NETSCOUT Expands Automated Threat Detection and Response Capabilities
Adaptive Threat Analytics Provides the Essential Knowledge to Accelerate Cybersecurity Responses
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.
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
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
Visit our website to learn more about how NETSCOUT’s Adaptive Threat Analytics is accelerating incident response with faster analyses and investigations.
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