131 Koruma<\/li>
                        • Prompt Enjeksiyonu \u00d6nleme<\/li>
                        • Model Do\u011frulama ve Test S\u00fcre\u00e7leri<\/li>
                        • Yapay Zek\u00e2 K\u0131rm\u0131z\u0131 Tak\u0131m (AI Red Teaming) alanlar\u0131nda \u00e7al\u0131\u015f\u0131yordu.<\/li><\/ul>

                          AI G\u00fcvenli\u011fi Neden \u00d6nemli?<\/strong><\/p>

                          Kurumlar art\u0131k:<\/p>

                          • Yapay Zeka Sistemleri,<\/li><\/ul>
                            • Dahili Copilot\u2019lar (Internal Copilots)<\/li>
                            • Yapay Zek\u00e2 Ajanlar\u0131 (AI Agents)<\/li>
                            • RAG Mimarileri (Retrieval-Augmented Generation \/ Geri Getirme Destekli \u00dcretim Mimarileri) kullanmaya ba\u015flad\u0131.<\/li><\/ul>

                              Bu da yeni riskler olu\u015fturuyor:<\/p>

                              • Komut Enjeksiyonu (Prompt Injection)<\/li>
                              • Veri S\u0131z\u0131nt\u0131s\u0131 (Data Leakage)<\/li>
                              • Ger\u00e7ek d\u0131\u015f\u0131 \u00fcretim (Hallucination) \u201cYapay \u00dcretim Hatas\u0131\u201d<\/li>
                              • K\u0131s\u0131t A\u015fma (Jailbreak)<\/li>
                              • Model Zehirleme (Model Poisoning)<\/li>
                              • Yetkisiz Ara\u00e7 Kullan\u0131m\u0131 (Unauthorized Tool Usage)<\/li><\/ul>

                                Yeni G\u00fcvenlik Katman\u0131: AI Runtime Security\u00a0 \u201c Yapay Zeka \u00c7al\u0131\u015fma Zaman\u0131 G\u00fcvenli\u011fi \u201c<\/strong><\/p>

                                Cisco\u2019nun hedefledi\u011fi yeni alan:<\/p>

                                • Yapay Zek\u00e2 i\u015f y\u00fck\u00fc inceleme ve denetimi ( AI Workload Inspection)\u00a0<\/li>
                                • Model Davran\u0131\u015f Analiti\u011fi ( Model Behavior Analytics )<\/li>
                                • B\u00fcy\u00fck Dil Modeli Y\u00f6neti\u015fimi ( LLM Governance )<\/li>
                                • \u00c7\u0131kar\u0131m (inference) S\u00fcre\u00e7lerinin \u0130zlenmesi ( Inference Monitoring)<\/li><\/ul>

                                  Gelece\u011fin g\u00fcvenlik mimarisinde bu konulardan \u00e7ok fazla bahsediyor olaca\u011f\u0131z; \u00e7\u00fcnk\u00fc yapay zek\u00e2 sistemlerinin \u00fcretim ortam\u0131nda ger\u00e7ek zamanl\u0131 olarak izlenmesi, korunmas\u0131 ve y\u00f6neti\u015fimi art\u0131k geleneksel g\u00fcvenlik yakla\u015f\u0131mlar\u0131n\u0131n \u00f6tesinde yeni bir g\u00fcvenlik katman\u0131 olarak konumlanmaktad\u0131r.<\/p>

                                  4. Galileo \u2014 AI Observability, LLM Monitoring (Yapay Zeka G\u00f6zlemlenebilirli\u011fi ve B\u00fcy\u00fck Dil Modeli \u0130zleme)<\/strong><\/h4>

                                  Yapay zeka sistemleri b\u00fcy\u00fcd\u00fck\u00e7e verilerde b\u00fcy\u00fcd\u00fc, yeni bir ihtiya\u00e7 ortaya \u00e7\u0131kt\u0131:<\/p>

                                  \u201cAI modeli ger\u00e7ekten do\u011fru \u00e7al\u0131\u015f\u0131yor mu?\u201d<\/strong><\/p>

                                  \u0130\u015fte burada:
                                  Galileo Acquisition by Cisco <\/em><\/strong>\u00f6n plana \u00e7\u0131k\u0131yor.<\/p>

                                  Galileo \u00f6zellikle:<\/p>

                                  • Hal\u00fcsinasyon Tespiti (Hallucination Detection)<\/li>
                                  • B\u00fcy\u00fck Dil Modeli G\u00f6zlemlenebilirli\u011fi (LLM Observability)<\/li>
                                  • Yapay Zeka Kalite \u0130zleme (AI Quality Monitoring)<\/li>
                                  • Model De\u011ferlendirme S\u00fcre\u00e7leri (Evaluation Pipelines)<\/li>
                                  • Komut Analitikleri\u00a0 (Prompt Analytics)

                                    alanlar\u0131nda uzmanla\u015fm\u0131\u015f durumda.<\/p><\/li><\/ul>

                                    Yapay Zeka Operasyonlar\u0131n\u0131n Yeni Problemi Neler?<\/strong><\/p>

                                    Kurumlar art\u0131k yaln\u0131zca model \u00e7al\u0131\u015ft\u0131rmak istemiyor.<\/p>

                                    \u015eunlar\u0131 da g\u00f6rmek istiyor:<\/p>

                                    • Model hata yap\u0131yor mu?<\/li>
                                    • Yanl\u0131\u015f veri \u00fcretiyor mu?<\/li>
                                    • G\u00fcvenlik riski olu\u015fturuyor mu?<\/li>
                                    • Kullan\u0131c\u0131y\u0131 yan\u0131lt\u0131yor mu?<\/li>
                                    • Hangi komutlar problem yarat\u0131yor?<\/li><\/ul>

                                      Cisco burada observability deneyimini AI d\u00fcnyas\u0131na ta\u015f\u0131yor.<\/p>

                                      5. Astrix Security \u2014 Non-Human Identity (\u0130nsan D\u0131\u015f\u0131 Kimlik)<\/strong><\/h4>

                                      2025\u2019in en dikkat \u00e7ekici sat\u0131n almalar\u0131ndan biri ise Astrix \u00fcr\u00fcn\u00fc.<\/p>

                                      \u201cAstrix Security Acquisition by Cisco\u201d<\/em><\/strong><\/p>

                                      Non-Human Identity (NHI) Nedir?<\/strong><\/p>

                                      Eskiden g\u00fcvenlik:<\/p>

                                      • Kullan\u0131c\u0131 Hesab\u0131,<\/li>
                                      • Dizin Hizmeti (Active Directory)<\/li>
                                      • \u00c7ok Fakt\u00f6rl\u00fc Kimlik Do\u011frulama (MFA) etraf\u0131nda \u015fekilleniyordu.<\/li><\/ul>

                                        Bug\u00fcn ise sistemlerde:<\/p>

                                        • Servis Hesaplar\u0131 (Servis Account)<\/li>
                                        • Uygulama Programlama Aray\u00fcz\u00fc (API key)<\/li>
                                        • A\u00e7\u0131k Yetkilendirme Protokol\u00fc Belirte\u00e7leri (OAuth token)<\/li>
                                        • Yapay Zeka Ajanlar\u0131 Kimlikleri (AI Agent Identity)<\/li>
                                        • Otomasyon Botlar\u0131 (Automation Bot) daha fazla kullan\u0131l\u0131r hale geldi.<\/li><\/ul>

                                          \u0130\u015fte bunlara: Non-Human Identity (NHI)<\/strong> ad\u0131 veriliyor.<\/p>

                                          Yapay Zeka Ajan G\u00fcvenli\u011fi \u00a0(AI Agent) Yeni Sava\u015f Alan\u0131<\/strong><\/p>

                                          \u00d6zellikle Agentic AI sistemlerinde:<\/p>

                                          • Yapay zek\u00e2lar API \u00e7a\u011fr\u0131lar\u0131 yap\u0131yor (AI API)<\/li>
                                          • Veritaban\u0131 (database) eri\u015fiyor,<\/li>
                                          • \u0130\u015f Ak\u0131\u015f\u0131 (workflow) \u00e7al\u0131\u015ft\u0131r\u0131yor,<\/li>
                                          • Hizmet olarak Yaz\u0131l\u0131m (SaaS) platformlar\u0131yla konu\u015fuyor.<\/li><\/ul>

                                            Bu durum devasa risk olu\u015fturuyor.<\/p>

                                            Astrix burada:<\/p>

                                            • API Anahtar ke\u015ffi (API Key Discovery)<\/li>
                                            • A\u00e7\u0131k Yetkilendirme Protokol\u00fc K\u00f6t\u00fcye Kullan\u0131m Tesbiti (OAuth Abuse Detection)<\/li>
                                            • Eri\u015fim Y\u00f6neti\u015fimi (Token Governance)<\/li>
                                            • Makine Kimli\u011fi G\u00fcvenli\u011fi (Machine Identity Security) sa\u011fl\u0131yor.<\/li><\/ul>

                                              Cisco\u2019nun hedefi: \u201cAI agent\u2019lar\u0131 Zero Trust prensibiyle y\u00f6netmek.\u201d<\/strong><\/p>

                                              T\u00fcm bu sat\u0131n almalar birlikte de\u011ferlendirildi\u011finde ortaya \u00e7ok net bir resim \u00e7\u0131k\u0131yor.<\/p>

                                              Cisco art\u0131k:<\/p>

                                              • Yaln\u0131zca network \u015firketi de\u011fil<\/li>
                                              • Yaln\u0131zca firewall \u00fcreticisi de\u011fil<\/li>
                                              • Yaln\u0131zca veri merkezi \u015firketi de\u011fil<\/li><\/ul>

                                                Cisco kendisini \u015fu alanda konumland\u0131r\u0131yor: \u201cAI destekli g\u00fcvenlik ve operasyon platformu\u201d<\/strong><\/p>

                                                Gelecekte Bizi Ne Bekliyor?<\/strong><\/p>

                                                \u00d6n\u00fcm\u00fczdeki birka\u00e7 y\u0131l i\u00e7inde Cisco\u2019dan \u015funlar\u0131 g\u00f6rmemiz muhtemel:<\/p>

                                                1. Yapay Zeka Yerle\u015fik G\u00fcvenlik Operasyon Merkezi (AI Native SOC)<\/strong><\/li><\/ol>

                                                  SOC analistlerinin yerini k\u0131smen AI Agent\u2019lar alacak.<\/p>

                                                  1. Otonom G\u00fcvenlik Operasyonlar\u0131 (Autonomous Security Operations)<\/strong><\/li><\/ol>

                                                    Tehdit tespiti ve m\u00fcdahale b\u00fcy\u00fck \u00f6l\u00e7\u00fcde otomatikle\u015fecek.<\/p>

                                                    1. Yapay Zeka \u00c7al\u0131\u015fma Zaman\u0131 G\u00fcvenli\u011fi (AI Runtime Security)<\/strong><\/li><\/ol>

                                                      LLM ve AI workload g\u00fcvenli\u011fi yeni standart olacak.<\/p>

                                                      1. Derin G\u00f6zmelenebilirlik (Deep Observability)<\/strong><\/li><\/ol>

                                                        Network + Application + AI telemetry birle\u015fecek.<\/p>

                                                        1. \u0130nsan D\u0131\u015f\u0131 Kimlik Y\u00f6neti\u015fimi (Non-Human Identity Governance)<\/strong><\/li><\/ol>

                                                          Makine kimlikleri insanlardan daha \u00f6nemli hale gelecek.<\/p>

                                                          Sonu\u00e7 olarak;<\/strong><\/p>

                                                          Cisco\u2019nun son d\u00f6nemde yapt\u0131\u011f\u0131 sat\u0131n almalar tesad\u00fcfi de\u011fil Cisco\u2019nun vizyonu ve misyonunu g\u00f6steriyor.<\/p>

                                                          Cisco:<\/p>

                                                          • Yapay Zeka<\/li>
                                                          • Security<\/li>
                                                          • G\u00f6zlemlenebilirlik<\/li>
                                                          • Kimlik<\/li>
                                                          • Bulut yerel ( Cloud-Native ) altyap\u0131lar

                                                            \u00fczerine yeni nesil bir teknoloji platformu in\u015fa ediyor.<\/p><\/li><\/ul>

                                                            \u00d6zellikle:<\/p>

                                                            • Splunk<\/li>
                                                            • Isovalent<\/li>
                                                            • Robust Intelligence<\/li>
                                                            • Galileo<\/li>
                                                            • Astrix Security<\/li><\/ul>

                                                              sat\u0131n almalar\u0131 birlikte de\u011ferlendirildi\u011finde Cisco\u2019nun hedeflerinden en belirginlerinden bir tanesi \u00a0\u201cGelece\u011fin AI destekli hibrit altyap\u0131s\u0131n\u0131 g\u00fcvenli, g\u00f6r\u00fcn\u00fcr ve otonom hale getirmek\u201d oldu\u011funu s\u00f6ylemek yanl\u0131\u015f olmaz.<\/p>

                                                              Bu d\u00f6n\u00fc\u015f\u00fcm yaln\u0131zca Cisco i\u00e7in de\u011fil, t\u00fcm siber g\u00fcvenlik sekt\u00f6r\u00fc i\u00e7in yeni bir d\u00f6nemin ba\u015flang\u0131c\u0131 olabilir.<\/p>

                                                              T\u00fcm bu sat\u0131n almalar birlikte de\u011ferlendirildi\u011finde, Cisco\u2019nun gelece\u011fi yaln\u0131zca a\u011flar \u00fczerinden de\u011fil; veri, kimlik, g\u00fcvenlik ve yapay zek\u00e2 ekseninde \u015fekillendirmeyi hedefledi\u011fi g\u00f6r\u00fclmektedir. \u015eirketin att\u0131\u011f\u0131 ad\u0131mlar, \u00f6n\u00fcm\u00fczdeki d\u00f6nemde rekabetin a\u011f performans\u0131ndan \u00e7ok, yapay zek\u00e2 destekli g\u00f6r\u00fcn\u00fcrl\u00fck, g\u00fcvenlik ve otonom operasyon kabiliyetleri \u00fczerinden ya\u015fanaca\u011f\u0131n\u0131n g\u00fc\u00e7l\u00fc bir g\u00f6stergesidir.<\/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":"

                                                              Author: Fatih Ermis | Senior Solution Consultant<\/p>\n

                                                              Cisco\u2019nun son y\u0131llardaki sat\u0131n alma stratejisi incelendi\u011finde, \u015firketin yaln\u0131zca \u00fcr\u00fcn portf\u00f6y\u00fcn\u00fc geni\u015fletmeye \u00e7al\u0131\u015fmad\u0131\u011f\u0131 g\u00f6r\u00fclmektedir. As\u0131l hedef, a\u011f, g\u00fcvenlik, g\u00f6zlemlenebilirlik ve yapay zek\u00e2 operasyonlar\u0131n\u0131 ortak bir veri katman\u0131nda birle\u015ftiren entegre bir platform olu\u015fturmakt\u0131r. Kurumlar i\u00e7in as\u0131l de\u011fer, farkl\u0131 \u00fcreticilerden gelen onlarca \u00fcr\u00fcn\u00fcn \u00fcretti\u011fi veriyi tek ba\u015f\u0131na toplamak de\u011fil, bu verileri anlaml\u0131 hale getirebilmektir.<\/p>","protected":false},"author":11,"featured_media":998395,"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":[117,115,205],"tags":[217,218,219,172,220,216,211],"class_list":["post-998381","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-networking","category-security-blog","category-yapay-zeka","tag-ag-guvenligi","tag-ai-security","tag-bulut-guvenligi","tag-cisco","tag-observability","tag-siber-guvenlik","tag-zero-trust"],"yoast_head":"\nCisco\u2019nun Yapay Zek\u00e2 ve Siber G\u00fcvenlik D\u00f6n\u00fc\u015f\u00fcm\u00fc - 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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