Network Security

Whitepaper: Self-Supervised Learning – AI For Complex Network Security

Artificial Intelligence – or AI – has become a buzzword since it emerged in the 1950s. However, all AI systems are not created equal. In our white paper, “Self-Supervised Learning – AI For Complex Network Security,” Dr. Peter Stephenson explains the different “waves” of artificial intelligence. He uses the DARPA definitions for each of these …

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New Whitepaper: How Predictive AI is Disrupting the Cybersecurity Industry

Our newest whitepaper, “How Predictive AI is Disrupting the Cybersecurity Industry,” evaluates several common SecOps issues around Network Traffic Analysis, explaining why typical solutions are wholly ineffective and represent sunk costs versus added value. We examine how self-supervised learning AI is poised to overcome the SecOps challenges of protecting today’s distributed networks.

What the Clearview AI Breach Tells Us About Cybersecurity Today

The 2020 Clearview AI data breach spawned hundreds of attention-grabbing headlines, and for good reason. The company works closely with law enforcement agencies and other entities by sharing personal information about millions of people, for a variety of purposes. The breach raised many questions about the vulnerability of personal data in general.

The Big Switch: A Lack of Employable Security Professionals Causes Companies to Make the Switch to AI

For the past few years, a major problem has been mounting in the cybersecurity industry: a people shortage. Even before the outbreak of the current global pandemic, enterprises were hurting in the cybersecurity hiring department.  Companies are struggling to find employable cybersecurity professionals to handle an ever increasing and evolving number of new threats from …

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Whitepaper: Actionable Anomalies – How MixMode AI Makes Your Security Data Smarter

In today’s ever evolving cybersecurity landscape there are major problems facing professionals that continue to worsen. These problems center around a shortage of tools advanced enough to understand the baseline of a network in order to pinpoint anomalies and a massive information overload problem in the form of security alerts.

New Video: Why is network data the best source for actionable data in cybersecurity?

In a recent blog post, our Head of Customer Success, Russell Gray, outlined the reasons why network data is the best source for actionable data in cybersecurity. He covered the limitations of each of the elements of a typical security stack (SIEM, Endpoint, and Firewall) and the importance of network traffic analysis (NTA) in the …

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3 Cyberthreats Facing Federal and State Governments in 2020

Bad actors do not discriminate. Organizations across all sectors are at risk — corporations, non-profits, and increasingly, federal and state government entities. The U.S. Government Accountability Office (GAO) reported that security incidents increased by 1,300 percent from 2006 to 2015. This number is growing.

Wire Data: What is it Good For?

Today’s security and IT teams are increasingly relying on wire data to better secure their networks. A recent report conducted by network performance and security monitoring vendor VIAVI revealed that more network teams than ever consider wire data the most important data source when confronting security incidents.

Our Top 5 Cybersecurity Insights from 2019

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.