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主题演讲 _ 智能体人工智能:理解和保障智能系统的下一个前沿领域.pdf

上传人: 可*** 编号:991801 2025-12-07 30页 3.24MB

1、Agentic AI:Understanding and Securing the Next Frontier of Intelligent SystemsDiana Kelley,CISO,Noma Security Gartner“Intelligent agents in AI are goal-driven software entities.they can receive instructions,create a plan and use tooling to complete tasks,and produce dynamic outputs.”https:/ Differen

2、cesGen AIContent creation based on patterns and promptsSingle model responds to specific requestsPassive response generationLimited to training data boundariesAgentic AITake independent action to achieve specific goalsMultiple specialized agents collaborateProactive problem solvingLeverages external

3、 tools and dataExample Use CaseThe Venice Vacation of your Dreams,Agentic EditionAgent ArchitecturesSingle Agent ArchitectureAgentic AI-Threats and Mitigations,https:/genai.owasp.org/download/45674/Core Architectural ComponentsModel Context Protocol(MCP)The ConnectorOpen standard for resource access

4、 introduced by Anthropic in November 2024Wide adoption,including OpenAI and Google DeepMindAgent to ToolOriginal Image source:modelcontextprotocol.io/introductionAgent2Agent(A2A)The CommunicatorOpen standard for agent interoperability introduced by Google in April 2025Wide industry supportComplement

5、s MCPImage source: source:a2aproject.github.io/A2A/latest/#a2a-and-mcp-complementary-protocolsThreat Modeling-MAESTRO(Multi-Agent Environment,Security,Threat,Risk,and Outcome)https:/cloudsecurityalliance.org/blog/2025/02/06/agentic-ai-threat-modeling-framework-maestroThreat Modeling Steps-MAESTRO Sy

6、stem Decomposition Layer-Specific Threat Modeling Cross-Layer Threat Identification Risk Assessment Mitigation PlanningImplementation&Monitoringhttps:/cloudsecurityalliance.org/blog/2025/02/06/agentic-ai-threat-modeling-framework-maestroThreat Model Overviewhttps:/genai.owasp.org/download/45674/What

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根据《Agentic AI: Understanding and Securing the Next Frontier of Intelligent Systems》的内容,以下是全文关键点的概括: 1. **Agentic AI 定义**:与通用人工智能(Gen AI)不同,Agentic AI 是以目标为导向的软件实体,能够独立行动以实现特定目标,并利用外部工具和数据。 2. **架构**:包括单代理架构和代理间通信(A2A)架构,使用模型上下文协议(MCP)和代理间协议(A2A)。 3. **威胁模型**:采用 MAESTRO 模型进行威胁建模,包括系统分解、层特定威胁建模、风险评估和缓解计划。 4. **潜在威胁**:列举了13种潜在威胁,如工具误用、权限妥协、级联“幻觉”等。 5. **缓解措施**:针对每种威胁提出相应的缓解措施,如访问控制、权限管理、输出验证等。 6. **安全建议**:强调谨慎采用、测试、监控和关注行为和政策违规。
安全挑战揭秘" 如何防范潜在威胁?" 测试与监控的艺术"
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