Keysight Technologies, Inc. today announced the APS-ONE-400, a modular network cybersecurity test platform designed to significantly boost performance for Layer 4-7 traffic, encrypted traffic, and Elephant Flow traffic. The new 4x100GE platform enables network equipment manufacturers (NEMs), service providers, and data center operators to validate demanding scenarios while lowering overall infrastructure requirements. By providing hyperscale traffic generation and cybersecurity validation in a compact 1 rack unit (RU) system, the appliance addresses the growing complexity of network loads driven by AI and large language model (LLM) workloads.

The APS-ONE-400 is an addition to Keysight's APS-100/400GE hardware family. It generates hyperscale Layer 4-7 traffic, post-quantum cryptography (PQC)-encrypted Transport Layer Security (TLS) throughput, security strikes, and Zero Trust Network Access (ZTNA) test capabilities. The platform is designed to help users validate that their solutions can withstand legitimate and malicious traffic demands prior to deployment, potentially reducing the need for multiple specialized test tools.

Performance Specifications

The platform delivers high throughput in a compact form factor, aiming to minimize rack space, cooling, and power consumption. Key performance metrics include the ability to handle various traffic types and security strikes efficiently.

Scalability and Integration

The APS-ONE-400 can be deployed as a stand-alone appliance or seamlessly integrated with existing deployments of Keysight’s APS-100/400GE series, including the APS-M8400, APS-M1010, and APS-ONE-100. It offers fanout support for 100/25/10GE speeds to accommodate a range of critical network requirements. When paired with the APS-M8400 appliance or APS-M1010 management controller, the platform enables hyperscale testbeds capable of emulating data center and service provider environments.

In these hyperscale configurations, the system can generate up to 16 terabits per second (Tbps) of Layer 4-7 traffic and 15 Tbps of TLS traffic. It also supports up to 20 billion concurrent connections and 25 million TLS connections per second. The solution is designed as a "pay-as-you-grow" model, allowing users to scale capacity as requirements evolve.

Ram Periakaruppan, Vice President and General Manager of Keysight's Network Test and Security Solutions, stated that the exponential growth of data transfers and bandwidth demands from AI and machine learning workloads is straining network infrastructures. He emphasized that the modular APS-ONE-400 compute node delivers new heights in realism by emulating traffic flows associated with generative AI models and agentic applications, including large Elephant Flow datasets and PQC-encrypted traffic flows.

Keysight Technologies announced Keysight Eggplant Find by Description, a feature allowing automation engineers to locate interface elements by description rather than capturing and matching screenshots. Each test targets an element by its description rather than its visual appearance, enabling it to keep running through redesigns, theme changes, and resolution shifts. This removes the manual recapture work that has historically wasted engineering resources.

Half of organizations believe a chief test automation barrier is the upkeep of scripts that fail as applications change. Maintaining image-based scripts is a hidden cost, as they break when the interface shifts, even when the underlying software runs correctly. Engineers then spend hours recapturing screenshots for cases that should still pass, a cycle that repeats across every release and environment.

With Keysight Eggplant Find by Description, part of Eggplant Studio and Eggplant Functional, an engineer can describe an element, such as a ticket price for a given date, and the software locates it without reference to screenshots, document object model access, or changes to the system under test. In a Keysight demonstration, this reduced script volume by 92 percent and cut the task from over an hour to under 15 minutes. This extends Keysight Eggplant's use of AI and computer vision in test automation, which lets a description keep working as the design changes and applies across legacy desktop, embedded, and web applications.

Key Benefits

Gareth Smith, Software Quality Engineering General Manager, Keysight, said: "Our goal is to help teams automate more of their testing. However, for too long, the maintenance burden has held that back. Keysight Eggplant Find by Description clears one of the biggest barriers, moving us toward a future where teams automate what they want, not only what their tools allow."