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Telcos explore AI-driven NIaaS revenue opportunities

Sashi-Jeyaretnam

The Fundamentals of Private 5G Network Security Testing

Rethinking Testing CICD Without CT hero

Five superpowers active assurance grants to network operators  

The-CrowdStrike-Microsoft-Network-Outage

Sovereign AI 971x470

Key-Network-Test-Methodologies-That-Support-5G-RedCap-Success

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Pentesting Engineer 971x470

Jayanth-01

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Telecomunications tower for O-RAN

Security and automation lab testing

blog

Mike Jack

Overcoming-Challenges-in-U.S.-Government-Private-Network-Adoption-Strategies-for-Success

sc-Reza_Saadat

Automation Strategies to Avoid Finance’s Next Major Meltdown

Automation-Strategies-to-Avoid-Finances-Next-Major-Meltdown

Rich McNally

Sameer Dixit

Stephen Douglas

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Understanding-Application-Layer-DDoS-Attacks-1240x600

Managing Key Aspects hero

Automated-Security-Testing-for-Resilient-Enterprise-Networks-hero-1240x600

思博伦5G战略总监

安全解决方案产品营销高级经理

Senior Director of Mobile Service Strategy

Sr. Director of Product Management for Security Solutions

Sashi Jeyaretnam

Senior Marketing Manager

Patrick Barry

Patrick Barry of Spirent

高级技术营销工程师，应用与安全部

Reza Saadat

安全咨询副总裁

Senior Solutions Architect 

Jayanth Garapati

Author: Jayanth Garapati

The Enduring Importance of Pentesting 

Ensuring Network Security Efficacy Against DDoS Attacks

Managing Key Aspects of Technical Debt by Rethinking Validation

How Test and Assurance Empower Telecom’s Sovereign AI Success 

MWC Barcelona 2025: Pragmatism Along 5G’s Maturing Path to Growth

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

Building Resilient and Compliant Enterprise Networks with Automated Security Testing

新的测试方法探讨AI网络影响的利与弊

Key Network Test Methodologies That Support 5G RedCap Success

High Stakes Drive Emerging Network Resilience Needs

Ensuring Enterprise Operational Resiliency with Automated Security Testing: Driving Innovation and Minimizing Risk

Overcoming Challenges in U.S. Government Private Network Adoption: Strategies for Success

Security and Monetization Realities of Cloud and Edge Networks

从CrowdStrike/微软网络服务中断看强健CI/CD/CT流程的重要性

Understanding the DDoS Threat Landscape and Related Attack Scenarios 

Five Superpowers Active Assurance Grants to Network Operators  

Turning to New Open RAN Test Strategies as Rollouts Ramp Up 

Spirent testing strategy for-financial enterprises

Grid lines

Dell-Oro-Ethernet-vs-InfiniBand-in-AI-Networks-diagram-1200x628

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Aniket Khosla profile

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VP, Wireline Product Management

Aniket Khosla 

我们正处于几十年来高速以太网（HSE）最令人兴奋且影响最为深远的时期之一。新的年度影响力报告分享了塑造数据中心网络和高速以太网市场的最新趋势、需求和发展。

报告：追踪转型中的AI驱动高速以太网市场

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

Grid Lines

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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