Latest news with #NETSCOUTSYSTEMS
TECHx
a day ago
- Business
- TECHx
NETSCOUT Reveals Energy-Efficient InfiniStreamNG Design
Home » Emerging technologies » Cyber Security » NETSCOUT Reveals Energy-Efficient InfiniStreamNG Design NETSCOUT SYSTEMS, INC. (NASDAQ: NTCT), a provider of observability, AIOps, cybersecurity, and DDoS protection solutions, announced improvements to its InfiniStreamNG platform that enhance energy efficiency and support IT sustainability. The company revealed that the intentionally efficient design and architecture of InfiniStreamNG reduces operational costs while improving sustainability outcomes. NETSCOUT reported that data center energy use is rising rapidly due to digital transformation and AI advancements. According to the International Energy Agency (IEA), global data center electricity use may more than double by 2030. U.S. data centers alone could consume more electricity than all energy-intensive industries combined. NETSCOUT's InfiniStreamNG and nGeniusONE solutions are built to deliver deep network visibility and analytics. Unlike multi-appliance systems, the InfiniStreamNG probe centralizes functionality, leading to a streamlined and energy-efficient setup. Key findings include:• A 23% average electricity reduction across 500+ InfiniStreamNG devices without compromising performance• Lower energy usage through reduced rack space and simplified deployments • Intelligent data processing that minimizes compute and storage needs Ray Jones, senior director of platform product management at NETSCOUT, said the company optimized the InfiniStreamNG platform to lower energy and operational costs while maintaining essential visibility in complex environments. The company also reaffirmed its commitment to sustainability. It has set science-based emissions reduction targets, aiming to cut absolute Scope 1 emissions by 57.4% and Scope 2 emissions by 42% by FY2030 from an FY2022 baseline. These targets have been validated by the Science-Based Targets initiative (SBTi). NETSCOUT stated that it is already making measurable progress or exceeding these environmental goals.
Business Wire
2 days ago
- Business
- Business Wire
NETSCOUT Delivers Double-Digit Energy Savings for Data Center Observability Solutions
WESTFORD, Mass.--(BUSINESS WIRE)--NETSCOUT SYSTEMS, INC. (NASDAQ: NTCT), a leading provider of observability, AIOps, cybersecurity, and DDoS attack protection solutions, today announced how the intentionally efficient design and architecture of its InfiniStreamNG solution also enables incremental advances in product energy efficiency, thus reducing operational costs and contributing to IT infrastructure sustainability. Data center energy consumption is escalating at an alarming rate, driven by digital transformation and advancements in artificial intelligence. According to a recent International Energy Agency (IEA) report, global data center electricity consumption is projected to more than double by 2030, including U.S. data centers consuming more electricity than for the production of aluminum, steel, cement, chemicals, and all other energy-intensive goods combined. NETSCOUT's nGeniusONE and InfiniStreamNG solutions are purpose-built to deliver comprehensive network visibility and analytics. Unlike multi-appliance architectures that require numerous components for different functionalities, NETSCOUT's approach centralizes capabilities within the InfiniStreamNG probe, leading to a more streamlined and energy-efficient deployment. Key benefits of this approach include: Quantifiable Energy and Cost Reductions: NETSCOUT's InfiniStream solution has demonstrated an average reduction in electricity consumption of 23% based on analysis of ten customers covering more than 500 InfiniStreamNG devices, with no trade-off in optimized performance. Reduced Rack Space and Simplified Deployments: InfiniStreamNG's consolidated architecture reduces the number of physical appliances. This smaller footprint not only saves valuable rack space but also substantially lowers energy consumption. Intelligent Data Processing: Data filtering capabilities enable organizations to collect and process data only from necessary protocols and ports, reducing required compute and storage resources, as well as overall energy usage. 'By applying our deep expertise in hardware technology, we've optimized the InfiniStreamNG platform to reduce complexity, lower energy and operational costs – while delivering the network visibility required to manage today's increasingly complex environments,' said Ray Jones, senior director, platform product management at NETSCOUT. "This capability is critical as organizations face mounting pressure to improve data center efficiency in response to explosive AI-driven growth." NETSCOUT's commitment to sustainability extends beyond product design to its own operations. The company has set science-based emissions reduction targets, committing to reduce absolute Scope 1 (direct emissions) greenhouse gas emissions by 57.4% and absolute Scope 2 (indirect emissions from electricity) greenhouse gas emissions by 42% by FY2030 from an FY2022 baseline. These targets have been validated by the Science-Based Targets initiative (SBTi), and NETSCOUT is already making measurable progress toward these goals or exceeding them. For more information about NETSCOUT's leading approach to sustainability by design, visit our website. About NETSCOUT NETSCOUT SYSTEMS, INC. (NASDAQ: NTCT) protects the connected world from cyberattacks and performance and availability disruptions through its unique visibility platform and solutions powered by its pioneering deep packet inspection at scale technology. NETSCOUT serves the world's largest enterprises, service providers, and public sector organizations. Learn more at or follow @NETSCOUT on LinkedIn, X, or Facebook. ©2025 NETSCOUT SYSTEMS, INC. All rights reserved. Third-party trademarks mentioned are the property of their respective owners.
Channel Post MEA
18-07-2025
- Business
- Channel Post MEA
NETSCOUT Adaptive Threat Analytics Enhances Incident Response
NETSCOUT SYSTEMS has announced Adaptive Threat Analytics, a new enhancement to its Omnis Cyber Intelligence Network Detection and Response (NDR) solution, designed to improve incident response and reduce risk. Adaptive Threat Analytics enables security teams to investigate, hunt, and respond to cyber threats more rapidly. Cybersecurity professionals face a challenge in the race against time to detect and respond appropriately to cyber threats before it is too late. Alert fatigue, increasing alert volume, fragmented visibility from siloed tools, and cunning AI-enabled adversaries create a compelling need for a faster and more effective response plan. McKinsey & Company noted last year that despite a decline in response time to cyber-related risks in recent years, organizations still take an average of 73 days to contain an incident. In the threat detection and incident response process, comprehensive north-south and east-west network visibility plays a critical role in all phases, but none more so than the 'Analyze' phase between 'Detection' and 'Response.' Adaptive Threat Analytics utilizes continuous network packet capture and local storage of metadata and packets independent of detections, built-in packet decodes, and a flexible ad hoc querying language, enabling more rapid threat investigation and proactive hunting. This provides SOC analysts with the specific knowledge needed to determine and execute the proper response more efficiently. 'Network environments continue to become more disparate and complex. Bad actors exploit this broadened attack surface, making it difficult for security teams to respond quickly and accurately,' said John Grady, principal analyst, cybersecurity, at Enterprise Strategy Group. Due to this, continuous, unified, packet-based visibility into north-south and east-west traffic has become essential for effective and efficient threat detection and incident response.' Omnis Cyber Intelligence's AI-driven correlation stitches disparate events into cohesive, high-fidelity incidents, providing a holistic, actionable view of the entire attack chain. It delivers superior scalability and cost-effective NDR capabilities across complex IT environments and easily integrates into your cybersecurity ecosystems, such as your SIEM, SOAR, or XDR. 'Security teams often lack the specific knowledge to understand exactly what happened to be able to choose the best response,' stated Jerry Mancini, senior director, Office of the CTO, NETSCOUT. 'Omnis Cyber Intelligence with Adaptive Threat Analytics provides 'big picture' data before, during, and after an event that helps teams and organizations move from triage uncertainty and tuning to specific knowledge essential for reducing the mean time to resolution.'
TECHx
16-07-2025
- Business
- TECHx
NETSCOUT SYSTEMS Launches Adaptive Threat Analytics
Home » Emerging technologies » Cyber Security » NETSCOUT SYSTEMS Launches Adaptive Threat Analytics NETSCOUT SYSTEMS, INC. (NASDAQ: NTCT), a provider of observability, AIOps, cybersecurity, and DDoS attack protection solutions, has announced the launch of Adaptive Threat Analytics. This new enhancement to its Omnis Cyber Intelligence Network Detection and Response (NDR) solution is designed to accelerate incident response and reduce organizational risk. Adaptive Threat Analytics enables security teams to detect, investigate, and respond to cyber threats more rapidly and effectively. The company revealed that cybersecurity professionals often struggle with alert fatigue, fragmented tools, and AI-enabled threats. These factors demand quicker, more accurate response mechanisms. According to McKinsey & Company, the average time to contain a cyber incident remains at 73 days, despite improvements in detection speed. NETSCOUT reported that Adaptive Threat Analytics supports the 'Analyze' phase in the detection-to-response workflow. It leverages continuous packet capture, local storage of metadata and packets, built-in packet decodes, and a flexible querying language. This helps SOC teams gain faster insights and actionable intelligence. John Grady, Principal Analyst for Cybersecurity at Enterprise Strategy Group, stated that growing complexity in network environments makes real-time, packet-based visibility essential. Key features include: Unified north-south and east-west traffic visibility AI-driven incident correlation and holistic attack chain views Seamless integration with SIEM, SOAR, and XDR platforms Jerry Mancini, Senior Director, Office of the CTO at NETSCOUT, emphasized that the new solution equips security teams with detailed, contextual data before, during, and after an event. This, he said, helps organizations reduce the mean time to resolution.
TECHx
14-07-2025
- Business
- TECHx
NETSCOUT Participates in TM Forum NeuroNOC Catalyst at DTW Ignite 2025
Home » Emerging technologies » Artificial Intelligence » NETSCOUT Advances AI Network Solutions at DTW Ignite 2025 NETSCOUT SYSTEMS, INC. (NASDAQ: NTCT), a provider in observability, AIOps, cybersecurity, and DDoS protection, announced its participation in TM Forum's NeuroNOC Catalyst project at DTW Ignite 2025. The event set records with the highest number of Communication Service Providers and countries represented. The NeuroNOC Catalyst project, a collaboration with Amazon Web Services, Accenture, Symphonica, and Sand Technologies, was supported by major carriers including BT Group, Telecom Argentina, Omantel, Turknet, Axian Telecom, and Safaricom. It explored how AI agents, closed-loop automation, and high-quality network data can enable self-healing operations in telecom networks. NETSCOUT deployed its Omnis AI Insights Solution, featuring Omnis AI Sensor and Omnis AI Streamer, to provide 5G Standalone Radio Access Network (SA RAN) and Packet Core telemetry. This solution uses deep packet inspection (DPI) for end-to-end network visibility and delivers analytics via an open API dataset. In simulated scenarios, the solution helped network operations center engineers quickly identify subscriber registration issues, find root causes with a curated large language model (LLM), and execute remediation with minimal manual effort. The project demonstrated: Up to 80% reduction in manual troubleshooting Up to 50% lower operational costs for communication providers Significant data and tokenization savings using AI models like AWS Bedrock Richard Fulwiler, Senior Director of Product Management at NETSCOUT and NeuroNOC participant, highlighted the importance of accurate, real-time curated data. He noted that quality packet collection is essential to correlate issues, verify fixes, and enable intelligent network operations. He added that while fully autonomous networks are in early development, the project shows strong potential for AI to improve network issue resolution. This initiative marks a significant step forward in AI-powered telecom operations and NETSCOUT's role in advancing network automation.
