A10 Networks Demonstrates Capabilities for the Security, Resilience and Performance of AI Infrastructure | ATEN Stock News

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May 28, 2025
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  • A10 Networks (ATEN, Financial) showcases AI firewall and predictive performance capabilities at Interop Tokyo 2025.
  • New solutions address key AI deployment challenges: security, latency, and operational complexity.
  • Capabilities protect AI environments through high-performance security and resilience measures.

Organizations worldwide are rapidly adopting artificial intelligence (AI) applications, necessitating robust infrastructure to support these advancements. To meet these challenges, A10 Networks (ATEN) has unveiled new AI firewall and predictive performance capabilities set to be demonstrated at the Interop Tokyo conference, “AI Steps into Reality,” from June 11-13, 2025.

A10 Networks is launching innovative AI firewall solutions designed to be deployed in front of application programming interfaces (APIs) or URLs that engage large language models (LLMs), safeguarding them against cyber threats. These solutions are capable of preventing, detecting, and mitigating attacks by inspecting traffic at the prompt level and enforcing crucial security policies.

The company’s new capabilities extend beyond security, focusing on optimizing performance for AI and LLM inference environments. By offloading demanding tasks such as TLS/SSL decryption and optimizing traffic routing, A10 Networks enhances network performance, allowing customers to identify and address potential issues before they escalate.

Built on GPU-enabled hardware, A10’s predictive performance system provides an early warning mechanism to help maintain network efficiency and avoid unscheduled downtimes. This empowers customers to plan for optimal operations, ensuring resilience and security in AI infrastructure.

With over 20 years of experience, A10 Networks continues to expand its offerings to meet the growing demands of AI-ready data centers, providing solutions that address latency, security, and operational complexity in AI deployments.

Disclosures

I/We may personally own shares in some of the companies mentioned above. However, those positions are not material to either the company or to my/our portfolios.