AI WAVE SHOW 2026

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sans-serif\"><span style=\"white-space-collapse: preserve;\"><b>AI代理人崛起：從「規則判斷」到「即時自學」\n</b>傳統防詐系統高度依賴工程師預先設定的規則（例如：短時間內異地多次交易），這種方式反應慢，且容易被新型態的詐騙手法繞過。2025年的關鍵轉變，是「AI代理人（Agentic AI）」的導入。\n\n這些AI代理人不僅是分析工具，更是能自主決策、執行任務並從每次互動中持續學習的數位防禦專家。它們能7x24小時不間斷地分析全球交易數據，即時識別並學習新出現的詐騙模式，自主更新防禦邏輯。這種「自主演進」的能力，大幅縮短了防禦的反應時間。在金融科技領域的實際案例中，導入AI代理人進行詐欺偵測，已成功將平均處理時間縮短了40%，從過去的數分鐘壓縮至數十秒內。\n<b>\n多模態AI發威：從「單點數據」到「全域視角」\n</b>現代詐騙攻擊是立體的，犯罪者可能在不同平台留下多種類型的數位足跡。為此，「多模態AI」成為防禦方的利器。它能同時處理並關聯多種不同類型的數據，建立起更全面的風險視角。\n\n這意味著防禦系統不再只看單一的交易數據。它能同時：\n\n</span></font></p><ul><li style=\"margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; margin-left: 3pt;\"><font color=\"#000000\" face=\"Arial, sans-serif\"><span style=\"white-space-collapse: preserve;\">分析交易模式（結構化數據）。\n</span></font></li><li style=\"margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; margin-left: 3pt;\"><font color=\"#000000\" face=\"Arial, sans-serif\"><span style=\"white-space-collapse: preserve;\">驗證用戶上傳的身份證件（視覺辨識）。\n</span></font></li><li style=\"margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; margin-left: 3pt;\"><font color=\"#000000\" face=\"Arial, sans-serif\"><span style=\"white-space-collapse: preserve;\">輔助分析用戶在驗證過程中的聲音特徵（語音辨識），以識別AI合成語音的細微破綻。\n\n</span></font></li></ul><p dir=\"ltr\" style=\"margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; margin-left: 3pt;\"><font color=\"#000000\" face=\"Arial, sans-serif\"><span style=\"white-space-collapse: preserve;\">透過融合這些多維度資訊，AI能更精準地識別出試圖使用偽造身份開戶或進行交易的異常行為，從源頭阻斷詐騙。<b>\n\n邊緣運算賦能：從「事後分析」到「即時阻斷」\n</b>在金融交易中，毫秒之差即是成敗關鍵。傳統將數據傳回雲端分析再做出決策的模式，其延遲可能已讓詐騙交易完成。因此，將AI運算能力推向「邊緣端」（如銷售點終端機POS、個人手機或網路閘道器）成為必然趨勢。\n\n權威機構Gartner預測，到了2025年，將有高達75%的企業數據在邊緣端進行處理。在防詐騙領域，這意味著AI模型可以直接在交易發生的當下，於本地端進行即時風險評估並做出阻斷決策，無需等待與雲端的往返通訊。這場由新一代AI晶片（NPU）所驅動的硬體革新，為實現「零時差」防禦提供了堅實的基礎。<b><br></b></span></font></p><p dir=\"ltr\" style=\"margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; margin-left: 3pt;\"><font color=\"#000000\" face=\"Arial, sans-serif\"><span style=\"white-space-collapse: preserve;\"><b>\n以AI對抗AI，建立可信賴的防禦生態\n</b>總結而言，全球防詐騙戰爭已演變為一場「AI對抗AI」的技術軍備競賽。防禦方的未來，繫於能否成功整合「AI代理人」的自主學習能力、「多模態AI」的全域分析能力以及「邊緣運算」的即時反應能力。當犯罪者利用AI降低詐騙成本時，產業的應對之道，便是透過部署更先進、更智慧、且更負責任的AI防禦系統，以更高的效率與精準度，共同守護數位經濟的安全與信任。</span></font></p>","coverImagePath":"/api/general/downloadFile?filePath=UserData/WebExpoNewsPics/20250630095750.png","publishAt":"2025-06-30T00:00:00","newsType":"expoNews","category":"01","_language":"zh-TW","ifReleased":true,"ifEnable":true,"createDateTimeUtc":"2025-06-30T01:49:36.413","updateDateTimeUtc":"2025-06-30T03:40:32.743","createBy":"50519C11-C0F7-4DE6-899C-E92DAFC3C3E8","updateBy":"50519C11-C0F7-4DE6-899C-E92DAFC3C3E8","createDateTimeUtc8":"2025-06-30T09:49:36.413","updateDateTimeUtc8":"2025-06-30T11:40:32.743"},"languageButtonsJsonString":"{\n \"next\": \"下一步\",\n \"ok\": \"確定\",\n \"cancel\": \"取消\",\n \"重新寄送\": \"重新寄送\",\n \"確認修改\": \"確認修改\",\n \"確定變更\": \"確定變更\",\n \"填寫資料\": \"填寫資料\",\n \"閱讀更多\": \"閱讀更多\",\n \"回上頁\": \"回上頁\", \n \"送出\": \"送出\", \n \"回上一頁\": 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