MixMode
MixMode Case Study

How A Major U.S. City Rapidly Modernized Its Cybersecurity Defenses

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MixMode worked with the City’s cybersecurity team to deploy a next-generation SOC platform using Self-Learning Artificial Intelligence to enable real-time visibility into all threats and anomalies in their network, both known and novel (like zero-days), consolidate their legacy toolset, and improve the productivity of their SOC team.

Related Resources:


Self-Supervised Learning Cybersecurity Platform for Threat Detection
Self-Supervised Learning Cybersecurity Platform for Threat Detection
Why a Large Government Entity Replaced Their SIEM with MixMode
Why a Large Government Entity Replaced Their SIEM with MixMode
Self-Learning Technology to Address Cybersecurity Blind Spots and Reduce Analyst Burnout
Self-Learning Technology to Address Cybersecurity Blind Spots and Reduce Analyst Burnout
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Related Resources:


Self-Supervised Learning Cybersecurity Platform for Threat Detection
Self-Supervised Learning Cybersecurity Platform for Threat Detection
Why a Large Government Entity Replaced Their SIEM with MixMode
Why a Large Government Entity Replaced Their SIEM with MixMode
Self-Learning Technology to Address Cybersecurity Blind Spots and Reduce Analyst Burnout
Self-Learning Technology to Address Cybersecurity Blind Spots and Reduce Analyst Burnout