[{"@context":"https:\/\/schema.org\/","@type":"BlogPosting","@id":"https:\/\/blog.terabox.com\/insights\/defensa-cibernetica-autonoma-agentes-ia#BlogPosting","mainEntityOfPage":"https:\/\/blog.terabox.com\/insights\/defensa-cibernetica-autonoma-agentes-ia","headline":"Defensa Cibern\u00e9tica Aut\u00f3noma con Agentes de IA | Cogent","name":"Defensa Cibern\u00e9tica Aut\u00f3noma con Agentes de IA | Cogent","description":"\ud83d\udcfa V\u00eddeo de estudio recomendado hoy: https:\/\/www.youtube.com\/watch?v=D6XWu54oG4g Defensa Cibern\u00e9tica Aut\u00f3noma: C\u00f3mo Cogent est\u00e1 Cerrando Vulnerabilidades a Velocidad de M\u00e1quinaLa Carrera contra el Tiempo: De Meses a MinutosLa Arquitectura del Contexto: Swarms y GrafosLa Escalera de Confianza y Remediaci\u00f3nEvaluaci\u00f3n y Memoria:... ","datePublished":"2026-07-16","dateModified":"2026-07-16","author":{"@type":"Person","@id":"https:\/\/blog.terabox.com\/author\/flextech-admin\/#Person","name":"flextech-admin","url":"https:\/\/blog.terabox.com\/author\/flextech-admin\/","image":{"@type":"ImageObject","@id":"https:\/\/secure.gravatar.com\/avatar\/ad516503a11cd5ca435acc9bb6523536?s=150&#038;d=mm&#038;r=gforcedefault=1","url":"https:\/\/secure.gravatar.com\/avatar\/ad516503a11cd5ca435acc9bb6523536?s=150&#038;d=mm&#038;r=gforcedefault=1","height":96,"width":96}},"publisher":{"@type":"Organization","name":"terabox","logo":{"@type":"ImageObject","@id":"http:\/\/blog.terabox.com\/wp-content\/uploads\/2021\/11\/logo\u4ea7\u54c1\u540d-\u7ad6\u7248.png","url":"http:\/\/blog.terabox.com\/wp-content\/uploads\/2021\/11\/logo\u4ea7\u54c1\u540d-\u7ad6\u7248.png","width":900,"height":900}},"image":{"@type":"ImageObject","@id":"https:\/\/img.youtube.com\/vi\/D6XWu54oG4g\/maxresdefault.jpg","url":"https:\/\/img.youtube.com\/vi\/D6XWu54oG4g\/maxresdefault.jpg","height":"","width":""},"url":"https:\/\/blog.terabox.com\/insights\/defensa-cibernetica-autonoma-agentes-ia","video":{"@context":"http:\/\/schema.org\/","@type":"VideoObject","@id":"https:\/\/www.youtube.com\/watch?v=D6XWu54oG4g#VideoObject","contentUrl":"https:\/\/www.youtube.com\/watch?v=D6XWu54oG4g","name":"Inside Cogent's three-agent architecture for autonomous defense | Geng Sng (Co-founder, Cogent)","description":"Geng Sng is co-founder and CTO of Cogent, which builds autonomous agents that remediate vulnerabilities for enterprise security teams. Today, Cogent's agents process billions of security events per day, maintaining a live context graph of every asset and vulnerability across customer environments. In this conversation, Geng walks through Cogent's hot vs cold context split, the sub-agents that handle side quests, and the two graphs they run in parallel.\n\nWe also discuss:\n\u2022 Why defensive security is harder for AI than offensive\n\u2022 Under the hood of Cogent's three agents\n\u2022 Inside Cogent's \u201cread only\u201d by-default sandboxes\n\u2022 Why graph databases don't scale for security data\n\u2022 Cogent Research and the move into formal verification\n\u2022 Why interactive agents need a deeper planning phase to one-shot\n\nReferences:\n\u2022 Abnormal AI: https:\/\/abnormal.ai\/\n\u2022 Amazon S3: https:\/\/aws.amazon.com\/s3\/\n\u2022 Anthropic: https:\/\/www.anthropic.com\/\n\u2022 Bash: https:\/\/www.gnu.org\/software\/bash\/\n\u2022 ChatGPT: https:\/\/chatgpt.com\/\n\u2022 Claude Code: https:\/\/www.anthropic.com\/claude-code\n\u2022 Claude Mythos: https:\/\/red.anthropic.com\/2026\/mythos-preview\/\n\u2022 CodeMender: https:\/\/deepmind.google\/blog\/introducing-codemender-an-ai-agent-for-code-security\/\n\u2022 Codex: https:\/\/openai.com\/codex\/\n\u2022 Cogent: https:\/\/www.cogent.com\/\n\u2022 Cursor: https:\/\/cursor.com\/\n\u2022 Google DeepMind: https:\/\/deepmind.google\/\n\u2022 GPT-5.5-Cyber: https:\/\/openai.com\/index\/gpt-5-5-with-trusted-access-for-cyber\/\n\u2022 Jupyter: https:\/\/jupyter.org\/\n\u2022 Letta: https:\/\/www.letta.com\/\n\u2022 Mozilla: https:\/\/www.mozilla.org\/\n\u2022 OpenAI: https:\/\/openai.com\/\n\u2022 Opus 4.6: https:\/\/www.anthropic.com\/news\/claude-opus-4-6\n\u2022 Opus 4.7: https:\/\/www.anthropic.com\/news\/claude-opus-4-7\n\u2022 Vercel: https:\/\/vercel.com\/\n\nWhere to find Geng:\n\u2022 LinkedIn: https:\/\/www.linkedin.com\/in\/geng-sng\/\n\nWhere to find Harrison:\n\u2022 LinkedIn: https:\/\/www.linkedin.com\/in\/harrison-chase-961287118\/\n\u2022 Twitter\/X: https:\/\/x.com\/hwchase17\n\nWhere to find LangChain:\n\u2022 Website: http:\/\/langchain.com\n\u2022 Docs: https:\/\/docs.langchain.com\/\n\nSend feedback or questions to maxagency@langchain.dev\n\nTimestamps:\n00:00 Why mean time to exploit collapsed from years to minutes\n02:08 Inside Cogent's Agent Lake architecture\n05:11 Why Cogent rejected graph databases\n10:48 The trust ladder before agents touch production\n15:13 The three types of agents inside Cogent\n17:07 How Cogent sandboxes its agents\n19:16 Short-circuiting interactive agents with a deeper planning phase\n24:31 What to do when users believe agents too much\n31:21 Why sub-agents let agents go on side quests\n34:59 Two-tiered evals and the metric that catches bad prompts\n40:00 Cogent's unique approach to context\n48:39 Cogent Research and the move into formal verification\n51:33 The single trait Cogent hires for\n54:00 Open-sourcing models within six months\n57:07 Why defensive security won't be commoditized anytime soon\n1:00:51 The founding insight behind 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