<p><em>在对抗性暴露验证（AEV）和针对性评估中，前沿人工智能的早期采用领导力</em></p>
<p>, /PRNewswire/ -- NetSentries 今天宣布其专家主导的针对性安全评估和 NST Assure CTEM 平台的对抗性暴露验证（AEV）工作流程中，人工智能增强的安全测试能力现已全面上线。这些能力在严格管理的人机协作（HITL）操作模型中应用人工智能辅助分析，加速了对现实世界暴露的验证，同时保持了专家的监督、责任和客户控制。</p>
<p>继续阅读</p>
<p><img src="https://imageproxy.pbkrs.com/https://www.prnewswire.com/news-releases/null?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" original-src="https://imageproxy.pbkrs.com/https://www.prnewswire.com/news-releases/null"/></p>
<p>NetSentries 在 NST Assure AEV 和零知识针对性评估中推出人工智能增强的安全测试。</p>
<p>作为此次发布的一部分，NetSentries 在受控的安全评估环境中应用了商业可用的前沿人工智能模型，包括各种 Claude 模型，以增强推理、规模、漏洞开发和覆盖范围。所有的范围界定、验证、严重性判断和报告决策仍由 NetSentries 的安全专业人员负责。</p>
<p>最近在人工智能推理和自动化方面的进展提高了分析复杂环境中弱点的速度。NetSentries 正在负责任地应用这些进展，帮助组织识别、验证和修复可被利用的暴露，以应对日益自动化和人工智能辅助的威胁。</p>
<p>&#34;通过在 NST Assure 的 AEV 工作流程和我们的针对性安全评估中应用人工智能辅助分析，同时保持完全的人机协作治理，我们现在能够更高效地验证暴露，而不影响安全性或责任。这确保了发现的结果可审计、可辩护且可操作。&#34;</p>
<p>- Arun Thomas, 首席技术官兼联合创始人，NetSentries</p>
<p><strong>这对客户意味着什么</strong></p>
<p>NST Assure 已经在暴露发现、漏洞分析、优先级排序和漏洞情报中应用了人工智能辅助技术。AEV 模块中这一新的人工智能辅助人机协作测试增强功能使得在保持人机协作交付模型的同时，能够对选定的暴露进行受控验证。客户可以更快确认漏洞是否可被利用，并根据实际风险获得更清晰的修复建议，早期使用显示验证时间显著减少，同时仍保持监督和审计能力。</p>
<p>从 2026 年 5 月 15 日起，人工智能增强的工作流程将适用于针对性的外部零知识安全评估，需经客户批准和参与范围界定。经过认证的灰盒评估将在相同的治理模型下进行，并需明确客户同意。最终发现仅在经过人工验证和质量保证审查后发布。</p>
<p>NetSentries 还在应用人工智能辅助技术来加强安全代码审查和应用程序保证，支持识别复杂逻辑缺陷和不安全模式，同时保持修复指导由专家主导并考虑上下文。</p>
<p><strong>人类专业知识得到增强而非取代</strong></p>
<p>每次人工智能辅助的利用验证都在半自主模式下运行，并采用人机协作流程。NetSentries 安全评估团队的专家安全评估人员负责范围界定，验证每一项发现，并对客户交付物中的所有建议负责。</p>
<p><strong>人工智能增强能力的受控演变</strong></p>
<p>NST Assure 平台旨在在严格的人机协作控制下持续吸收额外的人工智能辅助能力。未来的增强包括：</p>
<ul>
<li>随着新前沿推理模型的成熟而采用。</li>
<li>安全专用的人工智能模型，包括 Mythos 级前沿系统（在商业可用时），以协助在受控测试环境中进行高级代码和漏洞分析。</li>
<li>需要多代理编排引擎来扩展在 HITL 治理下对 AEV 的持续评估。</li>
<li>在明确客户同意下启用的人工智能增强的认证和灰盒评估。</li>
</ul>
<p><strong>数据和治理</strong></p>
<p>客户数据不会用于训练任何人工智能模型。所有人工智能辅助活动都在内部控制下记录和管理，包括访问边界、使用限制和可接受使用的执行。</p>
<p><strong>关于 NetSentries</strong></p>
<p>NetSentries 是一家全球提供进攻性安全评估服务的公司，服务于全球的银行、金融机构和大型企业。其旗舰平台 NST Assure 通过外部暴露发现和对抗性暴露验证提供人工智能驱动的持续威胁暴露管理。</p>
<p><strong>媒体联系</strong> 电子邮件: [email protected] 网站: www.netsentries.com www.nstcyber.ai</p>
<p><em>对第三方人工智能模型的引用仅用于描述目的，并不意味着合作或认可。所有商标均属于其各自所有者。</em></p>
<p>照片: https://mma.prnewswire.com/media/2971877/NetSentries_Security_Testing_AI.jpg</p>
<p>标志: https://mma.prnewswire.com/media/2971907/Netsentries_Logo.jpg</p>
<p>来源 NetSentries</p>
<p><img src="https://imageproxy.pbkrs.com/https://rt.prnewswire.com/rt.gif/query-RGF0ZUlkPTIwMjYwNTA0Jk5ld3NJdGVtSWQ9SU81MDA2MiZUcmFuc21pc3Npb25fSWQ9MjAyNjA1MDQxMTU0UFJfTkVXU19VU1BSX19fX19JTzUwMDYy?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" original-src="https://imageproxy.pbkrs.com/https://rt.prnewswire.com/rt.gif/query-RGF0ZUlkPTIwMjYwNTA0Jk5ld3NJdGVtSWQ9SU81MDA2MiZUcmFuc21pc3Npb25fSWQ9MjAyNjA1MDQxMTU0UFJfTkVXU19VU1BSX19fX19JTzUwMDYy"/></p>

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<p>NetSentries 宣布其 NST Assure CTEM 平台内的 AI 增强安全测试功能现已全面上线。此项增强利用了人机协作（HITL）模型下的 AI 辅助分析，能够高效验证现实世界中的安全漏洞，同时保持专家的监督。新功能旨在加速漏洞验证并提供更清晰的修复指导。未来的增强将包括采用先进的 AI 模型和受控评估，确保客户数据的安全，不用于 AI 训练。NetSentries 专注于为全球金融机构和企业提供进攻性安全评估服务</p>

<p><em>Leadership in early adoption of frontier AI for Adversarial Exposure Validation (AEV) and targeted assessments - under HITL governance</em></p>
<div class="lb-trans"><p><em>在对抗性暴露验证（AEV）和针对性评估中，前沿人工智能的早期采用领导力</em></p>
</div><p>, /PRNewswire/ -- NetSentries today announced the general availability of AI-augmented security testing capabilities across its expert-led targeted security assessments and within the Adversarial Exposure Validation (AEV) workflow of its NST Assure CTEM platform. These capabilities apply AI-assisted analysis within a strictly governed Human-in-the-Loop (HITL) operating model, accelerating validation of real-world exposures while preserving expert oversight, accountability, and customer control.</p>
<div class="lb-trans"><p>, /PRNewswire/ -- NetSentries 今天宣布其专家主导的针对性安全评估和 NST Assure CTEM 平台的对抗性暴露验证（AEV）工作流程中，人工智能增强的安全测试能力现已全面上线。这些能力在严格管理的人机协作（HITL）操作模型中应用人工智能辅助分析，加速了对现实世界暴露的验证，同时保持了专家的监督、责任和客户控制。</p>
</div><p>Continue Reading</p>
<div class="lb-trans"><p>继续阅读</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://www.prnewswire.com/news-releases/null" alt="" original-src="https://www.prnewswire.com/news-releases/null"/></p>
<p>NetSentries launches AI-augmented security testing across NST Assure AEV and zero-knowledge targeted assessments.</p>
<div class="lb-trans"><p>NetSentries 在 NST Assure AEV 和零知识针对性评估中推出人工智能增强的安全测试。</p>
</div><p>As part of this release, NetSentries applies commercially available frontier AI models, including various Claude models, within controlled security assessment environments to enhance reasoning, scale, exploit development, and coverage. All scoping, validation, severity determination, and reporting decisions remain the responsibility of NetSentries security professionals.</p>
<div class="lb-trans"><p>作为此次发布的一部分，NetSentries 在受控的安全评估环境中应用了商业可用的前沿人工智能模型，包括各种 Claude 模型，以增强推理、规模、漏洞开发和覆盖范围。所有的范围界定、验证、严重性判断和报告决策仍由 NetSentries 的安全专业人员负责。</p>
</div><p>Recent advances in AI reasoning and automation have increased the speed at which weaknesses can be analyzed across complex environments. NetSentries is applying these advances responsibly to help organizations identify, validate, and remediate exploitable exposures ahead of increasingly automated and AI-assisted threats.</p>
<div class="lb-trans"><p>最近在人工智能推理和自动化方面的进展提高了分析复杂环境中弱点的速度。NetSentries 正在负责任地应用这些进展，帮助组织识别、验证和修复可被利用的暴露，以应对日益自动化和人工智能辅助的威胁。</p>
</div><p>&#34;By applying AI-assisted analysis within NST Assure's AEV workflows and our targeted security assessments, while retaining full HITL governance, we now validate exposures more efficiently without compromising safety or accountability. This ensures findings remain auditable, defensible, and actionable.&#34;</p>
<div class="lb-trans"><p>&#34;通过在 NST Assure 的 AEV 工作流程和我们的针对性安全评估中应用人工智能辅助分析，同时保持完全的人机协作治理，我们现在能够更高效地验证暴露，而不影响安全性或责任。这确保了发现的结果可审计、可辩护且可操作。&#34;</p>
</div><p>- Arun Thomas, CTO and Co-Founder, NetSentries</p>
<div class="lb-trans"><p>- Arun Thomas, 首席技术官兼联合创始人，NetSentries</p>
</div><p><strong>What this means for customers</strong></p>
<div class="lb-trans"><p><strong>这对客户意味着什么</strong></p>
</div><p>NST Assure already applies AI-assisted techniques across exposure discovery, vulnerability analysis, prioritization, and vulnerability intelligence. This new AI-assisted HITL testing enhancement within the AEV module enables controlled validation of selected exposures while preserving a Human-in-the-Loop delivery model. Customers receive faster confirmation on whether a vulnerability can be exploited and clearer advice on what to fix first, based on real risks, with early use showing significant reductions in validation time while still keeping oversight and the ability to audit.</p>
<div class="lb-trans"><p>NST Assure 已经在暴露发现、漏洞分析、优先级排序和漏洞情报中应用了人工智能辅助技术。AEV 模块中这一新的人工智能辅助人机协作测试增强功能使得在保持人机协作交付模型的同时，能够对选定的暴露进行受控验证。客户可以更快确认漏洞是否可被利用，并根据实际风险获得更清晰的修复建议，早期使用显示验证时间显著减少，同时仍保持监督和审计能力。</p>
</div><p>From May 15, 2026, AI-augmented workflows will be available for targeted external zero-knowledge security assessments, subject to customer approval and engagement scoping. Credentialed and gray-box assessments will follow under the same governance model and with explicit customer consent. Final findings are issued only after human validation and quality assurance review.</p>
<div class="lb-trans"><p>从 2026 年 5 月 15 日起，人工智能增强的工作流程将适用于针对性的外部零知识安全评估，需经客户批准和参与范围界定。经过认证的灰盒评估将在相同的治理模型下进行，并需明确客户同意。最终发现仅在经过人工验证和质量保证审查后发布。</p>
</div><p>NetSentries is also applying AI-assisted techniques to strengthen secure code review and application assurance, supporting identification of complex logic flaws and insecure patterns while keeping remediation guidance expert-led and context-aware.</p>
<div class="lb-trans"><p>NetSentries 还在应用人工智能辅助技术来加强安全代码审查和应用程序保证，支持识别复杂逻辑缺陷和不安全模式，同时保持修复指导由专家主导并考虑上下文。</p>
</div><p><strong>Human expertise is amplified rather than replaced</strong></p>
<div class="lb-trans"><p><strong>人类专业知识得到增强而非取代</strong></p>
</div><p>Every AI-assisted exploitation validation runs in semi-autonomous mode with a HITL process. Expert security assessors from the NetSentries Security Assessment Team scope the engagement, validate every finding, and own all recommendations that appear in the customer deliverables.</p>
<div class="lb-trans"><p>每次人工智能辅助的利用验证都在半自主模式下运行，并采用人机协作流程。NetSentries 安全评估团队的专家安全评估人员负责范围界定，验证每一项发现，并对客户交付物中的所有建议负责。</p>
</div><p><strong>Controlled evolution of AI-augmented capabilities</strong></p>
<div class="lb-trans"><p><strong>人工智能增强能力的受控演变</strong></p>
</div><p>The NST Assure platform is designed to continuously absorb additional AI-assisted capabilities under strict Human-in-the-Loop controls. Future enhancements include:</p>
<div class="lb-trans"><p>NST Assure 平台旨在在严格的人机协作控制下持续吸收额外的人工智能辅助能力。未来的增强包括：</p>
</div><ul>
<li>Adoption of newer frontier reasoning models as they mature.</li>
<li>Security-specialized AI models, including Mythos-class frontier systems when commercially available, to assist advanced code and vulnerability analysis within governed testing environments.</li>
<li>Multi-agent orchestration engines are needed to scale the continuous assessment of AEVs under HITL governance.</li>
<li>AI-augmented credentialed and grey-box assessments, enabled under explicit customer consent.</li>
</ul>
<div class="lb-trans"><ul>
<li>随着新前沿推理模型的成熟而采用。</li>
<li>安全专用的人工智能模型，包括 Mythos 级前沿系统（在商业可用时），以协助在受控测试环境中进行高级代码和漏洞分析。</li>
<li>需要多代理编排引擎来扩展在 HITL 治理下对 AEV 的持续评估。</li>
<li>在明确客户同意下启用的人工智能增强的认证和灰盒评估。</li>
</ul>
</div><p><strong>Data and governance</strong></p>
<div class="lb-trans"><p><strong>数据和治理</strong></p>
</div><p>Customer data is not used to train any AI model. All AI-assisted activity is logged and governed under internal controls, including access boundaries, usage limits, and acceptable use enforcement.</p>
<div class="lb-trans"><p>客户数据不会用于训练任何人工智能模型。所有人工智能辅助活动都在内部控制下记录和管理，包括访问边界、使用限制和可接受使用的执行。</p>
</div><p><strong>About NetSentries</strong></p>
<div class="lb-trans"><p><strong>关于 NetSentries</strong></p>
</div><p>NetSentries is a global provider of offensive security assessment services to banks, financial institutions, and large enterprises across the world. Its flagship platform, NST Assure, delivers AI-driven Continuous Threat Exposure Management through External Exposure Discovery and Adversarial Exposure Validation.</p>
<div class="lb-trans"><p>NetSentries 是一家全球提供进攻性安全评估服务的公司，服务于全球的银行、金融机构和大型企业。其旗舰平台 NST Assure 通过外部暴露发现和对抗性暴露验证提供人工智能驱动的持续威胁暴露管理。</p>
</div><p><strong>Media contact</strong> Email: [email protected] Web: www.netsentries.com www.nstcyber.ai</p>
<div class="lb-trans"><p><strong>媒体联系</strong> 电子邮件: [email protected] 网站: www.netsentries.com www.nstcyber.ai</p>
</div><p><em>References to third</em> <em>-</em> <em>party AI models are for descriptive purposes only and do not imply partnership or endorsement. All trademarks belong to their respective owners.</em></p>
<div class="lb-trans"><p><em>对第三方人工智能模型的引用仅用于描述目的，并不意味着合作或认可。所有商标均属于其各自所有者。</em></p>
</div><p>Photo: https://mma.prnewswire.com/media/2971877/NetSentries_Security_Testing_AI.jpg</p>
<div class="lb-trans"><p>照片: https://mma.prnewswire.com/media/2971877/NetSentries_Security_Testing_AI.jpg</p>
</div><p>Logo: https://mma.prnewswire.com/media/2971907/Netsentries_Logo.jpg</p>
<div class="lb-trans"><p>标志: https://mma.prnewswire.com/media/2971907/Netsentries_Logo.jpg</p>
</div><p>SOURCE NetSentries</p>
<div class="lb-trans"><p>来源 NetSentries</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://rt.prnewswire.com/rt.gif/query-RGF0ZUlkPTIwMjYwNTA0Jk5ld3NJdGVtSWQ9SU81MDA2MiZUcmFuc21pc3Npb25fSWQ9MjAyNjA1MDQxMTU0UFJfTkVXU19VU1BSX19fX19JTzUwMDYy" alt="" original-src="https://rt.prnewswire.com/rt.gif?NewsItemId=IO50062&amp;Transmission_Id=202605041154PR_NEWS_USPR_____IO50062&amp;DateId=20260504"/></p>

NetSentries 宣布 AI 增强安全测试的全面上市