MIxmode Blog

MixMode Product Updates, Stories on Cybersecurity, AI, and Everything in Between.

Featured Content

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

In our latest MixMode Guide we discuss the convergence of legacy network security tools and explore how security teams can upgrade their SOC with the next generation of cybersecurity tools.

Redefining the Definition of “Baseline” in Cybersecurity

While many security solution providers promise to protect your network by establishing a baseline of your network behavior, the definition of “baseline” can vary widely.

Network Data: The Best Source for Actionable Data in Cybersecurity

With the right tool, your network data can now provide you with most valuable, actionable alerts in your security stack.


MixMode CTO Responds to Self-Supervised AI Hopes

By Ana Mezic | June 23, 2020

Yann LeCun and Yoshua Bengio were recently interviewed by VentureBeat Magazine on the topics of self-supervised learning and human-level intelligence for AI. Our CTO Dr. Igor Mezic sat down with our team to discuss some of the most interesting pieces of the LeCun article, and offer a potential solution to a search for truly self-supervised …

MixMode CTO Responds to Self-Supervised AI Hopes Read More →

Read More

Why Training Matters – And How Adversarial AI Takes Advantage of It

By Christian Wiens | June 18, 2020

The following is an excerpt from our recently published whitepaper, “Self-Supervised Learning – AI for Complex Network Security.” The author, Dr. Peter Stephenson, is a cybersecurity and digital forensics expert having practiced in the security, forensics and digital investigation fields for over 55 years.  Section 4 – Why Training Matters – And How The Adversary …

Why Training Matters – And How Adversarial AI Takes Advantage of It Read More →

Read More

New Video: How is MixMode Different From Today’s Network Security Tools?

By Christian Wiens | June 16, 2020

With MixMode in the center of a program, we will make all the other security investments that you’ve made, better. So when you send data to your SIEM, when you send data to your SOAR, you don’t want those products to be overwhelmed with false positive alerts, with data you don’t need.

Read More

Machine Learning, Deep Learning and Neural Networks, Oh My!

By Christian Wiens | June 11, 2020

Deep learning makes decisions based upon the data it sees and the data that it doesn’t see but infers from what it does see. This became useful in the AV industry when the adversary introduced polymorphic viruses. These are viruses that change their appearance on the fly and not always in the same way.

Read More

4 Challenges of Stand-Alone SIEM Platforms

By Christian Wiens | June 9, 2020

While SIEM is undoubtedly a step up from unmonitored network environments, the inherent nature of today’s SIEM software often falls short in several important ways. SIEM is an outdated solution for adequately protecting networks within the modern threatscape.

Read More

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 …

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

Read More

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 …

Encryption = Privacy ≠ Security Read More →

Read More

Self-Supervised Learning – The Third-Wave in Cybersecurity AI

By Ana Mezic | May 28, 2020

The relationship between modern cybersecurity solutions and AI has become inextricable. The unfortunate reality is that even the most talented and responsive SecOps teams are unable to manually catch every threat posed to the sprawling, hybrid networks on which today’s organizations rely. Forward-looking organizations know they need to bring AI and machine learning based security …

Self-Supervised Learning – The Third-Wave in Cybersecurity AI Read More →

Read More

How the Role of the Modern Security Analyst is Changing

By Christian Wiens | May 26, 2020

As organizations began to rely more heavily on networking to carry out their operations over the past decade, IT teams added security analyst positions. These professionals focused on network security and providing regulatory compliance oversight.  Over time, the role of the security analyst has expanded to include threat hunting tasks. That is, evaluating security platform …

How the Role of the Modern Security Analyst is Changing Read More →

Read More

One Thing All Cybersecurity teams Should Have During COVID-19

By Ana Mezic | May 21, 2020

COVID-19 has caused most corporate businesses that remain open to shift to a work from home, remote workplace. Because of this, the cybersecurity industry has been turned on its head. Security teams went from monitoring and protecting established network environments to quickly pivoting their tools, resources, and oversight to manage a distributed workforce. This has …

One Thing All Cybersecurity teams Should Have During COVID-19 Read More →

Read More

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.