NETSCOUT's enhanced cyber intelligence with adaptive threat analytics

Discover NETSCOUT's Adaptive Threat Analytics, a vital addition to Omnis Cyber Intelligence to bolster threat detection and incident response capabilities.

  • Wednesday, 16th July 2025 Posted 9 months ago in by Aaron Sandhu

NETSCOUT SYSTEMS, INC. is making waves in the cybersecurity arena with its latest innovation, the Adaptive Threat Analytics. This cutting-edge enhancement to the Omnis Cyber Intelligence Network Detection and Response (NDR) solution is specifically crafted to elevate incident response capabilities and mitigate risks.

The pressing challenge faced by cybersecurity professionals is the relentless race against time to identify and tackle cyber threats before escalation. Issues like alert fatigue, an overwhelming volume of alerts, and the fragmented visibility from siloed tools compound this challenge. With the advent of adversaries leveraging AI, the need for an agile and effective response strategy has never been more critical. Even as McKinsey & Company highlights an improvement in response times, many organizations still require an average of 73 days to isolate an incident.

At the core of efficient threat detection and incident management lies comprehensive visibility across networks—a principle pivotal during the ‘Analyse’ phase between ‘Detection’ and ‘Response.’ By harnessing Adaptive Threat Analytics, there's a continuous capture and local storage of metadata and packets, independent of detection activities. The solution boasts built-in packet decodes and a flexible ad hoc querying system, allowing threat investigation and proactive threat hunting to proceed rapidly.

“Network environments continue to become more disparate and complex," said John Grady, principal analyst, cybersecurity, at Enterprise Strategy Group. "Bad actors exploit this broadened attack surface, making it difficult for security teams to respond quickly and accurately. 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.”

In addition, Omnis Cyber Intelligence offers dynamic AI-driven correlation, piecing together disparate events into coherent, high-fidelity incidents. This feature promises a comprehensive, actionable snapshot of the entire attack sequence. Its impressive scalability, cost-effectiveness, and seamless integration with systems like SIEM, SOAR, or XDR further enhance threat management capabilities across intricate IT infrastructures.

For security teams, possessing the specific knowledge crucial for an incisive response is often lacking. NETSCOUT's Adaptive Threat Analytics breaks down these barriers by offering a holistic view of data surrounding events, enabling an efficient transition from mere triage to informed action, crucially reducing the mean time to resolution.

AvePoint has introduced updates to its Confidence Platform, with a focus on AI data protection, multicloud resilience, and governance capabilities.
inforcer introduces Copilot Manager to support MSPs in delivering AI services, including features related to monitoring and managing Shadow AI usage.
Guardz outlines how AI is influencing cybersecurity, with the report highlighting identity-related issues and vulnerabilities affecting MSPs, based...

Kaseya launches Agentic IT management platform

Posted 1 day ago by Sophie Milburn
Kaseya has introduced an autonomous IT management system that uses AI and unified data to support IT operations and security management.
Westcon-Comstor has integrated its value-added services into the Microsoft Marketplace, aiming to support partner operations and improve scalability.
Pax8 teams up with NinjaOne, aiming to strengthen managed service providers through enhanced solutions and security infrastructure for SMBs.

Governing autonomous AI: challenges and solutions

Posted 1 day ago by Sophie Milburn
Exploring identity challenges with AI agents and governance opportunities for secure and scalable AI execution.

The risks of unsupervised AI adoption in UK enterprises

Posted 1 day ago by Sophie Milburn
As UK businesses increasingly adopt AI, risky data-sharing practices arise, underscoring the need for enhanced oversight and security measures.