{"id":998155,"date":"2026-04-16T17:20:28","date_gmt":"2026-04-16T14:20:28","guid":{"rendered":"https:\/\/www.morten.com.tr\/?p=998155"},"modified":"2026-04-17T10:22:53","modified_gmt":"2026-04-17T07:22:53","slug":"agentic-ai-galileo-ile-guvenli-otonom-yapay-zeka-ve-orkestrasyon-cagi-2","status":"publish","type":"post","link":"https:\/\/www.morten.com.tr\/en\/agentic-ai-galileo-ile-guvenli-otonom-yapay-zeka-ve-orkestrasyon-cagi-2\/","title":{"rendered":"Agentic AI + Galileo ile G\u00fcvenli, Otonom Yapay Zeka ve Orkestrasyon \u00c7a\u011f\u0131"},"content":{"rendered":"
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Yazar:\u00a0 Murat G\u00f6k | K\u0131demli A\u011f ve G\u00fcvenlik Uzman\u0131
<\/strong><\/p>

Multi-Agent \u00b7 Orkestrasyon \u00b7 Bellek \u00b7 G\u00fcven<\/p>

AI art\u0131k yaln\u0131zca bir asistan de\u011fil sistemleri y\u00f6neten, kararlar alan ve d\u00fcnyay\u0131 de\u011fi\u015ftiren bir operat\u00f6r. Bu d\u00f6n\u00fc\u015f\u00fcm\u00fcn mimarisi, kurallar\u0131 ve gelece\u011fi.<\/p>

Karar H\u0131z\u0131<\/strong><\/p><\/td>

Paralel Agent<\/strong><\/p><\/td>

Otonom Op.<\/strong><\/p><\/td>

Bekleme<\/strong><\/p><\/td><\/tr><\/thead>

10x<\/p><\/td>

\u221e<\/p><\/td>

7\/24<\/p><\/td>

%0<\/p><\/td><\/tr><\/tbody><\/table>

TEMEL KAVRAMLAR<\/h4>

Otomasyondan \u00d6zerkli\u011fe: Paradigma K\u0131r\u0131lmas\u0131<\/h4>

AI sistemleri art\u0131k sorular\u0131 beklemek yerine hedefleri analiz edip kendi eylem planlar\u0131n\u0131 olu\u015fturuyor<\/strong>, ara\u00e7lar\u0131 devreye al\u0131yor ve sonu\u00e7lar\u0131 ba\u011f\u0131ms\u0131z olarak de\u011ferlendiriyor. Bu, otomasyonun \u00f6tesinde bir \u015fey \u00f6zerklik.<\/p>

“Otomasyon belirli ad\u0131mlar\u0131 makinelere yapt\u0131r\u0131r. \u00d6zerklik ise hangi ad\u0131mlar\u0131n at\u0131laca\u011f\u0131na makinenin kendisinin karar vermesidir.”<\/em><\/p>

\u2014 Agentic AI Manifestosu \u00b7 2026<\/strong><\/p>

Agentic sistemlerin d\u00f6rt temel \u00f6zelli\u011fi: Alg\u0131lama (\u00e7evreyi okumak), Planlama (hedefi ad\u0131mlara b\u00f6lmek), Ara\u00e7 Kullan\u0131m\u0131 (d\u0131\u015f sistemlere eri\u015fmek) ve \u00d6\u011frenme (sonu\u00e7lardan bellekle g\u00fcncellenmek).<\/p>

\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u2014 Fig\u00fcr 1 \u2014 Agentic Sistem Anatomisi \u2014<\/p>

\ud83d\udc41<\/p>

\u00b7 Alg\u0131lama<\/p>

\u00b7 Veri Ak\u0131\u015f\u0131<\/p>

\u00b7 API<\/p>

\u00b7 Webhook<\/p>

\u00b7 Stream<\/p><\/td>

\ud83e\udde0<\/p>

\u00b7 Planlama<\/p>

\u00b7 Hedef Ayr\u0131\u015ft\u0131rma<\/p>

\u00b7 Strateji Se\u00e7imi<\/p><\/td>

\u26a1<\/p>

\u00b7 Eylem<\/p>

\u00b7 Ara\u00e7 \u00c7a\u011fr\u0131s\u0131<\/p>

\u00b7 Sistem Etkisi<\/p><\/td>

\ud83d\udcda<\/p>

\u00b7 \u00d6\u011frenme<\/p>

\u00b7 Sonu\u00e7 De\u011ferlendirme<\/p>

\u00b7 Bellek G\u00fcncelleme<\/p><\/td><\/tr><\/tbody><\/table>

ORKESTRASYON M\u0130MAR\u0130S\u0130<\/h4>

Tek Ajandan Ajan Ekosistemine<\/h4>

Multi-agent sistemler<\/strong>, her biri kendi uzmanl\u0131k alan\u0131nda derinle\u015fmi\u015f ajanlar\u0131n koordineli \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flar. Google ADK bu orkestrasyonun referans mimarisi haline geliyor ajanlar aras\u0131 ileti\u015fim protokol\u00fc, bellek y\u00f6netimi ve ara\u00e7 entegrasyon standard\u0131.<\/strong><\/p>

Orkestrasyon Tasar\u0131m Prensipleri<\/h4>

\ud83c\udfaf<\/p>

Tek Sorumluluk<\/strong><\/p>

Her ajan yaln\u0131zca bir domain’in ustas\u0131d\u0131r. Ajanlar birbirinin alan\u0131na girmez.<\/p><\/td>

\ud83d\udd12<\/p>

Minimum Yetki<\/strong><\/p>

Bir ajan yaln\u0131zca g\u00f6revi i\u00e7in gereken ara\u00e7lara eri\u015fir. Yetki s\u0131n\u0131rlar\u0131 mimarisel.<\/p><\/td>

\ud83d\udd01<\/p>

Ba\u011f\u0131ms\u0131z Ba\u015far\u0131s\u0131zl\u0131k<\/strong><\/p>

Bir ajan\u0131n \u00e7\u00f6kmesi di\u011ferlerini durduramaz. Graceful degradation zorunludur.<\/p><\/td><\/tr><\/tbody><\/table>

\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u2014 Fig\u00fcr 2 \u2014 Multi-Agent Orkestrasyon Modelleri \u2014<\/p>

\ud83c\udf10<\/p>

Hub & Spoke<\/strong><\/p>

Router\/Orchestrator uzman ajanlara y\u00f6nlendirir. Merkezi kontrol noktas\u0131.<\/p><\/td>

\u26d3<\/p>

Pipeline<\/strong><\/p>

Veri Toplama \u2192 Analiz \u2192 Karar \u2192 Aksiyon. Her a\u015fama bir ajan.<\/p><\/td>

\ud83d\udc1d<\/p>

Swarm<\/strong><\/p>

Ajanlar mesh ileti\u015fim kurar. Konsens\u00fcs ile karar al\u0131n\u0131r.<\/p><\/td><\/tr><\/tbody><\/table>

B\u0130L\u0130\u015eSEL ALTYAPI<\/h4>

Bellek: Agentic Sistemlerin Sinir Sistemi<\/h4>

Bir AI ajan\u0131n\u0131n ne kadar zeki oldu\u011fu kadar ne kadar iyi hat\u0131rlad\u0131\u011f\u0131<\/strong> da \u00f6nemlidir. Bellek d\u00f6rt katmanda organize edilir. Geleneksel yaz\u0131l\u0131m belleksiz \u00e7al\u0131\u015f\u0131r. Agentic sistemler ise ba\u011flam biriktirir zamanla daha de\u011ferli hale gelir.<\/p>

\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u2014 Fig\u00fcr 3 \u2014 Bellek Katmanlar\u0131 \u2014<\/p>

WORKING MEMORY<\/strong><\/p><\/td>

\u00b7 Aktif oturum ba\u011flam\u0131<\/p>

\u00b7 Mevcut g\u00f6rev durumu<\/p>

\u00b7 Anl\u0131k ara\u00e7 \u00e7\u0131kt\u0131lar\u0131<\/p><\/td>

\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0ms\u2013saniye \u00b7 RAM<\/p><\/td><\/tr>

EPISODIC MEMORY<\/strong><\/p><\/td>

\u00b7 Olay ge\u00e7mi\u015fi<\/p>

\u00b7 Karar audit log<\/p>

\u00b7 \u00d6nceki aksiyonlar<\/p>

\u00b7 Incident kay\u0131tlar\u0131<\/p><\/td>

\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0g\u00fcn\u2013ay \u00b7 Firestore<\/p><\/td><\/tr>

SEMANTIC MEMORY<\/strong><\/p><\/td>

\u00b7 Bilgi taban\u0131<\/p>

\u00b7 Runbook<\/p>

\u00b7 CVE DB<\/p>

\u00b7 Domain ontolojisi<\/p>

\u00b7 RAG indexi<\/p><\/td>

\u00a0 \u00a0 \u00a0 \u00a0 \u00a0kal\u0131c\u0131 \u00b7 Vector DB<\/p><\/td><\/tr>

PROCEDURAL<\/strong><\/p><\/td>

\u00b7 \u00d6\u011frenilmi\u015f davran\u0131\u015flar<\/p>

\u00b7 Fine-tuned model a\u011f\u0131rl\u0131klar\u0131<\/p>

\u00b7 Embedded skillset<\/p><\/td>

\u00a0 \u00a0 \u00a0 \u00a0 \u00a0training \u00b7 Weights<\/p><\/td><\/tr><\/tbody><\/table>

\ud83d\udd25 Hot (< 10ms)\u00a0\u00a0\u00a0\u00a0 \ud83c\udf21 Warm (< 100ms)\u00a0\u00a0\u00a0\u00a0 \u2744 Cold (async)<\/p>

G\u00dcVEN M\u0130MAR\u0130S\u0130<\/strong><\/p>

Otonom G\u00fcc\u00fcn G\u00fcvenli\u011fi !<\/h4>

“G\u00fcven, sistemin ne kadar zeki oldu\u011fuyla de\u011fil ne zaman, nas\u0131l ve neden aksiyon ald\u0131\u011f\u0131n\u0131 ne kadar net a\u00e7\u0131klayabildi\u011fiyle \u00f6l\u00e7\u00fcl\u00fcr.”<\/em><\/p>

\u2014 Zero Trust AI Manifestosu<\/strong><\/p>

KATMAN I \u00b7 YAPISAL<\/strong><\/p>

Zero Trust Gate<\/p>

Her aksiyon g\u00fcven kap\u0131s\u0131ndan ge\u00e7er. Skor e\u015fi\u011fin alt\u0131ndaysa red + audit log.<\/p><\/td>

KATMAN II \u00b7 \u0130\u00c7ER\u0130K \u00b7 GALILEO<\/strong><\/p>

AI Output Kalitesi<\/p>

Luna-2 ile %100 trafik de\u011ferlendirilir. Hallucination score, context adherence.<\/p><\/td><\/tr>

KATMAN III \u00b7 EXECUTION<\/strong><\/p>

Agent Sandboxing<\/p>

Kernel-level enforcement. Credential’lar asla dosya sistemine s\u0131zmaz.<\/p><\/td>

KATMAN IV \u00b7 DENET\u0130M<\/strong><\/p>

Human-in-the-Loop<\/p>

P1 kritik aksiyonlar insan onay\u0131na sunulur. HITL kapsam\u0131 daralt\u0131l\u0131r ama s\u0131f\u0131rlanmaz.<\/p><\/td><\/tr><\/tbody><\/table>

SATIN ALIM ANAL\u0130Z\u0130<\/strong><\/p>

Cisco \u00d7 Galileo: AI G\u00fcven Katman\u0131n\u0131n Tamamlanmas\u0131<\/h4>

\u00a0 “Galileo was purpose-built to solve one of the hardest problems in AI: Trust.”<\/em><\/p>

\u00a0 \u2014 Kamal Hathi, SVP & GM \u00b7 Splunk at Cisco<\/strong><\/p>

Cisco, 9 Nisan 2026’da Galileo Technologies’i sat\u0131n alma niyetini a\u00e7\u0131klad\u0131. $68M toplam yat\u0131r\u0131m, %834 gelir b\u00fcy\u00fcmesi. Luna-2: $0.02\/1M token %97 daha ucuz.<\/p>

Galileo \u00dc\u00e7 Mod\u00fcl\u00fc<\/h4>

\ud83d\udc41<\/p>

Observe<\/strong><\/p>

Ger\u00e7ek zamanl\u0131 izleme. Hal\u00fcsinasyon tespiti, hata modlar\u0131, latency. 3 g\u00fcn \u2192 dakikalar.<\/p><\/td>

\u2697\ufe0f<\/p>

Evaluate<\/strong><\/p>

20+ metrik: hallucination score, context adherence, tool selection quality.<\/p><\/td>

\ud83d\udee1\ufe0f<\/p>

Protect<\/strong><\/p>

Runtime guardrails. \u0130\u00e7erik g\u00fcvenlik filtresi. Dev \u2192 prod guardrail d\u00f6n\u00fc\u015f\u00fcm\u00fc.<\/p><\/td><\/tr><\/tbody><\/table>

Galileo Neyi Kapat\u0131yor?<\/h4>

K\u00f6r Nokta<\/strong><\/p><\/td>

\u00d6ncesi<\/strong><\/p><\/td>

Galileo Sonras\u0131<\/strong><\/p><\/td><\/tr><\/thead>

Hallucination riski<\/p><\/td>

\u274c Tespit yok<\/p><\/td>

\u2705 Luna-2 ger\u00e7ek zamanl\u0131 skorlama<\/p><\/td><\/tr>

Tool se\u00e7im kalitesi<\/p><\/td>

\u274c K\u00f6r nokta<\/p><\/td>

\u2705 Tool Selection Quality metri\u011fi<\/p><\/td><\/tr>

Context sadakati<\/p><\/td>

\u274c Do\u011frulama yok<\/p><\/td>

\u2705 Context Adherence skoru<\/p><\/td><\/tr>

\u0130zleme maliyeti<\/p><\/td>

\u274c ~$6.248\/ay<\/p><\/td>

\u2705 $0.02\/1M token \u00b7 %97 d\u00fc\u015f\u00fck<\/p><\/td><\/tr><\/tbody><\/table>

ENTEGRASYON EKOSISTEMI<\/strong><\/p>

MCP ile S\u0131n\u0131rs\u0131z Ba\u011flant\u0131<\/h4>

Model Context Protocol (MCP)<\/strong>, ajanlar\u0131n d\u0131\u015f sistemlerle standart bir arabirim \u00fczerinden g\u00fcvenle ileti\u015fim kurmas\u0131n\u0131 sa\u011flar. Yeni bir sistem eklemek = yeni bir MCP sunucusu yazmak.<\/strong> Geri kalan mimari de\u011fi\u015fmez.<\/p>

\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u2014 Fig\u00fcr 5 \u2014 MCP Ekosistem Topolojisi \u2014<\/p>

\ud83d\udd10<\/p>

\u00b7 Security Domain<\/p>

FW\/IPS<\/p>

\u00b7 Identity\/NAC<\/p>

\u00b7 Threat Intel\/XDR<\/p>

\u00b7 DNS Security<\/p><\/td>

\ud83c\udfd7<\/p>

\u00b7 Infrastructure Data\u00a0 \u00a0 \u00a0 \u00a0 Center\/Fabric<\/p>

\u00b7 SD-WAN<\/p>

\u00b7 Campus\/Wireless<\/p><\/td>

\ud83d\udcca<\/p>

\u00b7 Operations\u00a0 Observability<\/p>

\u00b7 Galileo\/Luna-2<\/p>

\u00b7 ITSM\/CMDB<\/p><\/td>

\ud83d\udd2e<\/p>

\u00b7 Emerging IoT\/OT<\/p>

\u00b7 Cloud Native\/K8s<\/p>

\u00b7 Custom REST API<\/p><\/td><\/tr><\/tbody><\/table>

Mevcut & Planlanan Entegrasyonlar<\/h4>

Vendor \/ Sistem<\/strong><\/p><\/td>

Durum<\/strong><\/p><\/td>

Domain<\/strong><\/p><\/td><\/tr><\/thead>

Cisco Security<\/p><\/td>

\ud83d\udd35 Aktif<\/p><\/td>

Security<\/p><\/td><\/tr>

Cisco ACI \/ SD-WAN<\/p><\/td>

\ud83d\udd35 Aktif<\/p><\/td>

Infrastructure<\/p><\/td><\/tr>

Splunk ES<\/p><\/td>

\ud83d\udd35 Aktif<\/p><\/td>

Operations<\/p><\/td><\/tr>

Galileo<\/p><\/td>

\ud83d\udfe2 Yeni<\/p><\/td>

Operations<\/p><\/td><\/tr>

ServiceNow ITSM<\/p><\/td>

\ud83d\udfe2 Planlanan<\/p><\/td>

Operations<\/p><\/td><\/tr>

CrowdStrike EDR<\/p><\/td>

\ud83d\udfe2 Planlanan<\/p><\/td>

Security<\/p><\/td><\/tr>

Palo Alto \/ MS Defender<\/p><\/td>

\u26aa Gelecek<\/p><\/td>

Security<\/p><\/td><\/tr><\/tbody><\/table>

GELECEK PERSPEKT\u0130F\u0130<\/strong><\/p>

2025\u20132030: Agentic AI Yol Haritas\u0131<\/h4>

Agentic AI’\u0131n \u00f6n\u00fcm\u00fczdeki be\u015f y\u0131ldaki evrimi \u00fc\u00e7 paralel kol \u00fczerinde ilerleyecek: teknik olgunla\u015fma<\/strong>, ekosistem standardizasyonu<\/strong> (MCP, AGNTCY) ve kurumsal g\u00fcven in\u015fas\u0131<\/strong> (a\u00e7\u0131klanabilirlik, denetim, reg\u00fclasyon). Bu \u00fc\u00e7 kol birlikte ilerledi\u011finde ger\u00e7ek anlamda \u00f6zerk operasyonlar m\u00fcmk\u00fcn olacak.<\/p>

A\u015fa\u011f\u0131daki kilometre ta\u015flar\u0131 ki\u015fisel \u00f6ng\u00f6r\u00fc de\u011fil; Gartner, Deloitte ve IDC’nin yay\u0131mlad\u0131\u011f\u0131 g\u00fcncel ara\u015ft\u0131rma ve tahminlere dayanmaktad\u0131r.<\/p>

D\u00f6nem<\/strong><\/p><\/td>

D\u00f6n\u00fcm Noktas\u0131<\/strong><\/p><\/td>

Detay<\/strong><\/p><\/td><\/tr><\/thead>

2025\u20132026 \u00b7 \u015eimdi<\/p><\/td>

Uzman Ajan Olgunla\u015fmas\u0131<\/p><\/td>

Gartner, 2026 sonu itibar\u0131yla kurumsal uygulamalar\u0131n %40’\u0131n\u0131n g\u00f6reve \u00f6zel AI agent’larla entegre edilece\u011fini \u00f6ng\u00f6r\u00fcyor 2025’teki %5’in alt\u0131ndaki seviyeden dramatik bir s\u0131\u00e7rama. Ancak tablonun bir de ters y\u00fcz\u00fc var: ayn\u0131 rapora g\u00f6re agentic AI projelerinin %40’tan fazlas\u0131 2027 sonuna kadar iptal edilecek; artan maliyetler, belirsiz i\u015f de\u011feri ve yetersiz risk kontrolleri bu ba\u015far\u0131s\u0131zl\u0131\u011f\u0131n \u00fc\u00e7 temel nedeni. MCP standart entegrasyon protokol\u00fc olarak yerle\u015fiyor; Galileo ile AI \u00e7\u0131kt\u0131 kalitesi \u00f6l\u00e7\u00fclebilir hale geliyor. (Kaynak: Gartner, 2025)<\/p><\/td><\/tr>

2026\u20132027 \u00b7 Yak\u0131n<\/p><\/td>

Multi-Agent \u0130\u015fbirli\u011fi<\/p><\/td>

Gartner, 2027’de agentic AI uygulamalar\u0131n\u0131n \u00fc\u00e7te birinin karma\u015f\u0131k g\u00f6revleri y\u00f6netmek i\u00e7in farkl\u0131 uzmanl\u0131klara sahip agent’lar\u0131 bir arada kullanaca\u011f\u0131n\u0131 tahmin ediyor. Deloitte ise GenAI kullanan kurumlar\u0131n %50’sinin 2027’ye kadar otonom AI agent’lar\u0131 devreye alaca\u011f\u0131n\u0131 \u00f6ng\u00f6r\u00fcyor 2025’teki %25 seviyesinin iki kat\u0131. AGNTCY a\u00e7\u0131k standard\u0131yla agent-to-agent ileti\u015fim protokol\u00fc olgunla\u015f\u0131yor; Duo Agentic Identity ile agent kimlik do\u011frulama kurumsal standart haline geliyor. (Kaynak: Gartner, Deloitte, 2025)<\/p><\/td><\/tr>

2027\u20132028 \u00b7 Orta<\/p><\/td>

Ekosistem Entegrasyonu<\/p><\/td>

Gartner, 2028’e kadar kurumsal yaz\u0131l\u0131m uygulamalar\u0131n\u0131n %33’\u00fcne agentic AI’\u0131n g\u00f6m\u00fclece\u011fini ve g\u00fcnl\u00fck i\u015f kararlar\u0131n\u0131n en az %15’inin otonom olarak al\u0131naca\u011f\u0131n\u0131 tahmin ediyor. Agent ekosistemleri birden fazla uygulama ve i\u015f fonksiyonu genelinde dinamik \u015fekilde i\u015f birli\u011fi yapan uzman a\u011flar\u0131na d\u00f6n\u00fc\u015f\u00fcyor. eBPF\/Cilium tabanl\u0131 kernel-level enforcement olgunla\u015f\u0131yor; Cisco HyperShield AI kararlar\u0131n\u0131 a\u011f paket d\u00fczeyinde denetliyor. (Kaynak: Gartner, 2025)<\/p><\/td><\/tr>

2029\u20132030+<\/p><\/td>

Tam Otonom Operasyon<\/p><\/td>

Gartner, 2029’a kadar agentic AI’\u0131n yayg\u0131n m\u00fc\u015fteri hizmetleri sorunlar\u0131n\u0131n %80’ini insan m\u00fcdahalesi olmadan \u00e7\u00f6zece\u011fini ve operasyonel maliyetlerde %30 azalma sa\u011flayaca\u011f\u0131n\u0131 \u00f6ng\u00f6r\u00fcyor. Kritik altyap\u0131 agent’lar taraf\u0131ndan 7\/24 y\u00f6netiliyor; insan rol\u00fc stratejik y\u00f6netim ve istisna onay\u0131na odaklan\u0131yor. Zero Trust, Galileo kalite g\u00fcvencesi ve kernel-level enforcement standart reg\u00fclasyon gereklilikleri haline geliyor. (Kaynak: Gartner, 2025)<\/p><\/td><\/tr><\/tbody><\/table>

*Kaynaklar: Gartner Emerging Tech: The Future of Agentic AI (2025) \u00b7 Gartner Top Strategic Predictions 2026 \u00b7 Deloitte AI Adoption Survey 2025 \u00b7 IDC AI Spending Forecast 2025\u20132029*<\/p>

SONU\u00c7<\/strong><\/p>

Y\u00f6netmekten Y\u00f6netilmeye<\/h4>

Gelece\u011fin a\u011f ve g\u00fcvenlik m\u00fchendisi art\u0131k \u015funu bilmek zorunda: bir agent’\u0131n ne yapt\u0131\u011f\u0131n\u0131 de\u011fil, neden \u00f6yle davrand\u0131\u011f\u0131n\u0131 sorgulamak. Bunun i\u00e7in gereken beceriler de\u011fi\u015fiyor konfig\u00fcrasyon yazmak de\u011fil, g\u00fcven mimarisi tasarlamak: Zero Trust politikas\u0131, Galileo kalite metrikleri, eBPF tabanl\u0131 kernel enforcement ve insan g\u00f6zetim noktalar\u0131. Cisco ve daha bir cok global \u00fcreticinin AI ve Agentic AI yat\u0131r\u0131mlar\u0131 bu d\u00f6n\u00fc\u015f\u00fcm\u00fc desteklemektedir.<\/p>

Kritik sorun h\u0131z de\u011fil g\u00fcven. Galileo ile i\u00e7erik kalitesi, Zero Trust Gate ile yap\u0131sal uyum, sandbox ile \u00e7al\u0131\u015fma zaman\u0131 g\u00fcvenli\u011fi: bu \u00fc\u00e7\u00fc olmadan \u00f6zerklik verilmez.<\/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: \u00a0Murat G\u00f6k | K\u0131demli A\u011f ve G\u00fcvenlik Uzman\u0131<\/p>\n

Multi-Agent \u00b7 Orkestrasyon \u00b7 Bellek \u00b7 G\u00fcven<\/p>\n

AI art\u0131k yaln\u0131zca bir asistan de\u011fil sistemleri y\u00f6neten, kararlar alan ve d\u00fcnyay\u0131 de\u011fi\u015ftiren bir operat\u00f6r. Bu d\u00f6n\u00fc\u015f\u00fcm\u00fcn mimarisi, kurallar\u0131 ve gelece\u011fi.<\/p>","protected":false},"author":11,"featured_media":998162,"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":[206,212,210,208,209,207,211],"class_list":["post-998155","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-yapay-zeka","tag-agentic-ai","tag-cisco-hypershield","tag-galileo","tag-google-adk","tag-mcp-protocol","tag-multi-agent","tag-zero-trust"],"yoast_head":"\nAgentic AI + Galileo ile G\u00fcvenli, Otonom Yapay Zeka ve Orkestrasyon \u00c7a\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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