Network Security Blogs

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

New Video: MixMode Cyber Anomaly Detection Platform

By Christian Wiens | May 19, 2021

We recently released a new video to better explain how MixMode’s next-generation cybersecurity anomaly detection platform combines the functionality of SIEM, NDR, NTA and UEBA for advanced threat detection, zero day attack identification, false positive alert reduction, forensic investigation and more.

Read More

The Top 5 Considerations That Should Guide Your SOC Strategy in 2021 and Beyond

By Christian Wiens | May 11, 2021

It’s evident that while organizations are spending more and more on legacy cybersecurity solutions, these platforms are not holding up their end of the deal and are not able to proactively defend in a modern, non-signature attack threatscape.

Read More

Third-wave AI has Proven More Effective than Traditional Cybersecurity Platforms and Methodologies

By Geoffrey Coulehan | May 4, 2021

Unfortunately, the majority of cybersecurity solutions available today rely on outdated applications for AI. So-called first- and second-wave AI solutions don’t cut it, but few vendors have the technical capabilities and know-how to apply cutting edge, third-wave AI to their platforms.

Read More

SIEM Cannot Detect (and Ignores) Zero-Day Attacks

By Christian Wiens | April 29, 2021

Organizations are exclusively depending on selective information forwarded to the SIEM. The information that inevitably exists outside the system of record — information relevant for zero-day attacks — is ignored.

Read More

Incremental Stacking of Correlative Analysis Platforms Will Ultimately Prove Ineffective and Costly

By Geoffrey Coulehan | April 8, 2021

On the surface, an “incremental stacking” approach to correlative analysis platforms like SIEM, XDR and UEBA is logical. Organizations can overcome some of the inherent limitations present in their security solutions by adding a network traffic analysis (NTA), for example. Industry analysts have been touting this approach for some time now as necessary for full coverage enterprise security.

Read More

Maximize ROI with Greater Efficacy Using Unsupervised AI

By Christian Wiens | March 18, 2021

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.

Read More

How Self-Supervised AI Tackles Ambiguity in Network Security

By Geoffrey Coulehan | March 16, 2021

Cybersecurity vendors promise the moon when it comes to AI. As the recent TechRepublic article, “Why cybersecurity tools fail when it comes to ambiguity,” makes clear, often, these promises fail short in real world network environments.

Read More

Performing Critical Cyber Diligence for Mergers and Acquisitions Using MixMode

By Christian Wiens | March 11, 2021

According to a recent M&A trends survey conducted by Deloitte, 51 percent of 1,000 Executives responsible for Mergers and Acquisitions (M&A) at U.S. companies and private-equity investor firms listed cybersecurity threats as their top concern in executing deals virtually.

Read More

The Fourth Industrial Revolution – AI, Quantum, and IoT Impacts on Cybersecurity

By Geoffrey Coulehan | February 17, 2021

The next cybersecurity challenge lies with the advances in quantum computing that are set to revolutionize tech while simultaneously equipping threat actors with a new arsenal of cyberweapons.

Read More

2021: The Year SOCs Embrace Cybersecurity Convergence

By Christian Wiens | February 4, 2021

Staying on top of cybersecurity risk can feel like a losing battle in today’s modern, hyperconnected reality. The influx of IoT devices and increased reliance of BYOD devices has created a diverse, complex threatscape rife with overlapping vulnerabilities across physical and cyber assets.

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.