<p><em>在對抗性暴露驗證（AEV）和針對性評估中，前沿人工智能的早期採用領導力</em></p>
<p>, /PRNewswire/ -- NetSentries 今天宣佈其專家主導的針對性安全評估和 NST Assure CTEM 平台的對抗性暴露驗證（AEV）工作流程中，人工智能增強的安全測試能力現已全面上線。這些能力在嚴格管理的人機協作（HITL）操作模型中應用人工智能輔助分析，加速了對現實世界暴露的驗證，同時保持了專家的監督、責任和客户控制。</p>
<p>繼續閲讀</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 和零知識針對性評估中推出人工智能增強的安全測試。</p>
<p>作為此次發佈的一部分，NetSentries 在受控的安全評估環境中應用了商業可用的前沿人工智能模型，包括各種 Claude 模型，以增強推理、規模、漏洞開發和覆蓋範圍。所有的範圍界定、驗證、嚴重性判斷和報告決策仍由 NetSentries 的安全專業人員負責。</p>
<p>最近在人工智能推理和自動化方面的進展提高了分析複雜環境中弱點的速度。NetSentries 正在負責任地應用這些進展，幫助組織識別、驗證和修復可被利用的暴露，以應對日益自動化和人工智能輔助的威脅。</p>
<p>&#34;通過在 NST Assure 的 AEV 工作流程和我們的針對性安全評估中應用人工智能輔助分析，同時保持完全的人機協作治理，我們現在能夠更高效地驗證暴露，而不影響安全性或責任。這確保了發現的結果可審計、可辯護且可操作。&#34;</p>
<p>- Arun Thomas, 首席技術官兼聯合創始人，NetSentries</p>
<p><strong>這對客户意味着什麼</strong></p>
<p>NST Assure 已經在暴露發現、漏洞分析、優先級排序和漏洞情報中應用了人工智能輔助技術。AEV 模塊中這一新的人工智能輔助人機協作測試增強功能使得在保持人機協作交付模型的同時，能夠對選定的暴露進行受控驗證。客户可以更快確認漏洞是否可被利用，並根據實際風險獲得更清晰的修復建議，早期使用顯示驗證時間顯著減少，同時仍保持監督和審計能力。</p>
<p>從 2026 年 5 月 15 日起，人工智能增強的工作流程將適用於針對性的外部零知識安全評估，需經客户批准和參與範圍界定。經過認證的灰盒評估將在相同的治理模型下進行，並需明確客户同意。最終發現僅在經過人工驗證和質量保證審查後發佈。</p>
<p>NetSentries 還在應用人工智能輔助技術來加強安全代碼審查和應用程序保證，支持識別複雜邏輯缺陷和不安全模式，同時保持修復指導由專家主導並考慮上下文。</p>
<p><strong>人類專業知識得到增強而非取代</strong></p>
<p>每次人工智能輔助的利用驗證都在半自主模式下運行，並採用人機協作流程。NetSentries 安全評估團隊的專家安全評估人員負責範圍界定，驗證每一項發現，並對客户交付物中的所有建議負責。</p>
<p><strong>人工智能增強能力的受控演變</strong></p>
<p>NST Assure 平台旨在在嚴格的人機協作控制下持續吸收額外的人工智能輔助能力。未來的增強包括：</p>
<ul>
<li>隨着新前沿推理模型的成熟而採用。</li>
<li>安全專用的人工智能模型，包括 Mythos 級前沿系統（在商業可用時），以協助在受控測試環境中進行高級代碼和漏洞分析。</li>
<li>需要多代理編排引擎來擴展在 HITL 治理下對 AEV 的持續評估。</li>
<li>在明確客户同意下啓用的人工智能增強的認證和灰盒評估。</li>
</ul>
<p><strong>數據和治理</strong></p>
<p>客户數據不會用於訓練任何人工智能模型。所有人工智能輔助活動都在內部控制下記錄和管理，包括訪問邊界、使用限制和可接受使用的執行。</p>
<p><strong>關於 NetSentries</strong></p>
<p>NetSentries 是一家全球提供進攻性安全評估服務的公司，服務於全球的銀行、金融機構和大型企業。其旗艦平台 NST Assure 通過外部暴露發現和對抗性暴露驗證提供人工智能驅動的持續威脅暴露管理。</p>
<p><strong>媒體聯繫</strong> 電子郵件: [email protected] 網站: www.netsentries.com www.nstcyber.ai</p>
<p><em>對第三方人工智能模型的引用僅用於描述目的，並不意味着合作或認可。所有商標均屬於其各自所有者。</em></p>
<p>照片: https://mma.prnewswire.com/media/2971877/NetSentries_Security_Testing_AI.jpg</p>
<p>標誌: https://mma.prnewswire.com/media/2971907/Netsentries_Logo.jpg</p>
<p>來源 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>

北美科技軟件股指數 ETF - iShares

標普軟件與服務 ETF - SPDR

<p>NetSentries 宣佈其 NST Assure CTEM 平台內的 AI 增強安全測試功能現已全面上線。此項增強利用了人機協作（HITL）模型下的 AI 輔助分析，能夠高效驗證現實世界中的安全漏洞，同時保持專家的監督。新功能旨在加速漏洞驗證並提供更清晰的修復指導。未來的增強將包括採用先進的 AI 模型和受控評估，確保客户數據的安全，不用於 AI 訓練。NetSentries 專注於為全球金融機構和企業提供進攻性安全評估服務</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>在對抗性暴露驗證（AEV）和針對性評估中，前沿人工智能的早期採用領導力</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 今天宣佈其專家主導的針對性安全評估和 NST Assure CTEM 平台的對抗性暴露驗證（AEV）工作流程中，人工智能增強的安全測試能力現已全面上線。這些能力在嚴格管理的人機協作（HITL）操作模型中應用人工智能輔助分析，加速了對現實世界暴露的驗證，同時保持了專家的監督、責任和客户控制。</p>
</div><p>Continue Reading</p>
<div class="lb-trans"><p>繼續閲讀</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 和零知識針對性評估中推出人工智能增強的安全測試。</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>作為此次發佈的一部分，NetSentries 在受控的安全評估環境中應用了商業可用的前沿人工智能模型，包括各種 Claude 模型，以增強推理、規模、漏洞開發和覆蓋範圍。所有的範圍界定、驗證、嚴重性判斷和報告決策仍由 NetSentries 的安全專業人員負責。</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動化方面的進展提高了分析複雜環境中弱點的速度。NetSentries 正在負責任地應用這些進展，幫助組織識別、驗證和修復可被利用的暴露，以應對日益自動化和人工智能輔助的威脅。</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;通過在 NST Assure 的 AEV 工作流程和我們的針對性安全評估中應用人工智能輔助分析，同時保持完全的人機協作治理，我們現在能夠更高效地驗證暴露，而不影響安全性或責任。這確保了發現的結果可審計、可辯護且可操作。&#34;</p>
</div><p>- Arun Thomas, CTO and Co-Founder, NetSentries</p>
<div class="lb-trans"><p>- Arun Thomas, 首席技術官兼聯合創始人，NetSentries</p>
</div><p><strong>What this means for customers</strong></p>
<div class="lb-trans"><p><strong>這對客户意味着什麼</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 已經在暴露發現、漏洞分析、優先級排序和漏洞情報中應用了人工智能輔助技術。AEV 模塊中這一新的人工智能輔助人機協作測試增強功能使得在保持人機協作交付模型的同時，能夠對選定的暴露進行受控驗證。客户可以更快確認漏洞是否可被利用，並根據實際風險獲得更清晰的修復建議，早期使用顯示驗證時間顯著減少，同時仍保持監督和審計能力。</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>從 2026 年 5 月 15 日起，人工智能增強的工作流程將適用於針對性的外部零知識安全評估，需經客户批准和參與範圍界定。經過認證的灰盒評估將在相同的治理模型下進行，並需明確客户同意。最終發現僅在經過人工驗證和質量保證審查後發佈。</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 還在應用人工智能輔助技術來加強安全代碼審查和應用程序保證，支持識別複雜邏輯缺陷和不安全模式，同時保持修復指導由專家主導並考慮上下文。</p>
</div><p><strong>Human expertise is amplified rather than replaced</strong></p>
<div class="lb-trans"><p><strong>人類專業知識得到增強而非取代</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>每次人工智能輔助的利用驗證都在半自主模式下運行，並採用人機協作流程。NetSentries 安全評估團隊的專家安全評估人員負責範圍界定，驗證每一項發現，並對客户交付物中的所有建議負責。</p>
</div><p><strong>Controlled evolution of AI-augmented capabilities</strong></p>
<div class="lb-trans"><p><strong>人工智能增強能力的受控演變</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 平台旨在在嚴格的人機協作控制下持續吸收額外的人工智能輔助能力。未來的增強包括：</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>隨着新前沿推理模型的成熟而採用。</li>
<li>安全專用的人工智能模型，包括 Mythos 級前沿系統（在商業可用時），以協助在受控測試環境中進行高級代碼和漏洞分析。</li>
<li>需要多代理編排引擎來擴展在 HITL 治理下對 AEV 的持續評估。</li>
<li>在明確客户同意下啓用的人工智能增強的認證和灰盒評估。</li>
</ul>
</div><p><strong>Data and governance</strong></p>
<div class="lb-trans"><p><strong>數據和治理</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>客户數據不會用於訓練任何人工智能模型。所有人工智能輔助活動都在內部控制下記錄和管理，包括訪問邊界、使用限制和可接受使用的執行。</p>
</div><p><strong>About NetSentries</strong></p>
<div class="lb-trans"><p><strong>關於 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 是一家全球提供進攻性安全評估服務的公司，服務於全球的銀行、金融機構和大型企業。其旗艦平台 NST Assure 通過外部暴露發現和對抗性暴露驗證提供人工智能驅動的持續威脅暴露管理。</p>
</div><p><strong>Media contact</strong> Email: [email protected] Web: www.netsentries.com www.nstcyber.ai</p>
<div class="lb-trans"><p><strong>媒體聯繫</strong> 電子郵件: [email protected] 網站: 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>對第三方人工智能模型的引用僅用於描述目的，並不意味着合作或認可。所有商標均屬於其各自所有者。</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>標誌: https://mma.prnewswire.com/media/2971907/Netsentries_Logo.jpg</p>
</div><p>SOURCE NetSentries</p>
<div class="lb-trans"><p>來源 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 宣佈 AI 增強安全測試的全面上市