[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-ai-agents-moving-into-real-work-zh":3,"tags-ai-agents-moving-into-real-work-zh":31,"related-lang-ai-agents-moving-into-real-work-zh":40,"related-posts-ai-agents-moving-into-real-work-zh":44,"series-industry-4ed4dfb0-5eea-4f02-9a62-7da50fa1f282":81},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":19,"translated_content":10,"views":20,"is_premium":21,"created_at":22,"updated_at":22,"cover_image":11,"published_at":23,"rewrite_status":24,"rewrite_error":10,"rewritten_from_id":25,"slug":26,"category":27,"related_article_id":28,"status":29,"google_indexed_at":30,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":10,"topic_cluster_id":10,"embedding":10,"is_canonical_seed":21},"4ed4dfb0-5eea-4f02-9a62-7da50fa1f282","AI 代理人開始做真工作","\u003Cp>這週很明顯。AI 代理人不再只在 demo 裡跑。\u003Ca href=\"https:\u002F\u002Fwww.codenotary.com\u002F\" target=\"_blank\" rel=\"noopener\">Codenotary\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.qualys.com\u002F\" target=\"_blank\" rel=\"noopener\">Qualys\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.floqast.com\u002F\" target=\"_blank\" rel=\"noopener\">FloQast\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.oracle.com\u002F\" target=\"_blank\" rel=\"noopener\">Oracle\u003C\u002Fa> 都把產品推進到企業流程裡。說白了，就是讓軟體去做原本卡在人類待辦清單的事。\u003C\u002Fp>\u003Cp>這件事不只是技術新聞。企業現在問的不是「代理人會不會寫幾行程式」。他們問的是，誰能管它、怎麼限制它、出事怎麼追、以及它能碰哪些資料。這些問題比模型參數更實際。\u003C\u002Fp>\u003Cp>而且，這波不是單一產品秀。安全、會計、資料庫、伺服器管理，全都開始接上 AI 代理人。這代表市場已經從「能不能做」走到「怎麼上線」。\u003C\u002Fp>\u003Ch2>安全先卡住，其他才有戲\u003C\u002Fh2>\u003Cp>這週最硬的主題是安全。\u003Ca href=\"https:\u002F\u002Fwww.nudgesecurity.com\u002F\" target=\"_blank\" rel=\"noopener\">Nudge Security\u003C\u002Fa> 推出新的發現工具，用來找出員工自己建立的 AI 代理人。這很重要，因為影子 AI 正在變成影子自動化。風險不是想像出來的。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775058142616-tbp6.png\" alt=\"AI 代理人開始做真工作\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>數字也很直接。文中提到，80% 的組織已經看到 AI 代理人權限過大的風險。這不是小問題。這會直接影響採購、資安政策，甚至法務審查。講白了，沒有控管，很多公司根本不敢放行。\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.codenotary.com\u002Fagentmon\" target=\"_blank\" rel=\"noopener\">AgentMon\u003C\u002Fa> 會追蹤代理人做了什麼、碰了哪些檔案、資料流到哪裡。\u003Ca href=\"https:\u002F\u002Fwww.asterisksecurity.com\u002F\" target=\"_blank\" rel=\"noopener\">Astrix Security\u003C\u002Fa> 也把平台擴充到阻擋未授權的代理人部署。\u003Ca href=\"https:\u002F\u002Fwww.blackduck.com\u002F\" target=\"_blank\" rel=\"noopener\">Black Duck\u003C\u002Fa> 推出 Signal，盯住 CI\u002FCD 裡的 AI 產碼。\u003Ca href=\"https:\u002F\u002Fwww.paloaltonetworks.com\u002F\" target=\"_blank\" rel=\"noopener\">Palo Alto Networks\u003C\u002Fa> 則把 Prisma AIRS 3.0 拉進自主 AI 系統防護。\u003C\u002Fp>\u003Cul>\u003Cli>80% 的組織已看到 AI 代理人風險\u003C\u002Fli>\u003Cli>AgentMon 追蹤行為、檔案與資料流向\u003C\u002Fli>\u003Cli>Prisma AIRS 3.0 鎖定自主 AI 的防護\u003C\u002Fli>\u003Cli>Black Duck Signal 盯 AI 產碼流程\u003C\u002Fli>\u003C\u002Ful>\u003Cp>這裡的重點很現實。企業買單的，不是會聊天的模型。企業買單的是稽核軌跡、權限控管、政策執行。你如果說不清楚代理人剛剛做了什麼，資安和法遵很快就會把你擋下來。\u003C\u002Fp>\u003Ch2>信任不是口號，是可讀性\u003C\u002Fh2>\u003Cp>信任是第二個卡點，而且更微妙。喬治亞理工的研究發現，年長者在 AI 代理人有清楚解釋時，會更願意信任它。單純丟一個「92% 確定」的分數，反而可能沒用，因為使用者不知道這個判斷怎麼來的。\u003C\u002Fp>\u003Cp>這跟產品設計很一致。人們可以接受自動化，但前提是流程看得懂。只要代理人像黑盒子，尤其碰到醫療、財務、薪資這種場景，大家就會縮手。這很正常，因為出錯成本太高。\u003C\u002Fp>\u003Cblockquote>“The more complex the algorithm is, the more important it is to explain how it works.” — Fei-Fei Li\u003C\u002Fblockquote>\u003Cp>這句話現在還是很準。尤其當公司把代理人接進原本由員工處理的流程時，更需要能說明來源、依據、限制。能講清楚，它才比較像工具。講不清楚，它就像一個會亂按按鈕的實習生。\u003C\u002Fp>\u003Cp>這週也看到另一種做法。\u003Ca href=\"https:\u002F\u002Fwww.ibm.com\u002F\" target=\"_blank\" rel=\"noopener\">IBM\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fauth0.com\u002F\" target=\"_blank\" rel=\"noopener\">Auth0\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.yubico.com\u002F\" target=\"_blank\" rel=\"noopener\">Yubico\u003C\u002Fa> 合作做人為確認機制。高風險動作要真人批准，像是付款、改權限、送出敏感決策。這種設計很土，但很有用。\u003C\u002Fp>\u003Ch2>真正能賣的，是任務型代理人\u003C\u002Fh2>\u003Cp>這波市場也很務實。一般型代理人很會講故事，但任務型代理人比較好賣。\u003Ca href=\"https:\u002F\u002Fwww.qualys.com\u002Fapps\u002Fagent-val\u002F\" target=\"_blank\" rel=\"noopener\">Qualys Agent Val\u003C\u002Fa> 會找安全問題，還能自動修一部分。\u003Ca href=\"https:\u002F\u002Fwww.floqast.com\u002Fproduct\u002Fvisual-agent-builder\" target=\"_blank\" rel=\"noopener\">FloQast Visual Agent Builder\u003C\u002Fa> 讓會計團隊用拖拉方式做自訂代理人。\u003Ca href=\"https:\u002F\u002Fwww.oracle.com\u002Fdatabase\u002Fai-database\u002F\" target=\"_blank\" rel=\"noopener\">Oracle AI Database 26ai\u003C\u002Fa> 則把持久記憶和無程式碼 Private Agent Factory 放進企業流程。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775058167336-yvo8.png\" alt=\"AI 代理人開始做真工作\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>價格也開始變得很像正式軟體，而不是試驗品。Klient PSA 要在三週內推出 Hybrid Project Delivery，裡面有 8 個專門 AI 代理人一起跑。定價是每位使用者每月 15 美元，外加每個 AI 代理人一次性 1,000 美元。這種寫法很直接，代表代理人已經變成帳單上的一個欄位。\u003C\u002Fp>\u003Cp>數據也很能說明問題。Fujitsu 的 Application Transform 宣稱，讀舊程式碼、寫設計文件的速度快了 97%。它還說文件品質提升 60%，完整度提升 95%。另外，69% 的分析團隊已經在用 AI 流程，44% 則已經在跑代理人平台。這些都不是邊角料數字。\u003C\u002Fp>\u003Cul>\u003Cli>Klient PSA：每人每月 15 美元，外加每個代理人 1,000 美元\u003C\u002Fli>\u003Cli>Fujitsu：設計文件產出快 97%\u003C\u002Fli>\u003Cli>Fujitsu：文件品質提升 60%\u003C\u002Fli>\u003Cli>分析團隊：69% 已用 AI 流程，44% 已跑代理平台\u003C\u002Fli>\u003C\u002Ful>\u003Cp>當然，代理人越多，不代表結果越好。先前也有觀察提到，多代理系統常常比單一代理人更差，因為它們不太會向專長讓路。這點很刺耳，但很真。很多團隊只是因為架構名字聽起來很猛，就急著多塞幾個 a\u003Ca href=\"\u002Fnews\u002Fagent-memory-framework-analysis-zh\">gent\u003C\u002Fa>。\u003C\u002Fp>\u003Ch2>這週透露的，是下一階段的市場樣子\u003C\u002Fh2>\u003Cp>真正的變化，不是 AI 代理人出現了。是公司開始補齊周邊機制。像是監控、批准、記憶、協調、成本控制，這些都一起上桌。\u003Ca href=\"https:\u002F\u002Fwww.samsara.com\u002F\" target=\"_blank\" rel=\"noopener\">Samsara\u003C\u002Fa> 在看車隊和機器人的 physical AI。\u003Ca href=\"https:\u002F\u002Fwww.lg.com\u002Fglobal\" target=\"_blank\" rel=\"noopener\">LG Innotek\u003C\u002Fa> 與 \u003Ca href=\"https:\u002F\u002Fwww.appliedintuition.com\u002F\" target=\"_blank\" rel=\"noopener\">Applied Intuition\u003C\u002Fa> 把感測器和模擬接到自駕車。\u003Ca href=\"https:\u002F\u002Fwww.nvidia.com\u002F\" target=\"_blank\" rel=\"noopener\">NVIDIA\u003C\u002Fa> 也在跟能源公司做 AI factories，讓算力像電網資產一樣被管理。\u003C\u002Fp>\u003Cp>這代表什麼？代表代理人正在變成 production software。不是聊天機器人加權限。真正會贏的團隊，會很快回答 4 個問題：它做了什麼、為什麼這樣做、誰批准的、花了多少錢。答不出來，就很難擴大。\u003C\u002Fp>\u003Cp>如果你這季要評估 AI 代理人，我會建議先選一個重複流程，再加一層控制。挑輸入清楚、輸出清楚、而且有真人負責的任務。先跑小範圍，再看例外處理。這樣比較不會把公司資料直接丟去賭。\u003C\u002Fp>\u003Cp>我的判斷很簡單。接下來 12 個月，最有價值的代理人產品，不會是最會講 AGI 的那種。會是最無聊、最穩、最能交代責任的那種。它們會默默縮短審核時間、抓出政策違規、留下完整紀錄。這才是企業真的會掏錢的地方。\u003C\u002Fp>\u003Ch2>台灣團隊接下來該看什麼\u003C\u002Fh2>\u003Cp>台灣公司如果想跟上，重點不是先做一個很炫的 a\u003Ca href=\"\u002Fnews\u002Fcontext-is-the-new-os-zettlab-agent-computer-zh\">gent\u003C\u002Fa> \u003Ca href=\"\u002Fnews\u002Frtk-cuts-claude-code-token-spend-zh\">de\u003C\u002Fa>mo。先看資料權限、API 紀錄、以及誰能按下送出鍵。這三件事沒處理好，後面再多模型都沒用。\u003C\u002Fp>\u003Cp>我覺得最先落地的，會是客服、內部稽核、財務對帳、和雲端維運。這些工作都有固定規則，也有清楚例外。很適合先用 AI 代理人做半自動流程，再慢慢拉高自治程度。\u003C\u002Fp>\u003Cp>如果你是工程團隊，現在就可以問一個問題：我們的 LLM 只是會回答，還是能留下可追蹤的工作紀錄？差別就在這裡。前者是玩具，後者才像能上線的軟體。\u003C\u002Fp>","安全、會計和基礎架構團隊已開始上線 AI 代理人。新工具顯示，治理、稽核與信任，比噱頭更重要。","aiagentstore.ai","https:\u002F\u002Faiagentstore.ai\u002Fai-agent-news\u002Fthis-week",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775058142616-tbp6.png",[13,14,15,16,17,18],"AI agents","人工智慧代理人","企業自動化","資安治理","LLM","工作流程自動化","zh",0,false,"2026-04-01T10:27:33.344628+00:00","2026-04-01T10:27:33.288+00:00","done","2bb384f2-f6a4-4479-a871-2e63a2e0a0f6","ai-agents-moving-into-real-work-zh","industry","0d93d17b-6255-4d28-946a-9a2b3f8b9447","published","2026-04-09T09:00:53.684+00:00",[32,33,34,35,37,38],{"name":14,"slug":14},{"name":18,"slug":18},{"name":16,"slug":16},{"name":17,"slug":36},"llm",{"name":15,"slug":15},{"name":13,"slug":39},"ai-agents",{"id":28,"slug":41,"title":42,"language":43},"ai-agents-moving-into-real-work-en","AI agents are moving into real work","en",[45,51,57,63,69,75],{"id":46,"slug":47,"title":48,"cover_image":49,"image_url":49,"created_at":50,"category":27},"e6379f8a-3305-4862-bd15-1192d3247841","why-nebius-ai-pivot-is-more-real-than-hype-zh","為什麼 Nebius 的 AI 轉型比炒作更真實","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778823044520-9mfz.png","2026-05-15T05:30:24.978992+00:00",{"id":52,"slug":53,"title":54,"cover_image":55,"image_url":55,"created_at":56,"category":27},"66c4e357-d84d-43ef-a2e7-120c4609e98e","nvidia-backs-corning-factories-with-billions-zh","Nvidia 出資 Corning 工廠擴產","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778822450270-trdb.png","2026-05-15T05:20:27.701475+00:00",{"id":58,"slug":59,"title":60,"cover_image":61,"image_url":61,"created_at":62,"category":27},"31d8109c-8b0b-46e2-86bc-d274a03269d1","why-anthropic-gates-foundation-ai-public-goods-zh","為什麼 Anthropic 和 Gates Foundation 應該投資 A…","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778796636474-u508.png","2026-05-14T22:10:21.138177+00:00",{"id":64,"slug":65,"title":66,"cover_image":67,"image_url":67,"created_at":68,"category":27},"17cafb6e-9f2c-43c4-9ba3-ef211d2780b1","why-observability-is-critical-cloud-native-systems-zh","為什麼可觀測性是雲原生系統的生存條件","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778794245143-tfqn.png","2026-05-14T21:30:25.97324+00:00",{"id":70,"slug":71,"title":72,"cover_image":73,"image_url":73,"created_at":74,"category":27},"2fb441af-d3c6-4af8-a356-a40b25a67c00","data-centers-pushing-homeowners-to-solar-zh","資料中心推升房主裝太陽能","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778793651300-gi06.png","2026-05-14T21:20:40.899115+00:00",{"id":76,"slug":77,"title":78,"cover_image":79,"image_url":79,"created_at":80,"category":27},"387bddd8-e5fc-4aa9-8d1b-43a34b0ece43","how-to-choose-gpu-for-yihuan-zh","怎麼選《异环》GPU","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778786461303-39mx.png","2026-05-14T19:20:29.220124+00:00",[82,87,92,97,102,107,112,117,122,127],{"id":83,"slug":84,"title":85,"created_at":86},"ee073da7-28b3-4752-a319-5a501459fb87","ai-in-2026-what-actually-matters-now-zh","2026 AI 真正重要的事","2026-03-26T07:09:12.008134+00:00",{"id":88,"slug":89,"title":90,"created_at":91},"83bd1795-8548-44c9-9a7e-de50a0923f71","trump-ai-framework-power-speech-state-preemption-zh","川普 AI 框架瞄準電力、言論與州權","2026-03-26T07:12:18.695466+00:00",{"id":93,"slug":94,"title":95,"created_at":96},"ea6be18b-c903-4e54-97b7-5f7447a612e0","nvidia-gtc-2026-big-ai-announcements-zh","NVIDIA GTC 2026 重點拆解","2026-03-26T07:14:26.62638+00:00",{"id":98,"slug":99,"title":100,"created_at":101},"4bcec76f-4c36-4daa-909f-54cd702f7c93","claude-users-spreading-out-and-getting-better-zh","Claude 用戶更分散，也更會用","2026-03-26T07:22:52.325888+00:00",{"id":103,"slug":104,"title":105,"created_at":106},"bd903b15-2473-4178-9789-b7557816e535","openclaw-raises-hard-question-for-ai-models-zh","OpenClaw 逼問 AI 模型價值","2026-03-26T07:24:54.707486+00:00",{"id":108,"slug":109,"title":110,"created_at":111},"eeac6b9e-ad9d-4831-8eec-8bba3f9bca6a","gap-google-gemini-checkout-fashion-search-zh","Gap 把結帳搬進 Gemini","2026-03-26T07:28:23.937768+00:00",{"id":113,"slug":114,"title":115,"created_at":116},"0740e53f-605d-4d57-8601-c10beb126f3c","google-pushes-gemini-transition-to-march-2026-zh","Google 把 Gemini 轉換延到 2026 年 3…","2026-03-26T07:30:12.825269+00:00",{"id":118,"slug":119,"title":120,"created_at":121},"e660d801-2421-4529-8fa9-86b82b066990","metas-llama-4-benchmark-scandal-gets-worse-zh","Meta Llama 4 分數風波又擴大","2026-03-26T07:34:21.156421+00:00",{"id":123,"slug":124,"title":125,"created_at":126},"183f9e7c-e143-40bb-a6d5-67ba84a3a8bc","accenture-mistral-ai-sovereign-enterprise-deal-zh","Accenture 攜手 Mistral AI 賣主權 AI","2026-03-26T07:38:14.818906+00:00",{"id":128,"slug":129,"title":130,"created_at":131},"191d9b1b-768a-478c-978c-dd7431a38149","mistral-ai-faces-its-hardest-year-yet-zh","Mistral AI 迎來最硬的一年","2026-03-26T07:40:23.716374+00:00"]