SOC 3 - MixMode

Why Data Overload Happens and Why It Is a Problem for Cybersecurity Teams

Blog, Data Overload, Self-Supervised AI, SIEM, SOC / By Christian Wiens

Handling and managing data today has become unwieldy for IT teams on multiple fronts, but the security impact is especially troubling.

Why SIEM Has Failed the Cybersecurity Industry

Blog, Predictive AI, Self-Supervised AI, SIEM, SOC / By Ana Mezic

The time required for data processing, transition, aggregation, and the normalization does not allow real-time threat detection using today’s SIEM solutions. The only beneficiary of security through log aggregation is the SIEM vendor.

Whitepaper: The Data Overload Problem in Cybersecurity

Blog, Data Overload, Self-Supervised AI, SOC, Whitepaper / By Christian Wiens

The very nature of data is its infinite capacity for growth. For security teams at large, highly integrated and complex enterprises like financial services institutions, that growth can quickly become unwieldy when the approach is to store, normalize and prepare all of this data in order to extract value.

Magnify Podcast: Discussing the New Normal with AI Based Cybersecurity Specialists, MixMode

Blog, CISO, False Positives, MixMode News, Network Baselines, Network Security, Network Traffic Analysis, SOC / By Christian Wiens

Geoff Coulehan, MixMode’s Head of Strategic Alliances, joined Secrutiny’s “Magnify Podcast,” to discuss the priorities CISOs should focus on to better protect their now-remote team of employees.

Guide: How to Choose an AI-Based Cybersecurity Platform

Blog, Context-Aware AI, Network Security, Predictive AI, Self-Supervised AI, SOC, Unsupervised AI, Whitepaper / By Christian Wiens

Most cybersecurity vendors today tout some form of “Artificial Intelligence” as an underlying mechanism for the differentiation of their product among the market. But if everyone is saying they have AI, and everyone is also claiming theirs is the “best,” how can they all be telling the truth?

Webinar Recap: The Next-Generation AI Powered SOC Platform

MixMode News, Network Baselines, Network Detection and Response, Network Security, Network Traffic Analysis, Self-Supervised AI, SIEM, SOC, Threat Detection, Uncategorized / By Christian Wiens

One thing is clear: more spend does not equal more security and the next generation of cybersecurity tools will route out these inefficiencies.

Why The Future of Cybersecurity Needs Both Humans and AI Working Together

Blog, Context-Aware AI, Network Detection and Response, Network Security, Network Traffic Analysis, Predictive AI, Self-Supervised AI, SOC, Threat Detection, Unsupervised AI, Zero Day Attacks / By Ana Mezic

A recent WhiteHat Security survey revealed that more than 70 percent of respondents cited AI-based tools as contributing to more efficiency. More than 55 percent of mundane tasks have been replaced by AI, freeing up analysts for other departmental tasks.

The Problem with Relying on Log Data for Cybersecurity

Blog, Network Detection and Response, Network Traffic Analysis, Self-Supervised AI, SIEM, SOC / By Christian Wiens

One of the most prevalent issues impacting the effectiveness of security teams who use SIEM as their primary means of threat detection and remediation is the fact that data logs are an attractive medium for modern hackers to exploit.

Guide: The Next Generation SOC Tool Stack – The Convergence of SIEM, NDR and NTA

Blog, Network Detection and Response, Network Traffic Analysis, SIEM, SOC / By Christian Wiens

Traditional security vendors offering solutions like SIEM (Security Information and Event Management) are overpromising on analytics while also requiring massive spend on basic log storage, incremental analytics, maintenance costs, and supporting resources.

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