A10 Networks is advancing its strategy to secure customers’ AI applications. As AI adoption grows, it creates new architectures and security challenges in data centers and hybrid cloud infrastructures. A KPMG survey revealed over 76% of respondents fear data privacy and security risks from Generative AI (GenAI). To address these concerns, A10 Networks is expanding its infrastructure and security solutions to include an AI firewall and LLM safety tooling. These tools aim to enhance security, availability, and low latency for AI applications. The AI firewall inspects traffic to AI inference applications, enforces policies, and minimizes latency. A10 Networks’ president and CEO, Dhrupad Trivedi, highlights the importance of securing AI applications to maximize performance and availability.
A10 Networks sta avanzando nella sua strategia per garantire la sicurezza delle applicazioni AI dei clienti. Con la crescita dell’adozione dell’AI, emergono nuove architetture e sfide di sicurezza nei data center e nelle infrastrutture cloud ibride. Un sondaggio di KPMG ha rivelato che oltre il 76% dei partecipanti teme rischi per la privacy e la sicurezza dei dati legati all’AI generativa (GenAI). Per affrontare queste preoccupazioni, A10 Networks sta espandendo le sue soluzioni infrastrutturali e di sicurezza per includere un firewall AI e strumenti di sicurezza LLM. Questi strumenti mirano a migliorare la sicurezza, la disponibilità e la bassa latenza per le applicazioni AI. Il firewall AI esamina il traffico delle applicazioni di inferenza AI, applica le politiche e minimizza la latenza. Il presidente e CEO di A10 Networks, Dhrupad Trivedi, sottolinea l’importanza di garantire la sicurezza delle applicazioni AI per massimizzare le prestazioni e la disponibilità.
A10 Networks está avanzando en su estrategia para asegurar las aplicaciones de IA de los clientes. A medida que crece la adopción de la IA, se crean nuevas arquitecturas y desafíos de seguridad en los centros de datos y en las infraestructuras de nube híbrida. Una encuesta de KPMG reveló que más del 76% de los encuestados teme los riesgos de privacidad y seguridad de los datos derivados de la IA generativa (GenAI). Para abordar estas preocupaciones, A10 Networks está ampliando sus soluciones de infraestructura y seguridad para incluir un firewall de IA y herramientas de seguridad LLM. Estas herramientas tienen como objetivo mejorar la seguridad, la disponibilidad y la baja latencia para las aplicaciones de IA. El firewall de IA examina el tráfico hacia las aplicaciones de inferencia de IA, aplica políticas y minimiza la latencia. El presidente y CEO de A10 Networks, Dhrupad Trivedi, destaca la importancia de asegurar las aplicaciones de IA para maximizar el rendimiento y la disponibilidad.
A10 Networks는 고객의 AI 애플리케이션을 보호하기 위한 전략을 발전시키고 있습니다. AI 채택이 증가함에 따라 데이터 센터와 하이브리드 클라우드 인프라에서 새로운 아키텍처와 보안 문제가 발생하고 있습니다. KPMG의 조사에 따르면 응답자의 76% 이상이 생성적 AI(GenAI)로 인한 데이터 프라이버시 및 보안 위험을 우려하고 있습니다. 이러한 우려를 해결하기 위해 A10 Networks는 AI 방화벽 및 LLM 안전 도구를 포함하도록 인프라 및 보안 솔루션을 확장하고 있습니다. 이 도구들은 AI 애플리케이션의 보안, 가용성 및 낮은 대기 시간을 향상시키는 것을 목표로 합니다. AI 방화벽은 AI 추론 애플리케이션으로의 트래픽을 검사하고 정책을 시행하며 대기 시간을 최소화합니다. A10 Networks의 사장 겸 CEO인 Dhrupad Trivedi는 성능과 가용성을 극대화하기 위해 AI 애플리케이션의 보안을 강화하는 것이 중요하다고 강조합니다.
A10 Networks fait progresser sa stratégie pour sécuriser les applications d’IA de ses clients. Avec l’adoption croissante de l’IA, de nouvelles architectures et défis de sécurité émergent dans les centres de données et les infrastructures cloud hybrides. Une enquête de KPMG a révélé que plus de 76 % des répondants craignent des risques liés à la confidentialité et à la sécurité des données dus à l’IA générative (GenAI). Pour répondre à ces préoccupations, A10 Networks élargit ses solutions d’infrastructure et de sécurité pour inclure un pare-feu IA et des outils de sécurité LLM. Ces outils visent à améliorer la sécurité, la disponibilité et la faible latence des applications IA. Le pare-feu IA inspecte le trafic destiné aux applications d’inférence IA, applique des politiques et minimise la latence. Dhrupad Trivedi, président-directeur général d’A10 Networks, souligne l’importance de sécuriser les applications IA pour maximiser les performances et la disponibilité.
A10 Networks entwickelt seine Strategie weiter, um die AI-Anwendungen der Kunden zu sichern. Mit dem wachsenden Einsatz von KI entstehen neue Architekturen und Sicherheitsherausforderungen in Rechenzentren und hybriden Cloud-Infrastrukturen. Eine Umfrage von KPMG ergab, dass über 76 % der Befragten Datenschutz- und Sicherheitsrisiken im Zusammenhang mit generativer KI (GenAI) befürchten. Um diesen Bedenken zu begegnen, erweitert A10 Networks seine Infrastruktur- und Sicherheitslösungen um eine AI-Firewall und LLM-Sicherheitswerkzeuge. Diese Werkzeuge sollen die Sicherheit, Verfügbarkeit und niedrige Latenz für AI-Anwendungen verbessern. Die AI-Firewall überwacht den Datenverkehr zu AI-Inferenzanwendungen, setzt Richtlinien durch und minimiert die Latenz. Dhrupad Trivedi, Präsident und CEO von A10 Networks, betont die Bedeutung der Sicherung von AI-Anwendungen zur Maximierung der Leistung und Verfügbarkeit.
Positive
- A10 Networks is expanding its security solutions to include an AI firewall and LLM safety tooling.
- The AI firewall can enhance security, availability, and low latency for AI applications.
Negative
- A KPMG survey indicates over 76% of respondents fear data privacy and security risks from Generative AI.
Insights
The announcement of A10 Networks’ AI firewall development represents a strategic pivot into the growing AI security market, but lacks concrete product specifications, pricing, or launch timeline. While addressing a legitimate market need – with
The company’s focus on AI security infrastructure, particularly for LLM protection, aligns with market trends but faces intense competition from established cybersecurity players. The proposed AI firewall’s ability to inspect AI traffic and enforce security policies could provide a competitive advantage if executed well, but success will depend heavily on technical implementation and market adoption rates.
The AI security market represents a significant growth opportunity, but A10 Networks’ current
While the strategic direction is sound, this announcement lacks the specificity needed to evaluate potential revenue impact or market share capture. Investors should watch for future announcements detailing product specifications, partnerships and initial customer adoption metrics before drawing conclusions about the initiative’s value creation potential.
Emerging AI Workloads Require New Approaches to Enhance Security, Availability and Low Latency
Artificial intelligence (AI) adoption is creating new architectures in data centers and hybrid cloud infrastructures. It is also creating the need for new security solutions given the increased attack surface. According to a survey by KPMG, over 76 percent of respondents think they will be exposed to data privacy and security risks as a result of using Generative AI (GenAI). With this risk, security teams must develop new methods to secure AI applications in production. The top concerns include the safety of large language models (LLMs) including open source (e.g., LLAMA 3.1).
To help address these concerns, A10 Networks (NYSE: ATEN) is expanding its high-performance infrastructure and security solutions to now include an AI firewall and LLM safety tooling.
Developing New Approaches to Secure New Applications
Organizations that are putting LLMs into production will require new insights and easy-to-integrate solutions to deliver security and availability of inference workloads. These include tools that discover vulnerabilities such as responding to prompts that cause the model to hallucinate or divulge information that is proprietary or personally identifiable in nature. Additional tools would be required to, in some instances, break a secured model to help identify ways to make the model stronger.
New solutions like an AI firewall can be used to secure production LLMs. An AI firewall is a new approach to securing a new set of applications. It is a solution that can inspect the request and response path of traffic to an AI Inference application. An AI firewall can be applied to enforce specific policies, for example, to drop prompts that can be harmful to the untested and tested LLM. An AI firewall operates at a high speed to minimize latency and to work in conjunction with a proxy, or it may have a proxy function built in to terminate encrypted traffic and process traffic directly. Ultimately, an AI firewall can take actions to increase the security of AI applications, while also helping to provide availability and low latency.
“AI adoption is rapidly evolving as organizations forecast the benefits of AI in bringing new services and capabilities for their customers. But security remains a chief concern. Building on our expertise in helping secure service providers and hybrid cloud infrastructures, we are driving our AI strategy forward to develop new approaches. An AI firewall can help secure these new and evolving applications, while minimizing latency and maximizing availability so AI applications perform as they are intended,” said Dhrupad Trivedi, president and CEO, A10 Networks.
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About A10 Networks
A10 Networks provides security and infrastructure solutions for on-premises, hybrid cloud, and edge-cloud environments. Our 7000+ customers span global large enterprises and communications, cloud and web service providers who must provide business-critical applications and networks that are secure, available, and efficient. Founded in 2004, A10 Networks is based in
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Source: A10 Networks
FAQ
What new security solutions is A10 Networks introducing for AI applications?
A10 Networks is introducing an AI firewall and LLM safety tooling to enhance security, availability, and low latency for AI applications.
What percentage of respondents in the KPMG survey fear data privacy and security risks from GenAI?
Over 76% of respondents in the KPMG survey fear data privacy and security risks from Generative AI (GenAI).
How does the AI firewall from A10 Networks improve AI application security?
The AI firewall inspects traffic to AI inference applications, enforces specific policies, and minimizes latency to enhance security and availability.
Who is the president and CEO of A10 Networks?
The president and CEO of A10 Networks is Dhrupad Trivedi.
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