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Data Storage Cost

SANS First Look Report: Self-Supervised Learning Cybersecurity Platform for Threat Detection

Blog, Data Overload, Data Storage Cost, Self-Supervised AI / By

The SANS Institute recently released an analyst First Look Report on MixMode titled, “Self-Supervised Learning Cybersecurity Platform for Threat Detection.” Matt Bromiley, Senior Security Analyst at SANS and author of the report, explores the barriers SOCs face to conquering the vast amounts of data generated by modern enterprises and the solutions that MixMode provides for detecting and investigating threats including our utilization of self-supervised AI for cybersecurity.

SANS First Look Report: Self-Supervised Learning Cybersecurity Platform for Threat Detection Read More →

VIDEO: The Multiplying costs and challenges of Data Storage and Retention in Legacy Cybersecurity Platforms

Blog, Cybersecurity News, Data Storage Cost, MixMode News, Self-Supervised AI, Third-Wave AI, Video / By

MixMode’s Head of Sales and Alliances, Geoff Coulehan, discusses the data retention cost and challenges that arise when legacy cybersecurity platforms require historical data to be organized in a proprietary format for after-the-fact investigation processes.

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Cybersecurity Spend for Data Retention and Analysis is Out of Control and Largely Unnecessary

Blog, Data Storage Cost, Log Data, SIEM / By

Managing a relatively small, stable data store is one thing, but dynamic companies face immense challenges when those circumstances change. Data growth can become unwieldy to safeguard when it has to be carefully prepared through a series of time-consuming, manual processes before the security software can evaluate it.

Cybersecurity Spend for Data Retention and Analysis is Out of Control and Largely Unnecessary Read More →

Maximize ROI with Greater Efficacy Using Unsupervised AI

Blog, Case Study, Data Storage Cost, Log Data, Network Security, SIEM, SOC, Unsupervised AI / By

Within the first 24 hours after deployment, MixMode had enabled the government entity to regain control over the security environment and network data infrastructure. No longer limited to log data analysis, they were able to identify and address real-time threats as well as network and operational configuration challenges.

Maximize ROI with Greater Efficacy Using Unsupervised AI Read More →