Morgan Stanley upgrades Keysight Technologies to Overweight

0 min read     Updated on 13 Jul 2026, 06:58 PM
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Radhika SScanX News Team
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Morgan Stanley upgraded Keysight Technologies from Equal-Weight to Overweight, raising the price target to $400 from $350. The upgrade reflects a more positive outlook on the stock. Keysight shares closed at $322.05 on Friday.

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Morgan Stanley analyst Meta Marshall upgraded Keysight Technologies from Equal-Weight to Overweight, raising the price target to $400 from $350. The upgrade reflects a more positive outlook on the stock. Keysight shares closed at $322.05 on Friday.

Rating Change

Keysight Technologies received an upgrade from Equal-Weight to Overweight. The new rating indicates a stronger bullish stance from the firm.

Price Target Adjustment

The price target for Keysight Technologies was increased to $400, up from the previous target of $350.

Metric Previous New
Rating Equal-Weight Overweight
Price Target $350 $400

What specific market trends or catalysts drove Morgan Stanley's more positive outlook on Keysight Technologies?

How might this upgrade influence investor sentiment and trading volume in the short term?

What are the potential risks that could prevent Keysight from reaching the new $400 price target?

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Keysight launches APS-ONE-400 4x100GE cybersecurity test platform

2 min read     Updated on 09 Jul 2026, 10:55 PM
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Jubin VScanX News Team
AI Summary

Keysight Technologies, Inc. has launched the APS-ONE-400, a 4x100GE modular network cybersecurity test platform. It delivers 400 Gbps Layer 4-7 throughput and 380 Gbps encrypted TLS throughput in a 1RU footprint. The solution integrates with existing Keysight hardware to enable hyperscale testbeds for AI and data center workloads.

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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.

Metric Value
Layer 4-7 throughput 400 Gbps
Encrypted TLS throughput 380 Gbps
Elephant Flow throughput 95 Gbps
Form factor 1RU

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.

How will the integration of post-quantum cryptography (PQC) validation influence the timeline for enterprise adoption of quantum-resistant security protocols?

What impact will the ability to emulate generative AI traffic flows have on the design standards for next-generation data center hardware?

Could the 'pay-as-you-grow' model disrupt the traditional market for fixed-capacity network testing appliances by reducing initial capital expenditures?

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