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HPE Aruba Networking Strengthens Cyber Defenses with New AI-powered Network Detection and Response and Campus-based Zero Trust Network Access

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HPE Aruba Networking has expanded its security-first, AI-powered networking portfolio with new behavioral analytics-based network detection and response (NDR) capabilities and enhanced cloud-based universal Zero Trust Network Access (ZTNA). The NDR solution uses AI models to monitor IoT devices for unusual activity, addressing the growing need to secure these devices as they become increasingly important for business processes and AI model training. HPE is also extending its ZTNA approach to campus-based local area networks, ensuring consistent access control policies across cloud and on-premises environments.

These new tools aim to protect users, devices, and applications at scale, particularly as AI assets become potential attack targets. The enhancements follow HPE Aruba Networking's recent unveiling of AI-powered security observability and monitoring capabilities within HPE Aruba Networking Central and the company's first SSE firewall-as-a-service at the RSA Conference.

HPE Aruba Networking ha espanso il suo portafoglio di networking con un focus sulla sicurezza e alimentato dall'AI introducendo nuove capacità di rilevamento e risposta alla rete (NDR) basate su analisi comportamentali, e migliorando l'accesso universale Zero Trust Network Access (ZTNA) basato su cloud. La soluzione NDR utilizza modelli di AI per monitorare i dispositivi IoT per attività insolite, affrontando la crescente necessità di proteggere questi dispositivi man mano che diventano sempre più importanti per i processi aziendali e l'addestramento dei modelli AI. HPE sta anche estendendo il suo approccio ZTNA a reti locali campus-based, garantendo politiche di controllo degli accessi coerenti tra ambienti cloud e on-premises.

Questi nuovi strumenti mirano a proteggere utenti, dispositivi e applicazioni su larga scala, in particolare poiché le risorse AI diventano potenziali bersagli per attacchi. I miglioramenti seguono la recente presentazione da parte di HPE Aruba Networking delle capacità di osservabilità e monitoraggio della sicurezza alimentate dall'AI all'interno di HPE Aruba Networking Central e il primo firewall-as-a-service SSE dell'azienda alla RSA Conference.

HPE Aruba Networking ha expandido su cartera de redes impulsada por AI y centrada en la seguridad con nuevas capacidades de detección y respuesta de red (NDR) basadas en análisis de comportamiento y con un acceso universal Zero Trust Network Access (ZTNA) mejorado basado en la nube. La solución NDR utiliza modelos de AI para monitorear dispositivos IoT en busca de actividades inusuales, abordando la creciente necesidad de asegurar estos dispositivos a medida que se vuelven cada vez más importantes para los procesos de negocio y el entrenamiento de modelos de AI. HPE también está extendiendo su enfoque ZTNA a redes de área local basadas en campus, garantizando políticas de control de acceso consistentes entre entornos en la nube y locales.

Estas nuevas herramientas tienen como objetivo proteger a los usuarios, dispositivos y aplicaciones a gran escala, especialmente a medida que los activos de AI se convierten en objetivos potenciales de ataque. Las mejoras siguen al reciente lanzamiento de capacidades de observabilidad y monitoreo de seguridad impulsadas por AI dentro de HPE Aruba Networking Central y el primer cortafuegos como servicio SSE de la compañía en la RSA Conference.

HPE 아루바 네트워킹은 보안 중심의 AI 기반 네트워킹 포트폴리오를 확장했습니다. 새로운 행동 분석 기반 네트워크 탐지 및 응답(NDR) 기능과 클라우드 기반의 범용 제로 트러스트 네트워크 접근(ZTNA)을 개선하였습니다. NDR 솔루션은 AI 모델을 사용하여 IoT 장치를 모니터링하고 이례적인 활동을 탐지하여, 이러한 장치가 비즈니스 프로세스와 AI 모델 훈련에 점점 더 중요해짐에 따라 보안을 강화합니다. 또한 HPE는 캠퍼스 기반의 로컬 영역 네트워크에 대한 ZTNA 접근 방식을 확대하여 클라우드와 온프레미스 환경 전반에 걸쳐 일관된 접근 제어 정책을 보장합니다.

이 새로운 도구는 특히 AI 자산이 공격 대상이 될 가능성이 커짐에 따라, 대규모로 사용자, 장치 및 애플리케이션을 보호하는 것을 목표로 하고 있습니다. 이러한 개선은 HPE 아루바 네트워킹 센트럴 내에서 AI 기반의 보안 가시성 및 모니터링 기능을 최근 공개한 후, RSA 컨퍼런스에서 회사의 첫 번째 SSE 방화벽 서비스 출시와 함께 이루어진 것입니다.

HPE Aruba Networking a élargi son portefeuille de réseaux axé sur la sécurité et alimenté par l'IA avec de nouvelles capacités de détection et de réponse réseau (NDR) basées sur l'analyse comportementale, tout en améliorant l'accès universel basé sur le cloud à Zero Trust Network Access (ZTNA). La solution NDR utilise des modèles d'IA pour surveiller les appareils IoT afin de détecter des activités inhabituelles, répondant ainsi au besoin croissant de sécuriser ces dispositifs alors qu'ils deviennent de plus en plus importants pour les processus métier et l'entraînement des modèles d'IA. HPE étend également son approche ZTNA aux réseaux locaux basés sur les campus, garantissant des politiques de contrôle d'accès cohérentes entre les environnements cloud et sur site.

Ces nouveaux outils visent à protéger à grande échelle les utilisateurs, les dispositifs et les applications, en particulier à mesure que les ressources d'IA deviennent des cibles potentielles d'attaque. Ces améliorations font suite à la récente révélation des capacités d'observabilité et de surveillance de la sécurité alimentées par l'IA au sein de HPE Aruba Networking Central et au premier pare-feu en tant que service SSE de l'entreprise lors de la RSA Conference.

HPE Aruba Networking hat sein auf Sicherheit fokussiertes, KI-gestütztes Netzwerkportfolio erweitert und neue, verhaltensanalytikbasierte Funktionen zur Netzwerkerkennung und -reaktion (NDR) sowie ein verbessertes cloudbasiertes universelles Zero Trust Network Access (ZTNA) hinzugefügt. Die NDR-Lösung nutzt KI-Modelle, um IoT-Geräte auf ungewöhnliche Aktivitäten zu überwachen und damit dem wachsenden Bedarf gerecht zu werden, diese Geräte zu sichern, während sie für Geschäftsprozesse und das Training von KI-Modellen immer wichtiger werden. HPE erweitert außerdem seinen ZTNA-Ansatz auf Campus-basierte lokale Netzwerke, um eine konsistente Zugriffskontrollpolitik über Cloud- und On-Premises-Umgebungen hinweg zu gewährleisten.

Diese neuen Werkzeuge zielen darauf ab, Benutzer, Geräte und Anwendungen im großen Maßstab zu schützen, insbesondere da KI-Ressourcen potenzielle Angriffsziel werden. Die Verbesserungen folgen der jüngsten Enthüllung von HPE Aruba Networking über KI-gestützte Sicherheitsbeobachtungs- und Überwachungsfähigkeiten innerhalb von HPE Aruba Networking Central sowie dem ersten SSE-Firewall-as-a-Service des Unternehmens auf der RSA Conference.

Positive
  • Introduction of AI-powered behavioral analytics for network detection and response
  • Extension of Zero Trust Network Access to campus-based local area networks
  • Enhanced security for IoT devices, critical for business processes and AI model training
  • Combination of attack detection with policy recommendations for threat protection
  • Recognition for 'Coolest Cybersecurity Products at RSAC 2024'
Negative
  • None.

Insights

HPE Aruba Networking's new AI-powered security solutions represent a significant advancement in network defense. The introduction of behavioral analytics-based Network Detection and Response (NDR) capabilities is particularly noteworthy. This technology leverages AI models to monitor IoT devices, which are often vulnerable entry points for cyberattacks.

The extension of Zero Trust Network Access (ZTNA) to campus-based local area networks is a strategic move. It allows for consistent security policy enforcement across cloud and on-premises environments, addressing a common pain point for enterprises with hybrid infrastructures.

These enhancements position HPE Aruba Networking as a strong competitor in the rapidly evolving network security market. The focus on AI-driven security and unified policy management aligns well with current enterprise needs, especially as organizations grapple with the security implications of increased IoT adoption and AI integration.

The integration of AI-powered behavioral analytics for IoT device monitoring is a crucial development. As IoT devices proliferate in enterprise environments, they often become weak links in security infrastructure. HPE's approach addresses this by using AI to detect anomalies in device behavior, potentially thwarting attacks before they escalate.

Moreover, the recognition of IoT's role in training and activating Generative AI models highlights an important trend. As organizations increasingly rely on IoT-generated data for AI applications, securing these devices becomes paramount. HPE's solution not only protects IoT devices but also safeguards the AI models they feed, which is critical for maintaining the integrity of AI-driven business processes.

This move positions HPE well in the convergence of IoT, AI and cybersecurity - a nexus that's becoming increasingly important in enterprise technology strategies.

Expanded security solutions feature behavioral analytics for threat detection and response and ability to enforce security policies in the cloud and the local area network via Zero Trust Network Access (ZTNA)

HOUSTON--(BUSINESS WIRE)-- Hewlett Packard Enterprise (NYSE: HPE) today announced the expansion of its security-first, AI-powered networking portfolio with the introduction of behavioral analytics-based network detection and response (NDR) capabilities, delivered by HPE Aruba Networking Central.

The company is also enhancing its cloud-based universal ZTNA approach by extending its reach to campus-based local area networks. This new local edge capability brings the same access control policies defined for the cloud directly to campuses and data centers, delivering a superior user experience and consistent enforcement regardless of a user's location or connection method.

The new NDR solution leverages telemetry from HPE Aruba Networking Central’s data lake to train and deploy AI models to monitor and detect unusual activity in vulnerable IoT devices that play an increasingly important role in supporting mission-critical business processes. As the opportunity grows for IoT to provide organizations with data to train and activate Generative AI models, so too does the critical need to detect changes in network traffic patterns, connection status or dynamic device attributes that are indicative of a successful compromise.

“Enterprises are increasingly realizing that unsecured IoT devices in the network present an observability blind spot in their security solutions. Those devices can be exploited for initiating larger network attacks, and thus are also one of the largest contributors to a growing attack surface,” said Jon Green, chief technology and security officer, HPE Aruba Networking. “In addition, as security teams increasingly rely on the network to deliver zero trust security solutions, HPE Aruba Networking is providing the ability to leverage a single access control policy for application resources, on-prem or off-prem, that customers can adopt to reduce overlapping and potentially confusing controls."

Also, to accelerate threat response, HPE Aruba Networking Central combines attack detection with new policy recommendations to protect against threats by intercepting potential attacks. To ensure recommendations will not disrupt network operations, teams can also preview changes to their security policies before implementation as part of their enforcement and response workflow.

“Companies need AI-powered behavioral network detection and response, universal security policies, and edge-to-cloud enforcement to protect users, devices, and applications at scale a key consideration as AI assets throughout the enterprise increasingly become attack targets,” said Maribel Lopez, founder and industry analyst at Lopez Research.

These new tools further expand HPE Aruba Networking’s security portfolio, following the new solutions unveiled at the RSA Conference in May, which included AI-powered security observability and monitoring capabilities within HPE Aruba Networking Central, and the company’s first SSE firewall-as-a-service. Also at the conference, HPE Aruba Networking was recognized for one of the “Coolest Cybersecurity Products at RSAC 2024.”

HPE Aruba Networking Central and HPE Aruba Networking SSE will be on display at Black Hat USA 2024, taking place August 7-8, 2024, at booth #1160. In addition, HPE will be showcasing secure compute management and Zerto rapid air-gapped recovery solutions that complement network security controls for comprehensive protection against cyber threats like ransomware.

Additional Resources & Recent HPE Aruba Networking News:

About Hewlett Packard Enterprise

Hewlett Packard Enterprise (NYSE: HPE) is the global edge-to-cloud company that helps organizations accelerate outcomes by unlocking value from all of their data, everywhere. Built on decades of reimagining the future and innovating to advance the way people live and work, HPE delivers unique, open, and intelligent technology solutions as a service. With offerings spanning Cloud Services, Compute, High Performance Computing & AI, Intelligent Edge, Software, and Storage, HPE provides a consistent experience across all clouds and edges, helping customers develop new business models, engage in new ways, and increase operational performance. For more information, visit: www.hpe.com

Ben Stricker

ben.stricker@hpe.com

Source: Hewlett Packard Enterprise

FAQ

What new security features has HPE Aruba Networking introduced?

HPE Aruba Networking has introduced behavioral analytics-based network detection and response (NDR) capabilities and extended its Zero Trust Network Access (ZTNA) to campus-based local area networks.

How does HPE Aruba Networking's new NDR solution work?

The NDR solution uses AI models trained on telemetry from HPE Aruba Networking Central's data lake to monitor and detect unusual activity in IoT devices.

What is the significance of extending ZTNA to campus-based networks for HPE?

Extending ZTNA to campus-based networks allows HPE to provide consistent access control policies across cloud and on-premises environments, improving user experience and security enforcement.

How does HPE Aruba Networking's new solution address AI-related security concerns?

The new tools aim to protect AI assets, which are increasingly becoming attack targets, by providing AI-powered behavioral network detection and response, universal security policies, and edge-to-cloud enforcement.

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