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# 2022 年 Forrester Wave™：企業防火牆 -- 我們是領導者

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威脅呈等比級數成長，並且沒有任何放緩的跡象。根據我們的 [2022 年 Unit 42 網路威脅趨勢研究報告](https://start.paloaltonetworks.com/unit-42-network-threat-trends-report-2022.html)，從 2020 年到 2021 年，攻擊次數增加 15%，達到歷史新高，相較於我們在遠端工作由於 COVID-19 而增加之前觀察到的情況，攻擊次數增加 3 倍以上。同時，由於確保企業安全性日益複雜，加上數位轉型加速和熟練的網路安全人才短缺，偵測和防禦善於規避的攻擊者更有挑戰性。[Forrester WaveTM：2022 年第四季度企業防火牆報告](https://start.paloaltonetworks.com/leader-in-forrester-wave.html)指出，「根據 Forrester 的 2022 年安全調查，74% 的受訪者承認，本身的企業在過去 12 個月中至少有一次可能遭受威脅或入侵。這比 2021 年的 63% 更高。」企業如今比以往更需要值得信賴的安全合作夥伴來提供滿足現代企業需求並能夠因應網路威脅行動者速度的高效能解決方案。

\***「Palo Alto Networks 一直以來被稱為新世代防火牆 (NGFW) 的發明者，在網路安全領域的多個標準中展示真正的創新。」**--\*2022 年 Forrester Wave 報告

現在，我們很榮幸在[Forrester Wave：2022 年第四季度企業防火牆報告](https://start.paloaltonetworks.com/leader-in-forrester-wave.html)中獲評為領導者。Palo Alto Networks 在策略和目前產品類別中均獲得最高分。在報告中，Forrester 根據一組預先定義的標準對廠商進行評估，例如產品願景、路線圖執行、功效、零信任環境、效能、可用性和合作夥伴生態系統。Forrester 的分析和認可有助於安全和風險專業人員了解本身可以從企業防火牆廠商獲得的價值。專業人員也因此有信心做出重要的網路安全選擇，藉以產生深遠的業務影響。[取得 2022 年 Forrester Wave 報告。](https://start.paloaltonetworks.com/leader-in-forrester-wave.html)

我們相信，我們之所以獲得策略和目前產品類別中的最高分，是因為我們在網路安全性方面的一貫領導地位和創新獲得了 Forrester 認可。[PAN-OS 10.2 Nebula](https://www.paloaltonetworks.com/network-security/whats-new-in-nebula) 是我們業界領先的網路安全作業系統的最新版本，藉由人工智慧 (AI) 和機器學習 (ML) 首次與內嵌深度學習相互結合，協助企業領先於隱匿性威脅。Nebula 可供 Palo Alto Networks 客戶在現今最複雜的攻擊發生時加以阻止。下列是我們認為 Palo Alto Networks 擅長的關鍵領域：

\***「公司對網路安全性的願景融入 AI (人工智慧) 和零信任原則。共同執行的效果令人印象深刻。」**--\*2022 年 Forrester Wave 報告

**零信任：** Palo Alto Networks 機器學習式新世代防火牆 (NGFW) 提供根據最低權限存取原則、持續信任驗證和持續安全檢查建立的基礎零信任元件。我們的新世代防火牆透過原生整合的 [User-ID、App-ID 和 Device-ID](https://www.paloaltonetworks.com/network-security/pan-os)提供真正的零信任安全性，因此安全團隊能夠識別使用者、應用程式和裝置，然後根據身分和脈絡持續驗證可信度。 我們的[雲端交付安全服務](https://www.paloaltonetworks.com/network-security/security-subscriptions)會持續檢查所有交易，藉以確保企業免於遭受威脅，而且所有敏感數據都受到保護，效能也完全不受影響。

**人工智慧與機器學習** ：雖然基於特徵碼的偵測方法對於防禦已知威脅極為重要，不過我們仍然需要採用一種新方法來保護企業免於遭受使用迴避技術的攻擊。只有 Palo Alto Networks 新世代防火牆提供機器學習式防護和[內嵌深度學習](https://www.paloaltonetworks.com/blog/2022/02/inline-deep-learning/)，透過針對零時差和高迴避性威脅的業界首創即時防護阻止第一感染源。我們同級最佳的[進階威脅防禦](https://www.paloaltonetworks.com/network-security/advanced-threat-prevention)、[進階 URL 篩選](https://www.paloaltonetworks.com/network-security/advanced-url-filtering)和 [DNS 安全性](https://www.paloaltonetworks.com/network-security/dns-security)以及其他雲端交付安全服務可在迴避性攻擊入侵企業資產之前主動阻止。

\***「Palo Alto Networks 的 AIOps 將政策確實轉化為最佳實務... Palo Alto Networks 的新政策建立精靈使用 AIOps 針對任何變更持續建議最佳實務，有效地為使用者提供即時防護措施。這種方法遠優於競爭對手的方法，獲得好評也是實至名歸。」**--\*2022 年 Forrester Wave 報告

**AIOps** ：我們的[新世代防火牆 AIOps](https://www.paloaltonetworks.com/network-security/aiops-for-ngfw) 能夠主動改善安全狀況和健康狀況，正如 Forrester 報告所指出，「將政策確實轉化為最佳實務」。這份報告也指出，「Palo Alto Networks 的新政策建立精靈使用 AIOps 針對任何變更持續建議最佳實務，有效地為使用者提供即時防護措施。這種方法遠優於競爭對手的方法，獲得好評也是實至名歸。」

AIOps 使用機器學習來分析來自新世代防火牆的遙測數據，以智慧化的方式預測防火牆的健康狀況、效能和容量問題，防止多達 51% 的防火牆中斷。1 新世代防火牆 AIOps 能夠在業務遭受衝擊之前預先判讀、預測及解決問題，重新定義防火牆運作體驗。

**效能** ：Palo Alto Networks 機器學習式新世代防火牆能夠達到最高效能。我們的[單通道並行處理架構 (SP3)](https://stage.paloaltonetworks.com/resources/whitepapers/single-pass-parallel-processing-architecture) 即使在結合前所未有的功能和技術創新時也能夠達到高輸送量。單通道架構在單通道中執行網路連線、政策查詢、應用程式和解碼以及特徵碼比對 (針對所有威脅和內容)。這能夠顯著減少在一台安全裝置中執行多種功能所需的處理開銷。而且，當您隨著時間達到更高的安全性時，它還能夠展現可預測的一致效能。

\***「這家公司的 TLS 解密在這個競爭領域中一枝獨秀。」**--\*2022 年 Forrester Wave 報告

**解密** ：如今，超過 85% 的企業流量經過加密，超過 70% 的惡意軟體使用加密來規避安全措施。檢查加密流量以防止威脅從未像現在如此重要。我們的機器學習式新世代防火牆能夠以內嵌方式解密 TLS/SSL 流量，包括 TLS 1.3/HTTP/2 等現代通訊協定。Palo Alto Networks 完全掌握加密連線而達到[部署解密的便利性](https://www.paloaltonetworks.com/blog/2020/08/network-advances-in-decryption/)。客戶可以運用各種機制 (例如 URL 分類) 對於要解密的內容確定優先順序，以便隨著時間進行解密並維護隱私。藉由我們的[第四代機器學習式新世代防火牆](https://www.paloaltonetworks.com/network-security/next-generation-firewall-hardware)，Palo Alto Networks 客戶可以阻止隱藏在加密流量中的威脅，阻止威脅的數量和解密效能提高 5 倍。

### **下載「Forrester Wave：2022 年第四季度企業防火牆」**

Palo Alto Networks 會持續透過強大的安全創新和完善的產品策略以協助即時解決重要客戶需求，藉此鞏固我們的領導地位。這一點加上我們以最佳投資報酬率提供絕佳客戶體驗的堅定承諾，促進我們提供高效能網路安全解決方案的能力，這些解決方案能夠滿足現代企業即時偵測和防護高迴避性威脅的需求。

我們邀請您下載完整版免費報告[Forrester Wave：2022 年第四季度企業防火牆](https://start.paloaltonetworks.com/leader-in-forrester-wave.html)，親自了解我們如何「在網路安全領域的多個標準中展示真正的創新」。

* Palo Alto Networks 工程研究基於對重點客戶的支援案例分析。

*** ** * ** ***

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