專家表示，人工智慧的實施將重塑網路架構和程序

許多專家表示，人工智慧實施的繁重網路和安全需求將需要改善架構和安全工具，而適合人工智慧的工具本身可能需要由人工智慧管理。

The heavy networking and security demands of AI implementation will require revamped architectures and security tools, many experts say — and tools adapted for AI may need to be themselves managed by AI.

許多專家表示，人工智慧實施的繁重網路和安全需求將需要改善架構和安全工具，而適合人工智慧的工具本身可能需要由人工智慧管理。

"Regarding networking, there are two types of AI — AI for networking and networking for AI," industry analyst Zeus Kerravala wrote earlier this year. "The former uses AI to run the network, and the latter deploys a network to support AI."

「就網路而言，人工智慧有兩種類型——用於網路的人工智慧和用於人工智慧的網絡，」產業分析師 Zeus Kerravala 今年稍早寫道。 “前者使用AI來運行網絡，後者部署網絡來支援AI。”

Networking and security provider Aryaka touts its Unified SASE as a Service as the optimal architecture for companies that plan extensive use of generative AI, and as Kerravala predicted, AI itself will have a role in overseeing the implementation of the service.

網路和安全供應商 Aryaka 宣稱其統一 SASE 即服務是計劃廣泛使用生成式 AI 的公司的最佳架構，並且正如 Kerravala 預測的那樣，AI 本身將在監督服務的實施方面發揮作用。

"It's the convergence of networking and security," Aryaka Senior Director of Product Marketing Klaus Schwegler told us. "A from-the-ground-up designed approach to have a unified policy, a unified way of administering, managing, orchestrating policies and have a unified control over such when it comes to networking security."

「這是網路和安全的融合，」Aryaka 產品行銷高級總監 Klaus Schwegler 告訴我們。 「一種從頭開始設計的方法，具有統一的策略，統一的管理、管理、編排策略的方式，並在網路安全方面對此進行統一的控制。”

Optimizing for AI …

針對人工智慧進行優化...

To that end, there are two sides of the coin to Aryaka's AI strategy. One side involves tailoring networking and security to the needs of AI, using three optional features for Unified SASE as a Service.

為此，Aryaka 的人工智慧策略有兩個面向。一方面涉及根據 AI 的需求客製化網路和安全性，使用統一 SASE 即服務的三個可選功能。

The first, AI>Perform, makes sure that network performance is optimized for AI workloads and applications. The second, AI>Secure, safeguards those AI processes by controlling access and stopping data leakage. Finally, AI>Observe gives users maximum visibility into their AI processes and network usage in general.

第一個是 AI>Perform，確保針對 AI 工作負載和應用程式最佳化網路效能。第二個是 AI>Secure，透過控制存取和阻止資料外洩來保護這些 AI 流程。最後，AI>Observe 為使用者提供了對其 AI 流程和網路使用情況的最大可見性。

"This is crucial in an environment where real-time management and security of networks are paramount, due to the increasing prevalence of AI," wrote Aryaka Chief Product Officer Renuka Nadkarni in a recent company blog post. "The ability to observe and analyze network performance in real time allows enterprises to rapidly identify and respond to potential security threats, ensuring more resilient and robust network operations."

Aryaka 首席產品長 Renuka Nadkarni 在最近的公司部落格文章中寫道：“由於人工智慧的日益普及，這在實時管理和網路安全至關重要的環境中至關重要。” “即時觀察和分析網路性能的能力使企業能夠快速識別和響應潛在的安全威脅，確保更具彈性和穩健的網路運營。”

The requirements of AI will reshape network architectures and procedures. For example, because every query to generative AI results in a unique, dynamically generated response, there’s no point in caching data. Yet because traffic to and from servers of AI content will be massive in both directions, extremely low latency is a must.

人工智慧的要求將重塑網路架構和程式。例如，由於對生成人工智慧的每次查詢都會產生一個獨特的、動態生成的回應，因此快取資料是沒有意義的。然而，由於人工智慧內容伺服器的雙向流量都非常大，因此極低的延遲是必要的。

The solution may be to distribute AI servers geographically, somewhat like SASE points of presence, wrote Orange Group researchers Usman Javaid and Bruno Zerbib a recent piece in TM Forum.

Orange Group 研究人員 Usman Javaid 和 Bruno Zerbib 最近在 TM 論壇上發表的一篇文章中寫道，解決方案可能是在地理上分佈人工智慧伺服器，有點像 SASE 存在點。

"Future networks must expand cloud-centric architectures toward the edge, bringing LLM closer to data sources, enabling low-latency inference, improving data transfer by processing data locally, while maintaining user data privacy," they wrote.

他們寫道：“未來的網路必須將以雲為中心的架構擴展到邊緣，使法學碩士更接近數據源，實現低延遲推理，通過本地處理數據來改進數據傳輸，同時維護用戶數據隱私。”

… and using AI to optimize

...並使用人工智慧進行優化

The other side of the coin is to use AI to extend security and networking performance in ways that human-controlled processes could not. Schwegler explained how AI could, for example, detect unusual network activity that might escape human notice.

硬幣的另一面是使用人工智慧以人類控制流程無法做到的方式擴展安全性和網路效能。例如，施韋格勒解釋了人工智慧如何偵測可能逃脫人類注意的異常網路活動。

"Using AI tools in order to detect patterns, anomalies," he said. "Traffic behavior that seems abnormal. … All of a sudden, you have a traffic spike, data-transfer rates that you would not detect or too late in order to understand what exactly is happening, who is doing that."

「使用人工智慧工具來檢測模式和異常，」他說。 “流量行為似乎異常……突然間，流量激增，數據傳輸速率無法檢測到，或者為時已晚，無法了解究竟發生了什麼以及誰在這樣做。”

Spotting such anomalies is one of several ways in which AI can boost cybersecurity, according to the U.S. Cybersecurity and Infrastructure Security Agency (CISA). Other potentially AI-assisted aspects of cybersecurity include detecting personally identifiable information (PII) and taking part in forensic examinations.

美國網路安全與基礎設施安全局 (CISA) 表示，發現此類異常現像是人工智慧增強網路安全的多種方式之一。網路安全的其他潛在人工智慧輔助方麵包括偵測個人識別資訊 (PII) 和參與法醫檢查。

"There are behavior patterns, trends that can be identified with AI much faster than any other human deterministic machine learning models that can be written," noted Nadkarni in a recent company webcast. "We also need to use AI to enhance the protection capabilities and secure access and secure all assets."

納德卡尼在最近的公司網路廣播中指出：“人工智慧可以比任何其他可以編寫的人類確定性機器學習模型更快地識別行為模式和趨勢。” “我們還需要利用人工智慧來增強保護能力和安全存取並保護所有資產。”

The role of managed service providers

託管服務提供者的作用

As a company that bridges networking and security, Aryaka sees itself as well positioned to offer its clients and users services that will permit them to maximize their AI usage safely and efficiently. The targeted market is not just direct clients but customers coming through managed-service channels as well.

作為一家連接網路和安全的公司，Aryaka 認為自己有能力為客戶和用戶提供服務，使他們能夠安全有效地最大限度地利用人工智慧。目標市場不僅是直接客戶，還包括透過託管服務管道而來的客戶。

"MSPs with expertise in AI technologies will play a key role in spotting errors and ensuring the smooth integration of AI into IT workflows," Nadkarni wrote in her blog post. "AI, in turn, will play a crucial role in enhancing real-time network security by providing advanced monitoring, analysis, and error-detection capabilities."

Nadkarni 在她的部落格文章中寫道：“擁有人工智慧技術專業知識的 MSP 將在發現錯誤並確保人工智慧順利整合到 IT 工作流程方面發揮關鍵作用。” “反過來，人工智慧將透過提供先進的監控、分析和錯誤檢測功能，在增強即時網路安全方面發揮至關重要的作用。”

Aryaka Chief Marketing Officer Ken Rutsky said in the webcast that the addition of AI assistance to networking and security tools, and the use of those tools to focus efficiency and delivery toward the best possible AI performance, will usher in a new phase of business opportunity.

Aryaka 行銷長Ken Rutsky 在網路廣播中表示，將人工智慧輔助添加到網路和安全工具中，並使用這些工具來專注於效率和交付，以實現最佳的人工智慧效能，將迎來一個新的商業機會階段。

"Our goal is to help our customers get it all: performance, agility, simplicity and security without trade-offs," he said. "And as they move into these Gen AI applications, getting it all is going to become harder but even more important and more rewarding."

「我們的目標是幫助我們的客戶獲得這一切：效能、敏捷性、簡單性和安全性，無需權衡，」他說。 “當他們進入這些新一代人工智慧應用程式時，獲得這一切將變得更加困難，但也更加重要和更有價值。”