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NETSCOUT SYSTEMS Launches Adaptive Threat Analytics
NETSCOUT SYSTEMS Launches Adaptive Threat Analytics

TECHx

time16-07-2025

  • 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.

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