[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-anthropic-claude-security-code-scanning-zh":3,"tags-anthropic-claude-security-code-scanning-zh":35,"related-lang-anthropic-claude-security-code-scanning-zh":44,"related-posts-anthropic-claude-security-code-scanning-zh":48,"series-model-release-9c0d02c9-6e66-4487-84d6-7e53d02d6461":85},{"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":31,"topic_cluster_id":10,"embedding":10,"is_canonical_seed":21},"9c0d02c9-6e66-4487-84d6-7e53d02d6461","Anthropic 開放 Claude Security 掃碼","\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa> 把 \u003Ca href=\"\u002Ftag\u002Fclaude\">Claude\u003C\u002Fa> Security 公測開給企業，讓 Claude 直接掃程式碼找漏洞。\u003C\u002Fp>\u003Cp>這次不是單純丟一個模型名詞。它把 \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002F\" target=\"_blank\" rel=\"noopener\">Anthropic\u003C\u002Fa> 的 \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fnews\u002Fclaude-opus-4-7\" target=\"_blank\" rel=\"noopener\">Claude Opus 4.7\u003C\u002Fa> 放進 \u003Ca href=\"https:\u002F\u002Fclaude.ai\u002Fsecurity\" target=\"_blank\" rel=\"noopener\">Claude Security\u003C\u002Fa>。目標很直白，就是讓企業直接掃 codebase 找漏洞。\u003C\u002Fp>\u003Cp>目前是 \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude\u002Fenterprise\" target=\"_blank\" rel=\"noopener\">Claude Enterprise\u003C\u002Fa> 的 public beta。\u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude\u002Fteam\" target=\"_blank\" rel=\"noopener\">Claude Team\u003C\u002Fa> 和 \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude\u002Fmax\" target=\"_blank\" rel=\"noopener\">Claude Max\u003C\u002Fa> 也會跟上。講白了，Anthropic 想把\u003Ca href=\"\u002Fnews\u002F292m-defi-hack-security-reset-zh\">安全\u003C\u002Fa>掃描做成一個現成功能，不是叫你自己串一堆 API。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>官方說法\u003C\u002Fth>\u003Cth>實際意義\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>狀態\u003C\u002Ftd>\u003Ctd>Public beta\u003C\u002Ftd>\u003Ctd>企業現在就能試\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>模型\u003C\u002Ftd>\u003Ctd>Claude Opus 4.7\u003C\u002Ftd>\u003Ctd>用最新主力模型做掃描\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>掃描模式\u003C\u002Ftd>\u003Ctd>Scheduled、targeted scans\u003C\u002Ftd>\u003Ctd>可排程，也可只掃特定資料夾\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>驗證流程\u003C\u002Ftd>\u003Ctd>Multi-stage pipeline + confidence ratings\u003C\u002Ftd>\u003Ctd>先降誤報，再交給人判斷\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>輸出\u003C\u002Ftd>\u003Ctd>CSV、Markdown、Slack、Jira、webhooks\u003C\u002Ftd>\u003Ctd>能接進既有流程\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>Claude Security 到底在做什麼\u003C\u002Fh2>\u003Cp>它不是只做關鍵字比對。Anthropic 說，Claude Security 會讀 source code，追資料流，還會看模組之間怎麼互動。這種做法比較像資安工程師在想事情，不是單純掃 regex。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778026867083-ew0c.png\" alt=\"Anthropic 開放 Claude Security 掃碼\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>每個發現都會附上說明、信心分數、嚴重度、可能影響、重現步驟和修補建議。這點很重要。資安團隊最怕的不是沒警報，而是警報太多，然後每條都像在考人類耐心。\u003C\u002Fp>\u003Cp>它也能掃整個 repository，或只掃某個目錄。你可以排程執行，也可以手動丟給它。對有 CI\u002FCD、審計流程、或合規需求的團隊來說，這種彈性很實用。\u003C\u002Fp>\u003Cul>\u003Cli>可掃整個 repo，也可掃指定資料夾\u003C\u002Fli>\u003Cli>可排程，不用每次手動啟動\u003C\u002Fli>\u003Cli>可把誤報註記為已忽略，保留原因\u003C\u002Fli>\u003Cli>可輸出給 Slack、Jira、CSV、Markdown\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Anthropic 也說，這個產品已經在數百家組織做過限制版研究預覽。過去兩個月，它加了多階段驗證、排程掃描、目錄級掃描，還補強了匯出能力。這些都不是花拳繡腿，都是為了少一點人工整理。\u003C\u002Fp>\u003Ch2>為什麼流程比模型名字更重要\u003C\u002Fh2>\u003Cp>很多人看到的是 Claude \u003Ca href=\"\u002Ftag\u002Fopus-47\">Opus 4.7\u003C\u002Fa>。真正值錢的是工作流。資安團隊平常卡在 triage、誤報、工程師和稽核之間的交接。工具如果不能把結果整理好，就只是另一個待辦清單製造機。\u003C\u002Fp>\u003Cp>Claude Security 的設計重點，是把結果變成能直接處理的資料。它不是只丟一個分數給你。它會把理由、影響範圍、修補方向一起給你。這樣工程師比較能判斷要不要修，也比較能跟主管或稽核講清楚。\u003C\u002Fp>\u003Cp>我覺得 Anthropic 這招很務實。很多安全工具都先叫你接 API、寫 \u003Ca href=\"\u002Ftag\u002Fagent\">agent\u003C\u002Fa>、配 webhook，最後還沒看到價值。這次它把入口放在 Claude.ai 側欄，意思很明顯，就是先讓你用，再談整合。\u003C\u002Fp>\u003Cblockquote>“If your organization uses Claude, you can start scanning today,” Anthropic said in a company statement.\u003C\u002Fblockquote>\u003Cp>這句話很直白，也很像 Anthropic 的打法。它不是在賣一個研究展示，而是在賣一個企業功能。對台灣團隊來說，這種路線比空談模型能力更有感，因為大家真的缺的是可落地的流程。\u003C\u002Fp>\u003Ch2>和其他 AI 資安路線怎麼比\u003C\u002Fh2>\u003Cp>Anthropic 這波不是孤軍作戰。它最近還推出 \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fnews\u002Fproject-glasswing\" target=\"_blank\" rel=\"noopener\">Project Glasswing\u003C\u002Fa> 和 \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fnews\u002Fclaude-mythos-preview\" target=\"_blank\" rel=\"noopener\">Claude Mythos Preview\u003C\u002Fa>。官方還說 Mythos 在測試中找出數千個 \u003Ca href=\"\u002Fnews\u002Fdeezer-ai-tracks-44-percent-new-uploads-zh\">zer\u003C\u002Fa>o-day vulnerabilities。這代表它不是只想做聊天機器人。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778026849915-2hm4.png\" alt=\"Anthropic 開放 Claude Security 掃碼\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>另一邊，\u003Ca href=\"https:\u002F\u002Fopenai.com\u002F\" target=\"_blank\" rel=\"noopener\">OpenAI\u003C\u002Fa> 也在推 \u003Ca href=\"https:\u002F\u002Fopenai.com\u002Findex\u002Fgpt-5-4-cyber\u002F\" target=\"_blank\" rel=\"noopener\">GPT-5.4-Cyber\u003C\u002Fa>，還擴大 Trusted Access for Cyber。換句話說，兩大陣營都在搶企業資安入口，只是切法不同。\u003C\u002Fp>\u003Cp>Anthropic 的差異點，在於它比較像產品整合。\u003Ca href=\"\u002Ftag\u002Fopenai\">OpenAI\u003C\u002Fa> 比較像模型與計畫並進。前者強調直接可用，後者強調特定任務能力。企業買單時，通常會先問一件事：哪個比較少整合成本？\u003C\u002Fp>\u003Cul>\u003Cli>Claude Security 已在 Enterprise 開放公測\u003C\u002Fli>\u003Cli>Team 和 Max 之後才會跟進\u003C\u002Fli>\u003Cli>OpenAI 走的是 cyber 專用模型與存取計畫\u003C\u002Fli>\u003Cli>Anthropic 說 Mythos 測到數千個 zero-days\u003C\u002Fli>\u003C\u002Ful>\u003Cp>還有一個訊號不能漏看。Anthropic 說 Opus 4.7 會被整合進 \u003Ca href=\"https:\u002F\u002Fwww.crowdstrike.com\u002F\" target=\"_blank\" rel=\"noopener\">CrowdStrike\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.microsoft.com\u002Fsecurity\" target=\"_blank\" rel=\"noopener\">Microsoft Security\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.paloaltonetworks.com\u002F\" target=\"_blank\" rel=\"noopener\">Palo Alto Networks\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.sentinelone.com\u002F\" target=\"_blank\" rel=\"noopener\">SentinelOne\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.wiz.io\u002F\" target=\"_blank\" rel=\"noopener\">Wiz\u003C\u002Fa> 等工具。這表示 Claude 的安全能力，想同時走直售和嵌入式兩條路。\u003C\u002Fp>\u003Ch2>數字放一起看，差異更清楚\u003C\u002Fh2>\u003Cp>如果只看新聞稿，大家會覺得都差不多。把數字攤開來看，差異就出來了。Anthropic 現在先開的是 Enterprise 公測，Team 和 Max 還在後面，這代表它先鎖定最願意付錢的客群。\u003C\u002Fp>\u003Cp>再看功能面。它強調 s\u003Ca href=\"\u002Fnews\u002Fwhy-turboquant-changes-kv-cache-debate-zh\">che\u003C\u002Fa>duled scans、targeted scans、confidence ratings、CSV\u002FJira\u002FSlack 匯出。這些功能不是最炫，但很貼近企業日常。企業要的是能接流程，不是只會 demo。\u003C\u002Fp>\u003Cp>下面這張表，能快速看出這次更新的重點。你會發現，Anthropic 的主軸不是單點偵測，而是把掃描、驗證、輸出串成一條線。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>比較項目\u003C\u002Fth>\u003Cth>Claude Security\u003C\u002Fth>\u003Cth>常見傳統掃描工具\u003C\u002Fth>\u003Cth>差別\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>啟用方式\u003C\u002Ftd>\u003Ctd>Claude 內建入口\u003C\u002Ftd>\u003Ctd>獨立平台或 CI 外掛\u003C\u002Ftd>\u003Ctd>前者上手較快\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>結果呈現\u003C\u002Ftd>\u003Ctd>說明 + 信心分數 + 修補建議\u003C\u002Ftd>\u003Ctd>多半只給 rule 命中\u003C\u002Ftd>\u003Ctd>前者較好 triage\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>掃描節奏\u003C\u002Ftd>\u003Ctd>排程 + 指定目錄\u003C\u002Ftd>\u003Ctd>多半靠手動或 pipeline\u003C\u002Ftd>\u003Ctd>前者更彈性\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>輸出整合\u003C\u002Ftd>\u003Ctd>Slack、Jira、webhooks\u003C\u002Ftd>\u003Ctd>看產品而定\u003C\u002Ftd>\u003Ctd>前者較容易接團隊流程\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Cp>我會把它看成一種「少裝一層工具」的策略。對中大型團隊來說，少一層整合，就少一層維運。這種東西很無聊，但真的省時間。\u003C\u002Fp>\u003Ch2>這波更新背後的產業脈絡\u003C\u002Fh2>\u003Cp>AI 資安不是新題目，但今年的節奏很密。模型廠商開始直接碰安全掃描、漏洞研究、修補建議。這代表 LLM 不再只負責寫文案和寫 code，還開始碰更敏感的企業流程。\u003C\u002Fp>\u003Cp>對台灣開發者來說，這件事有兩個現實面。第一，很多公司已經在用 Claude、GPT 或其他 LLM。第二，資安團隊通常人少事多。只要工具能少掉一些人工 triage，就有機會進流程。\u003C\u002Fp>\u003Cp>但別太快高潮。AI 掃描再強，也還是會有誤報。尤其是大型 monorepo、老舊依賴、魔改過的內部框架，這些東西最愛讓模型和規則引擎一起翻車。最後還是得靠人做決策。\u003C\u002Fp>\u003Ch2>接下來該怎麼看\u003C\u002Fh2>\u003Cp>我覺得接下來要盯三件事。第一，誤報率能不能壓住。第二，修補建議能不能真的能改。第三，匯出的結果能不能直接進團隊流程，不要再手工搬資料。\u003C\u002Fp>\u003Cp>如果 Anthropic 能把這三件事做好，Claude Security 就不只是多一個功能，而是會變成企業採購時很實際的選項。反過來說，如果結果還是太吵，最後多半只會留在試用名單。\u003C\u002Fp>\u003Cp>對企業來說，最值得做的事很簡單：拿一個有歷史包袱的 repo 來測。別拿乾淨 demo。看它能不能抓到真問題，也看它會不會把你洗版。這才是答案。\u003C\u002Fp>","Anthropic 把 Claude Opus 4.7 放進 Claude Security 公測，主打企業程式碼掃描、排程掃描、信心分數與修補建議。","www.infosecurity-magazine.com","https:\u002F\u002Fwww.infosecurity-magazine.com\u002Fnews\u002Fanthropic-claude-security-for-ai\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778026867083-ew0c.png",[13,14,15,16,17,18],"Anthropic","Claude Security","Claude Opus 4.7","程式碼掃描","企業資安","LLM","zh",1,false,"2026-05-06T00:20:33.355614+00:00","2026-05-06T00:20:33.178+00:00","done","ebcd7b69-8e10-4f75-8b8f-f5af7d4757ab","anthropic-claude-security-code-scanning-zh","model-release","27c478d8-d832-46fb-a0a8-09fe99a41fd0","published","2026-05-06T09:00:21.425+00:00",[32,33,34],"Claude Security 把 Claude Opus 4.7 直接用在企業程式碼掃描。","它主打排程掃描、信心分數、修補建議與 Slack\u002FJira 匯出。","真正的重點不是模型名，而是能不能減少資安 triage 成本。",[36,38,39,41,43],{"name":14,"slug":37},"claude-security",{"name":16,"slug":16},{"name":15,"slug":40},"claude-opus-47",{"name":13,"slug":42},"anthropic",{"name":17,"slug":17},{"id":28,"slug":45,"title":46,"language":47},"anthropic-claude-security-code-scanning-en","Anthropic Opens Claude Security for Code Scanning","en",[49,55,61,67,73,79],{"id":50,"slug":51,"title":52,"cover_image":53,"image_url":53,"created_at":54,"category":27},"5b5fa24f-5259-4e9e-8270-b08b6805f281","minimax-m1-open-hybrid-attention-reasoning-model-zh","MiniMax-M1：開源 1M Token 推理模型","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778797859209-ea1g.png","2026-05-14T22:30:38.636592+00:00",{"id":56,"slug":57,"title":58,"cover_image":59,"image_url":59,"created_at":60,"category":27},"b1da56ac-8019-4c6b-a8dc-22e6e22b1cb5","gemini-omni-video-review-text-rendering-zh","Gemini Omni 影片模型怎麼了","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778779280109-lrrk.png","2026-05-14T17:20:42.608312+00:00",{"id":62,"slug":63,"title":64,"cover_image":65,"image_url":65,"created_at":66,"category":27},"d63e9d93-e613-4bbf-8135-9599fde11d08","why-xiaomi-mimo-v25-pro-changes-coding-agents-zh","為什麼 Xiaomi 的 MiMo-V2.5-Pro 改變的是 Coding 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