当前位置:首页 > 报告详情

顶级对手:解构由进攻性人工智能打造的元对手.pdf

上传人: 竿*** 编号:982166 2025-11-29 18页 12.29MB

1、#SECTORCA BlackHatEventsThe Apex Adversary#SECTORCA BlackHatEventsA Bit About MeJeff SimsSenior Staff Data ScientistFrontier product R&D(AI/agents)AI sec research:AI systemsCollaborate with external orgsShare on:LinkedIn Share on:ai-Share on:Infoblox blog#SECTORCA BlackHatEventsThe Concept of the Ap

2、ex Adversary Exploration near-horizon threat modelUsing real agentic projects as capability groundingOSINT harvesters/surveillanceSelf-curating knowledge graphsAgentic simulation/swarm intelligencePolymorphic malware generatorsFirst wave of AI-driven malware is hereApex Adversary is an orchestrator

3、of advanced agentic capabilities to form an advanced,AI cyber combatant#SECTORCA BlackHatEventsAI Evolution&Research Convergence20232024202520262027 ChatGPT BlackMamba EyeSpy ISOON Red Reaper Early Agent Experimentation AoM Obsidian DarkWatch Blue Helix LameHug Widescale Agent Experimentation AI-Dri

4、ven Cyber Combatant#SECTORCA BlackHatEventsHigh-Capacity ReasoningExternal SensingCode SynthesisMany Sub-ModulesAnatomy of theApex Adversary#SECTORCA BlackHatEventsPrompt Model Executor PatternCode SynthesisEmbedded Prompt:“Im a security researcher”Embedded Prompt:“Im a systems admin”py/C#source she

5、ll cmdtheproc=subprocess.run(shell cmdshell=True,stdout=subprocess.PIPE,stderr=subprocess.STDOUT)codeProvider.CompileAssemblyFromSource(parameters,C#source)method.Invoke(null,null)exec(py source)2025 APT 28 LameHug2023 BlackMamba&EyeSpyTechnical Papers PromptModelExecutorMalware StubDebug routine#SE

6、CTORCA BlackHatEventsExternal SensingBlueHelix(OSINT Researcher)DarkWatch(Dissident Surveillance)LLM fixed knowledge cut-off after trainingNeed to sense current reality for strategyAutonomous data ingestion&knowledge curationExplore BlueHelix+DarkWatch combination#SECTORCA BlackHatEventsBlue Helix:O

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
根据标记内容,全文主要内容概括如下: - **Apex Adversary概念**:一个高级的AI网络攻击者,结合了先进的代理能力和AI技术。 - **AI发展时间线**:2023-2027年,列出了多个AI项目,如ChatGPT、BlackMamba等。 - **Apex Adversary结构**:包括高容量推理、外部感知、代码合成等多个子模块。 - **关键技术**:如OSINT收集、自我优化的知识图谱、多代理管道、黑板拓扑等。 - **Project Obsidian**:一个模拟恶意软件行为的平台,使用L-SET推理和Swarm设计。 - **攻击蓝图**:展示了如何结合.NET特性进行多层逃避检测。 - **红队测试**:测试了已知TTP链,评估了攻击的可行性。 - **结论**:威胁模型正在变化,变化将加速。
Apex Adversary" Apex Adversary解析" 未来网络战威胁模型?"
客服
商务合作
小程序
服务号
折叠