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MixMode’s use cases for your cyber initiatives
How customers in different industries utilize MixMode
Combating alert fatigue is a huge challenge faced by SOC analysts and security companies alike. The overwhelming flood of rules-based alerts and notifications can often lead to missed critical incidents and increased false positives.
Relying solely on legacy Security Information and Event Management (SIEM) technology is no longer sufficient to protect enterprise organizations from the rising amount of modern, ai-developed, sophisticated cyberattacks. In our newest eBook, we examine the limitations of SIEMs and emphasize the need for an AI-driven dynamic threat detection and response platform.
An enterprise’s inability to detect cyber attacks has tangible effects on its productivity and profitability. Various reports have noted a correlation between the time it takes to spot an intrusion and the cost of recovery.
This year on the MixMode blog, we have covered headline stories, analyzed every pain point within network security, and shared what we believe to be some of the most innovative solutions to help you analyze network traffic, surface threats and anomalies, and stop attacks using autonomous AI.
HighCastle used MixMode to provide insights to its Security Operations Center (SOC) analysts so they could better understand clients’ cyber risks, minimize time spent chasing false positives and spend the majority of their time responding to actionable information.
850 senior executives from Information Security, Cybersecurity, and IT Operations in seven industries across ten countries were recently surveyed by consulting and technology services firm, Capgemini, in their “Reinventing Cybersecurity with Artificial Intelligence” report. The goal being to understand today’s benefits, complexities, and levels of implementation of AI in cybersecurity across IT (information technology), OT (operation …
AI-Enabled Cybersecurity Is Necessary for Defense: Capgemini Report Read More →