MIxmode Blog

The latest stories on Cybersecurity, AI, and everything in between from MixMode

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

By Christian Wiens | June 30, 2020

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

By Christian Wiens | June 4, 2020

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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Encryption = Privacy ≠ Security

By Russell Gray | June 2, 2020

For the past few years, many have been talking about the changing “threat landscape” as it pertains to the increase in zero day, insider and phishing threats. While all of these threats are on the rise, and constitute a concern, there is, perhaps, an even larger shift presenting a threat to enterprises – the shift …

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How a Massive Shift to Working From Home Leaves an Enterprise’s Cybersecurity Vulnerable

By Ana Mezic | March 31, 2020

Many companies are scrambling to find a way to better protect their now-remote team of employees, and as they do so, hackers will take every advantage to find the weaknesses in these spread-out company networks.

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

By Christian Wiens | March 10, 2020

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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A Well-Equipped Security Team Could Save You Millions of Dollars a Year

By Christian Wiens | February 11, 2020

Data breaches are expensive. By now, most organizations are well aware of this fact. When it comes to resource planning, however, SecOps teams need concrete data to ensure adequate funding is available to handle a breach.

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Network Data: The Best Source for Actionable Data in Cybersecurity

By Russell Gray | February 6, 2020

With the right tool, your network data can now provide you with most valuable, actionable alerts in your security stack. What follows is a discussion of some of the reasons why you may want to look to your network first when trying to identify potential threats or attacks.

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3 Cyberthreats Facing Federal and State Governments in 2020

By Christian Wiens | January 30, 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.

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Staying CCPA Compliant with MixMode’s Unsupervised AI

By Ana Mezic | January 21, 2020

Companies are expected to spend up to $55 billion dollars on efforts to comply with the California Consumer Privacy Act (CCPA), which is still working out its final rules after going into effect this month.

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5 Cybersecurity Threats That Will Dominate 2020

By Christian Wiens | January 16, 2020

At MixMode, we can’t help but imagine the flip side of all that potential. An increasingly connected cyber landscape means an increased number of potential targets for bad actors. New tech is exciting, but it’s often inherently vulnerable to cyberattacks.

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About MixMode

MixMode is the first to bring a third-wave, context-aware AI approach that automatically learns and adapts to dynamically changing environments. MixMode’s monitoring platform, PacketSled, better understands network behavior as it adapts to baseline changes and enables both misuse detection and anomaly detection, as well as predictive maintenance. Used by enterprises and MSSPs for real-time network analysis, threat hunting and incident response, the platform leverages continuous stream monitoring and retrospection to provide network forensics and security analytics. Security teams can integrate PacketSled into their orchestration engine, SIEM, or use PacketSled independently to dramatically reduce false positive alerts and the resources required to respond to persistent threats, malware, insider attacks and nation state espionage efforts.

The company has been named an innovator in leading publications and by security analysts, including SC Magazine, earning a finalist award in 2018 and 2019 for "Best Computer Forensic Solution.” Based in Santa Barbara, with offices in San Diego, the company is backed by Keshif Ventures and Blu Venture Investors. For case studies, continuous product updates and industry news, please visit us at www.mixmode.ai.