home.social

#agentic-ai — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #agentic-ai, aggregated by home.social.

fetched live
  1. "Ransomware has had a human at the keyboard, or at least a human writing its script, since it was first established as a category of threat. The Sysdig Threat Research Team (TRT) has captured what we assess to be the first documented case of agentic ransomware: a complete extortion operation driven end-to-end by a large language model (LLM).

    This operator, which we have dubbed JADEPUFFER, gained initial access to an internet-facing Langflow instance through CVE-2025-3248 and ran an adaptive and fully automated campaign, ultimately pivoting to the intended target and running a destructive database-extortion playbook against the victim's production database server. JADEPUFFER is considered an agentic threat actor (ATA), or an operator whose attack capability is delivered by an AI agent rather than a human-driven toolkit.

    The most striking characteristic, however, was the LLM's behavior. JADEPUFFER's own payloads were self-narrating. They contained natural language reasoning, target prioritization, and the kind of detailed annotations that human operators don’t often write but LLM-generated code produces reflexively. The operation also adapted in real time, retrying failed steps within refined parameters. In one sequence, it went from a failed login to a working fix in 31 seconds.

    The research below examines the Sysdig TRT’s observations of JADEPUFFER, along with its indicators of compromise and recommended defensive actions."

    sysdig.com/blog/jadepuffer-age

    #AI #AiAgents #AgenticAI #CyberSecurity #LLMs #Ransomware #Jadepuffer

  2. "Ransomware has had a human at the keyboard, or at least a human writing its script, since it was first established as a category of threat. The Sysdig Threat Research Team (TRT) has captured what we assess to be the first documented case of agentic ransomware: a complete extortion operation driven end-to-end by a large language model (LLM).

    This operator, which we have dubbed JADEPUFFER, gained initial access to an internet-facing Langflow instance through CVE-2025-3248 and ran an adaptive and fully automated campaign, ultimately pivoting to the intended target and running a destructive database-extortion playbook against the victim's production database server. JADEPUFFER is considered an agentic threat actor (ATA), or an operator whose attack capability is delivered by an AI agent rather than a human-driven toolkit.

    The most striking characteristic, however, was the LLM's behavior. JADEPUFFER's own payloads were self-narrating. They contained natural language reasoning, target prioritization, and the kind of detailed annotations that human operators don’t often write but LLM-generated code produces reflexively. The operation also adapted in real time, retrying failed steps within refined parameters. In one sequence, it went from a failed login to a working fix in 31 seconds.

    The research below examines the Sysdig TRT’s observations of JADEPUFFER, along with its indicators of compromise and recommended defensive actions."

    sysdig.com/blog/jadepuffer-age

    #AI #AiAgents #AgenticAI #CyberSecurity #LLMs #Ransomware #Jadepuffer

  3. "Ransomware has had a human at the keyboard, or at least a human writing its script, since it was first established as a category of threat. The Sysdig Threat Research Team (TRT) has captured what we assess to be the first documented case of agentic ransomware: a complete extortion operation driven end-to-end by a large language model (LLM).

    This operator, which we have dubbed JADEPUFFER, gained initial access to an internet-facing Langflow instance through CVE-2025-3248 and ran an adaptive and fully automated campaign, ultimately pivoting to the intended target and running a destructive database-extortion playbook against the victim's production database server. JADEPUFFER is considered an agentic threat actor (ATA), or an operator whose attack capability is delivered by an AI agent rather than a human-driven toolkit.

    The most striking characteristic, however, was the LLM's behavior. JADEPUFFER's own payloads were self-narrating. They contained natural language reasoning, target prioritization, and the kind of detailed annotations that human operators don’t often write but LLM-generated code produces reflexively. The operation also adapted in real time, retrying failed steps within refined parameters. In one sequence, it went from a failed login to a working fix in 31 seconds.

    The research below examines the Sysdig TRT’s observations of JADEPUFFER, along with its indicators of compromise and recommended defensive actions."

    sysdig.com/blog/jadepuffer-age

    #AI #AiAgents #AgenticAI #CyberSecurity #LLMs #Ransomware #Jadepuffer

  4. "Ransomware has had a human at the keyboard, or at least a human writing its script, since it was first established as a category of threat. The Sysdig Threat Research Team (TRT) has captured what we assess to be the first documented case of agentic ransomware: a complete extortion operation driven end-to-end by a large language model (LLM).

    This operator, which we have dubbed JADEPUFFER, gained initial access to an internet-facing Langflow instance through CVE-2025-3248 and ran an adaptive and fully automated campaign, ultimately pivoting to the intended target and running a destructive database-extortion playbook against the victim's production database server. JADEPUFFER is considered an agentic threat actor (ATA), or an operator whose attack capability is delivered by an AI agent rather than a human-driven toolkit.

    The most striking characteristic, however, was the LLM's behavior. JADEPUFFER's own payloads were self-narrating. They contained natural language reasoning, target prioritization, and the kind of detailed annotations that human operators don’t often write but LLM-generated code produces reflexively. The operation also adapted in real time, retrying failed steps within refined parameters. In one sequence, it went from a failed login to a working fix in 31 seconds.

    The research below examines the Sysdig TRT’s observations of JADEPUFFER, along with its indicators of compromise and recommended defensive actions."

    sysdig.com/blog/jadepuffer-age

    #AI #AiAgents #AgenticAI #CyberSecurity #LLMs #Ransomware #Jadepuffer

  5. "Ransomware has had a human at the keyboard, or at least a human writing its script, since it was first established as a category of threat. The Sysdig Threat Research Team (TRT) has captured what we assess to be the first documented case of agentic ransomware: a complete extortion operation driven end-to-end by a large language model (LLM).

    This operator, which we have dubbed JADEPUFFER, gained initial access to an internet-facing Langflow instance through CVE-2025-3248 and ran an adaptive and fully automated campaign, ultimately pivoting to the intended target and running a destructive database-extortion playbook against the victim's production database server. JADEPUFFER is considered an agentic threat actor (ATA), or an operator whose attack capability is delivered by an AI agent rather than a human-driven toolkit.

    The most striking characteristic, however, was the LLM's behavior. JADEPUFFER's own payloads were self-narrating. They contained natural language reasoning, target prioritization, and the kind of detailed annotations that human operators don’t often write but LLM-generated code produces reflexively. The operation also adapted in real time, retrying failed steps within refined parameters. In one sequence, it went from a failed login to a working fix in 31 seconds.

    The research below examines the Sysdig TRT’s observations of JADEPUFFER, along with its indicators of compromise and recommended defensive actions."

    sysdig.com/blog/jadepuffer-age

    #AI #AiAgents #AgenticAI #CyberSecurity #LLMs #Ransomware #Jadepuffer

  6. Vercel CEO Guillermo Rauch says the industry is fighting to separate models from AI agents, arguing that production systems need to optimise for price/performance rather than just model capability. The debate marks a shift in how developers think about deploying AI in real applications. techcrunch.com/2026/07/06/verc #AIagent #AI #GenAI #AgenticAI

  7. Vercel CEO Guillermo Rauch says the industry is fighting to separate models from AI agents, arguing that production systems need to optimise for price/performance rather than just model capability. The debate marks a shift in how developers think about deploying AI in real applications. techcrunch.com/2026/07/06/verc #AIagent #AI #GenAI #AgenticAI

  8. Vercel CEO Guillermo Rauch says the industry is fighting to separate models from AI agents, arguing that production systems need to optimise for price/performance rather than just model capability. The debate marks a shift in how developers think about deploying AI in real applications. techcrunch.com/2026/07/06/verc #AIagent #AI #GenAI #AgenticAI

  9. Vercel CEO Guillermo Rauch says the industry is fighting to separate models from AI agents, arguing that production systems need to optimise for price/performance rather than just model capability. The debate marks a shift in how developers think about deploying AI in real applications. techcrunch.com/2026/07/06/verc #AIagent #AI #GenAI #AgenticAI

  10. Vercel CEO Guillermo Rauch says the industry is fighting to separate models from AI agents, arguing that production systems need to optimise for price/performance rather than just model capability. The debate marks a shift in how developers think about deploying AI in real applications. techcrunch.com/2026/07/06/verc #AIagent #AI #GenAI #AgenticAI

  11. Small language models are emerging as a practical alternative to large language models in AI agent systems, according to new analysis. The shift is driven by lower costs, faster inference, and specialised capabilities that make SLMs well-suited for specific agent tasks in production environments. kdnuggets.com/5-ways-small-lan #AIagent #AI #GenAI #AgenticAI

  12. Small language models are emerging as a practical alternative to large language models in AI agent systems, according to new analysis. The shift is driven by lower costs, faster inference, and specialised capabilities that make SLMs well-suited for specific agent tasks in production environments. kdnuggets.com/5-ways-small-lan #AIagent #AI #GenAI #AgenticAI

  13. Small language models are emerging as a practical alternative to large language models in AI agent systems, according to new analysis. The shift is driven by lower costs, faster inference, and specialised capabilities that make SLMs well-suited for specific agent tasks in production environments. kdnuggets.com/5-ways-small-lan #AIagent #AI #GenAI #AgenticAI

  14. Small language models are emerging as a practical alternative to large language models in AI agent systems, according to new analysis. The shift is driven by lower costs, faster inference, and specialised capabilities that make SLMs well-suited for specific agent tasks in production environments. kdnuggets.com/5-ways-small-lan #AIagent #AI #GenAI #AgenticAI

  15. Small language models are emerging as a practical alternative to large language models in AI agent systems, according to new analysis. The shift is driven by lower costs, faster inference, and specialised capabilities that make SLMs well-suited for specific agent tasks in production environments. kdnuggets.com/5-ways-small-lan #AIagent #AI #GenAI #AgenticAI

  16. 「AIが主体的に仕事をする環境を実現していく」個人の生産性のツールから仕事・生活のエージェントへ/NEC・森田 隆之社長 インタビュー未公開版【WBS】 yayafa.com/2837674/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #人工知能 #汎用人工知能

  17. 「AIが主体的に仕事をする環境を実現していく」個人の生産性のツールから仕事・生活のエージェントへ/NEC・森田 隆之社長 インタビュー未公開版【WBS】 yayafa.com/2837674/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #人工知能 #汎用人工知能

  18. 「AIが主体的に仕事をする環境を実現していく」個人の生産性のツールから仕事・生活のエージェントへ/NEC・森田 隆之社長 インタビュー未公開版【WBS】 yayafa.com/2837674/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #人工知能 #汎用人工知能

  19. 京都大学ガバナンスイノベーションサマープログラム 公開シンポジウム「Open Symposium: Governing AI in an Agentic World: Safety, Sovereignty, and Human-AI Interaction」 yayafa.com/2837670/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #人工知能 #汎用人工知能

  20. 京都大学ガバナンスイノベーションサマープログラム 公開シンポジウム「Open Symposium: Governing AI in an Agentic World: Safety, Sovereignty, and Human-AI Interaction」 yayafa.com/2837670/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #人工知能 #汎用人工知能

  21. 京都大学ガバナンスイノベーションサマープログラム 公開シンポジウム「Open Symposium: Governing AI in an Agentic World: Safety, Sovereignty, and Human-AI Interaction」 yayafa.com/2837670/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #人工知能 #汎用人工知能

  22. 【速報】「バンダイチャンネル」にサイバー攻撃か 少年(15)逮捕 生成AI「ChatGPT」でプログラム作成 会員を退会処理し全サービスを一時的に停止に 警視庁 – TBS NEWS DIG yayafa.com/2837666/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #ChatGPT #OpenAI #エージェント型AI #人工知能 #汎用人工知能

  23. 【速報】「バンダイチャンネル」にサイバー攻撃か 少年(15)逮捕 生成AI「ChatGPT」でプログラム作成 会員を退会処理し全サービスを一時的に停止に 警視庁 – TBS NEWS DIG yayafa.com/2837666/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #ChatGPT #OpenAI #エージェント型AI #人工知能 #汎用人工知能