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基础设施安全


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绿盟大模型与智能体自身安全解决方案 

NSFOCUS Security Solution for LLMs and AI Agents 

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产品概述

绿盟大模型与智能体自身安全解决方案协同数据与供应链治理、安全评估、运行时防护和安全运营能力。方案围绕AI全生命周期,构建源头治理、多维评测、纵深防御、统一运营四道互补防线。四道防线协同帮助企业识别模型及智能体风险,保护数据、工具调用和业务运行,并持续验证安全措施的效果。

NSFOCUS's solution for securing large language models (LLMs) and AI agents combines data and supply-chain governance, security assessment, runtime protection, and security operations.Four complementary layers address risks across the AI lifecycle: data and supply-chain governance, security assessment, defense in depth, and unified operations.Together, they help organizations identify risks, protect data and business operations, manage agent tool use, and continually evaluate security controls.

 

客户价值

01

提升安全运营效率

将训练数据、软件供应链、模型及智能体运行风险纳入统一监测与审计,帮助安全团队关联线索、定位问题并推进整改。
Brings risks involving training data, software dependencies, models, and agent operations into coordinated monitoring and auditing, helping teams connect evidence, investigate issues, and manage remediation

02

保障业务连续性与算力资源

针对提示词注入、越狱及算力耗尽攻击开展防护,降低智能体被操纵后影响业务的风险。结合Token熔断与异常行为管控,限制异常调用造成的资源消耗。
Addresses prompt injection, jailbreaks, and resource-exhaustion attacks that could disrupt AI services or manipulate agents Token-based circuit breaking and controls on anomalous behavior help limit excessive resource consumption from abnormal requests

03

支撑合规建设与证据留存

结合中国《网络安全法》《人工智能安全治理框架》及GB T 45654-2025等适用要求与指导,支撑算法备案、生成式人工智能服务备案及生成内容标识相关工作。通过评估、监测和审计,为监管检查及持续治理提供依据。
Helps organizations address applicable Chinese requirements for algorithm filing, generative AI service filing, and labeling of AI-generated content, drawing on the Cybersecurity Law, the AI Safety Governance Framework, and GB T 45654-2025. Assessment, monitoring, and audit records provide evidence for regulatory reviews and ongoing governance.

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功能特性

  • 01

    第一道防线 源头治理

    对训练语料和知识库数据进行多模态清洗、敏感信息检测及投毒样本识别。通过AI软件物料清单(AI-SBOM)管理基础设施软件依赖与第三方组件漏洞。开展智能体资产测绘和风险排查,提升对已部署智能体的可视性。 Applies multimodal data cleansing, sensitive-information detection, and poisoned-sample identification to training corpora and knowledge bases An AI software bill of materials (AI-SBOM) supports management of infrastructure software dependencies and third-party vulnerabilities Agent asset discovery and risk inspection extend visibility to deployed agents

  • 02

    第二道防线 多维评测

    结合AI-SCAN与AI红队评估服务,评估模型、智能体及相关组件。评测覆盖内容安全、对抗安全、基础设施安全和AI Skill安全等维度,结合自动化检测与专家开展的人工对抗测试发现安全风险。 Combines AI-SCAN with AI red team assessment services to evaluate models, agents, and related components Testing spans content safety, adversarial robustness, infrastructure security, and AI Skill security, combining automated checks with expert-led adversarial testing

  • 03

    第三道防线 纵深防御

    通过AI安全围栏防护提示词注入、越狱及算力耗尽等运行时威胁。结合智能体指令管控、意图识别、身份权限管理与安全插件,降低指令伪造、任务操纵和权限滥用风险。 Uses AI-Guardrails to address runtime threats such as prompt injection, jailbreaks, and resource exhaustion Agent instruction controls, intent analysis, identity and access controls, and security plugins work together to reduce risks from forged instructions, task manipulation, and privilege abuse

  • 04

    第四道防线 统一运营

    面向大模型及多智能体架构,集中开展安全监测、跨智能体行为分析、日志审计、态势感知和应急响应。安全运营团队可持续跟踪风险处置及防护效果。 Centralizes security monitoring, cross-agent behavioral analysis, log auditing, situational awareness, and incident response for LLM and multi-agent environments Operations teams can track risk treatment and review the effectiveness of security controls over time

产品优势

01

方案实践与赛事认可

绿盟科技的天璇大模型安全评测与防护方案获2025年第九届强网杯创新创业专项赛一等奖。NSFOCUS& 39;s Tianxuan LLM security assessment and protection solution won a first prize in the Innovation and Entrepreneurship track of the ninth Qiangwang Cup in 2025

02

关注智能体运行风险

围绕指令、意图、身份权限及算力资源开展协同防护,应对任务操纵、权限滥用和恶意Skill投毒等风险。方案已用于金融、运营商、政府等客户场景,并参与国家级重大活动的AI安全保障。Coordinates controls over instructions, intent, identities, permissions, and compute resources to address task manipulation, privilege abuse, and malicious Skill poisoning The solution has been used in financial services, telecommunications, and government environments, and to support AI security at major national events

03

自动化检测与人工评估互补

覆盖内容安全、对抗安全、语料检测、模型文件扫描、漏洞检测和智能体安全评估。结合人工红队测试,进一步检查业务场景中的安全薄弱环节。Combines content safety and adversarial testing with corpus inspection, model-file scanning, vulnerability detection, and agent assessment Human-led red teaming adds scrutiny of weaknesses that depend on business context

04

风险架构与生命周期协同

基于NSFOCUS LLM Risk Matrix,结合识别、防护、检测、响应与恢复(IPDRR)及纵深防御思路,连接风险发现、运行防护和持续运营。Built around the NSFOCUS LLM Risk Matrix, the solution applies Identify, Protect, Detect, Respond, and Recover (IPDRR) principles and defense in depth to connect risk discovery, runtime protection, and ongoing security operations

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