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CISOs: Are You Applying NIST / CISA Standards to ALL Data Including the Cloud?

AI, Blog, CISO, Cloud Security, Cloudtrail, generative AI, Third-Wave AI / By

Security leaders want to solve problems identifying and understanding anomalies or account access behaviors by correlating anomalous behaviors of specific accounts with other parameters like geography or ingress and egress points, but few rules-based Cybersecurity tools have the ability to do that without a great deal of manual data massaging and manipulating.

CISOs: Are You Applying NIST / CISA Standards to ALL Data Including the Cloud? Read More →

MixMode Highlighted in Gartner's 2023 Hype Cycle for Network Detection and Response

MixMode Highlighted in Gartner® Hype Cycle™ for Security Operations 2023

Blog, Cybersecurity News, Gartner, MixMode News, Network Detection and Response, SOC / By

MixMode, a leading provider of network detection and response (NDR) solutions, has been highlighted as a key vendor in Gartner’s 2023 Hype Cycle for Network Detection and Response. This is a significant achievement for MixMode, as it recognizes the company’s innovative approach to NDR and its potential to help organizations protect themselves from cyberattacks.

MixMode Highlighted in Gartner® Hype Cycle™ for Security Operations 2023 Read More →

The 2 Questions Cybersecurity Clients Ask the Most When Seeking a Trustworthy Provider

Blog, Cybersecurity News, Data Overload, Network Detection and Response, SOC, Threat Detection / By

When businesses trust providers to address needs like cybersecurity, they are entrusting vital intellectual property, the private data of employees, consumers, and others, and often, the very infrastructure the business requires to operate.

The 2 Questions Cybersecurity Clients Ask the Most When Seeking a Trustworthy Provider Read More →

Video: Modernizing Phoenix’s Cybersecurity to Combat Nation-State Attacks

Blog, Case Study, CSO, Cyber Threats, Cybersecurity News, False Negatives, False Positives, MixMode News, Municipalities, SIEM, SOAR, SOC, Third-Wave AI, Threat Detection, Unsupervised AI, Use Case, Video / By

Shannon Lawson, CISO for the City of Phoenix, and Geoffrey Coulehan, Head of Sales for MixMode recently joined forces for a fireside chat at the Evanta CISO Summit in Phoenix, AZ. Lawson and Coulehan have been partnering together for almost three years to transform the City’s cybersecurity initiatives and Security Operations Center (SOC). 

Video: Modernizing Phoenix’s Cybersecurity to Combat Nation-State Attacks Read More →

451 Research Finds Self-Learning Technology to Address Cybersecurity Blind Spots and Reduce Analyst Burnout

Blog, Cyber Threats, Cybersecurity News, MixMode News, Network Detection and Response, Network Security, Predictive AI, Rules-Based Cybersecurity, Self-Supervised AI, SIEM, SOC, Third-Wave AI, Threat Detection, Uncategorized, Unsupervised AI, Zero Day Attacks / By

In the report, 451 Research explains why security analytics needs to include advanced Third-Wave AI, which autonomously learns normal behavior and adapts to constantly changing network environments, to address the next generation of cyberthreats and increase SOC productivity.

451 Research Finds Self-Learning Technology to Address Cybersecurity Blind Spots and Reduce Analyst Burnout Read More →

Case Study: How a Major U.S. City Rapidly Modernized Its Cybersecurity Defenses

Blog, Case Study, CISO, Cyber Threats, Network Security, Self-Supervised AI, SOC / By

In our newest case study, “How a Major U.S. City Rapidly Modernized Its Cybersecurity Defenses,” we share how the City cut its cyber tool footprint in half, gained visibility into advanced foreign adversary attacks, and greatly improved the productivity of its SOC staff.

Case Study: How a Major U.S. City Rapidly Modernized Its Cybersecurity Defenses Read More →

Webinar Recap: Why Your Legacy Cyber Platforms Can’t Defend Against Modern Day Attacks

Adversarial AI, Blog, Data Breach, Log Data, MixMode News, Network Baselines, Network Security, Ransomware, SIEM, SOC, Third-Wave AI, Threat Detection, Webinar / By

In partnership with Ravenii, our 60-minute talk was hosted by MixMode’s Head of Sales and Alliances, Geoff Coulehan, CEO of Ravenii, Jeff Shipley, and MixMode’s CTO & Chief Scientist, Igor Mezic. They discussed key topics including:

Webinar Recap: Why Your Legacy Cyber Platforms Can’t Defend Against Modern Day Attacks Read More →

New Video: MixMode Cyber Anomaly Detection Platform

Blog, CISO, Context-Aware AI, MixMode News, Network Detection and Response, Network Security, NTA, Predictive AI, Self-Supervised AI, SIEM, SOAR, SOC, Third-Wave AI, Threat Detection, UEBA, Video, Zero Day Attacks / By

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.

New Video: MixMode Cyber Anomaly Detection Platform Read More →

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

Blog, CISO, Context-Aware AI, Data Breach, Network Detection and Response, Network Security, Self-Supervised AI, SIEM, SOC, Third-Wave AI, Threat Detection, Zero Day Attacks / By

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.

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

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

Blog, Network Security, Self-Supervised AI, SIEM, SOC, Third-Wave AI / By

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.

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

The Aggregation Model is Falling Short

Blog, Log Data, SIEM, SOC, Third-Wave AI, Whitepaper / By

The following is an excerpt from our recent whitepaper, “Why Traditional Cybersecurity Tools Cannot Defend Against Zero-Day and No Signature Attacks,” in which we dive into how traditional cybersecurity tools work, why this fundamentally limits them from being able to detect zero-day or previously unknown attacks, why the industry standard for breach detection is around

The Aggregation Model is Falling Short Read More →

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

Blog, CISO, Network Baselines, Network Security, Predictive AI, Self-Supervised AI, SIEM, SOC, Unsupervised AI / By

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.

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

A Modern SOC Should Not Be Entirely Dependent On Human Operators and Their Personal Experience

Blog, False Positives, SIEM, SOC, Third-Wave AI, Zero Day Attacks / By

A modern SOC should not be entirely dependent on human operators and their personal experience. The issue has been a foundational problem with not only the methodologies used by SOCs for the past 15 to 20 years, but it should be questioned whether the problem is actually compounded by the technology itself.

A Modern SOC Should Not Be Entirely Dependent On Human Operators and Their Personal Experience Read More →

Maximize ROI with Greater Efficacy Using Unsupervised AI

Blog, Case Study, Data Storage Cost, Log Data, Network Security, SIEM, SOC, Unsupervised AI / By

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.

Maximize ROI with Greater Efficacy Using Unsupervised AI Read More →

2021: The Year SOCs Embrace Cybersecurity Convergence

Blog, Network Security, Predictive AI, SIEM, SOAR, SOC, Third-Wave AI, Threat Detection / By

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.

2021: The Year SOCs Embrace Cybersecurity Convergence Read More →