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The Fundamentals of Private 5G Network Security Testing

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The Enduring Importance of Pentesting 

Rethinking Testing: You Can’t Have CI/CD Without CT

High Stakes Drive Emerging Network Resilience Needs

Five Superpowers Active Assurance Grants to Network Operators  

Turning to New Open RAN Test Strategies as Rollouts Ramp Up 

The Rising Need for 5G Test Lab Power Conservation Solutions

Spirent’s 2024 5G Report: 5G Standalone Unleashed

Will money grow on 5G trees in 2024?

Holistic Testing Strategies for Private 5G Networks

What Lurks Around the Corner for Telecom Network Security?

How Gaming Provides a Glimpse of Future Network Capabilities

MWC Las Vegas 2023: Insights on the Evolving 5G Market

The Case for Private Network SLAs: A Real-World View

Automated Testing: Revolutionizing Network Modernization

Don’t Wait to Automate: How Networks Are Becoming Faster and Smarter on the Journey to AI

The Essentials of Advanced 5G Fixed Wireless Access and Wi-Fi Testing

MWC Shanghai: Updates from the World’s Most Advanced 5G Market

Spirent Supports DISH Wireless to Test its First-of-its-Kind 5G Network

Introduction to Private Networking

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Automation Strategies to Avoid Finance’s Next Major Meltdown

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Aniket Khosla 

우리는 수십 년 만에 고속 이더넷(HSE)에 있어 가장 흥미롭고 중요한 순간을 맞이하고 있습니다. 이번 최신 연간 영향 보고서는 데이터 센터 네트워킹과 HSE 시장을 형성하는 최신 트렌드, 수요 및 개발 사항을 공유합니다.

Blog shares highlights from a new annual impact report with insights on the latest trends, drivers and developments shaping the data center networking and high-speed Ethernet market, offering direction on where the market stands today and what comes next.

보고서: AI 기반 고속 이더넷 시장 변화 추적

Telecom is eager to explore every aspect of AI-powered innovation and transformation. Stakeholders are seeking a competitive edge, new revenues, more efficient network operations, and reduced costs.

Status check on how AI is powering network testing and assurance. Learn about testing’s role across the AI lifecycle, and the path appearing toward AI autonomous networking. 

How AI Is Powering Network Testing and Assurance

Status Check: The Latest on How AI Is Powering Network Testing and Assurance

AI and automation are already reducing RAN energy consumption and providing partial autonomy for network operations. Even bigger impacts are on the horizon.

Early Telecom AI Progress Points to Real Results 

Early Telecom AI Progress Points to Real Performance Results 

The rapid evolving growth of AI is impacting hyperscaler data centers, as high volumes of traffic and intensive processing requirements push the limits of current networks. Data center architectures and the high-speed networks they rely on must be reevaluated, along with their testing strategies, to ensure reliable performance now and into the future.

The rapid growth of AI is impacting data center architectures and the high-speed networks they rely on They must be reevaluated, along with the testing strategies to ensure reliable performance into the future.

The Challenge of Evolving AI Workloads in Data Centers 

Large enterprises face challenges related to complexity, cost, productivity, and regulatory compliance. Many recognize the critical need to modernize their test labs to automate manual processes, incorporate historical analysis, and facilitate regression testing. The latest transformation strategies provide opportunities to streamline operations, reducing lab testing timelines from months to hours

Large enterprises face challenges related to complexity, cost, productivity, and regulatory compliance.

How Modern Test Labs Cut Cost and Complexity

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AI is transforming data centers, driving demand for high-speed Ethernet and scalable infrastructure. This blog explores how operators are adopting 800G Ethernet and sustainable practices to meet AI’s intensive requirements. Learn why efficiency and resource optimization are essential for monetizing AI infrastructure investments.

AI is transforming data centers, driving demand for high-speed Ethernet and scalable infrastructure. This blog explores how operators are adopting 800G Ethernet and sustainable practices to meet AI’s intensive requirements. 

AI Data Center Testing Emerges as Top Priority

Look Before You Leap: AI Data Center Testing Emerges as Top Priority

Financial institutions rely on their digital infrastructure for conducting financial transactions and providing services to their customers; it's important to ensure their networks are secure, reliable, and perform as planned to their specific needs.

Validating Network Security and Performance for Financial Institutions

Financial enterprises are pushed to test more complex systems, faster than ever, while facing multiple regulatory compliance requirements that must be fulfilled multiple times per year. For many, their current state of testing simply can’t keep up. To address these challenges, a test lab modernization and automation strategy is key to addressing objectives and requirements in the financial sector.

A test lab modernization and automation strategy is key to addressing complex objectives and requirements in the financial sector.

Test Lab Modernization Trends for Financial Enterprises

In the dynamic realm of data centers, AI is setting new benchmarks. A discussion with Aniket Khosla, VP of Wireline Product Management at Spirent, highlighted how AI is revolutionizing data center networking.

AI’s Transformative Impact on Data Center Networking

Innovative testing approaches in preparation for the AI revolution

The growing number of regulatory compliance requirements mandate BFSI institutions conduct annual – some biannual – operational resilience testing to ensure ICT systems can withstand cyberattacks and disruptions. Traditional manual testing can’t do the job anymore.

The growing number of regulatory compliance requirements mandate BFSI institutions conduct annual – some biannual – operational resilience testing to ensure ICT systems can withstand cyberattacks and disruptions. 

Automation Strategies to Avoid Finance’s Major Meltdown

Test, assurance, and automation thought leadership from our in-house experts.

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