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This article is part of Enterprise Security Magazine series featuring expert contributions nominated by our subscribers and reviewed by our editorial team.

MixMode: Revolutionizing Cybersecurity with Advanced AI

John Keister, Founder, Chairman and CEO, MixMode

AI Security Visionary

Editor’s Note: Security leaders need more adaptive defenses as conventional rule-based tools struggle to recognize novel attacks and escalating alert volumes. This perspective offers Enterprise Security Magazine readers a timely view of how advanced AI can sharpen threat detection, prioritize risk and help security teams respond with greater speed and precision.

As cyber threats grow increasingly sophisticated, organizations face unprecedented cybersecurity challenges. Traditional approaches to security are increasingly inadequate in the light of today’s sophisticated threats and changing technology paradigms.

Today’s enterprise faces the complexity of advanced techniques including AI-generated and zero-day exploits, an expanding attack surface, IOT vulnerabilities, nation-state actors, insider threats, and a ransomware epidemic. Yet, organizations still rely on traditional security approaches that are reactive in nature, manual, and rigid. These built-in limitations (like writing infinite rules) in legacy systems leaves security teams with the impossible task of seeing and manually hunting for these new attacks.

A revolutionary approach is needed.

Unlike traditional security measures that struggle to keep pace with modern attacks, MixMode’s Advanced AI-driven Platform significantly enhances cybersecurity capabilities and resilience against evolving threats, addressing the shortcomings of traditional security approaches. Where rules-based systems rely on predefined signatures and patterns, MixMode’s Advanced AI, defined by DARPA as Third-Wave AI, is built on the ability to understand the normal behavior of a network and constantly evolve as the network changes – without human intervention. More specifically, MixMode’s advanced AI constantly adapts itself to the specific dynamics of an individual network rather than using the rigid legacy ML models typically found in other cybersecurity solutions, avoiding any bias or blind spots.

MixMode’s advanced AI is capable of analyzing vast amounts of data in real-time, utilizing self-supervised learning to understand an organization's environment and behavior to continually forecast what’s expected to happen next. If a detection deviates from expected behavior, the MixMode Platform will highlight these events for further investigation. This also enables MixMode to alert on the absence of expected events, empowering security teams to detect even the most elusive anomalies that may indicate a potential threat, which other solutions can't do. The platform can be on-boarded in minutes, starts learning immediately, and delivers tangible results in days.

“MixMode’s is Revolutionizing Cybersecurity Through Advanced AI to Detect Both Known and Novel Attacks Missed by Traditional Security Solutions to Meet the Demands of Our Increasingly Complex Digital Landscape.”

The result is a revolutionary approach to cybersecurity, offering comprehensive visibility of anomalous behavior across any data stream to detect both known and novel attacks in real-time. With the MixMode Platform, security teams can detect, analyze, and prioritize all threats, both known and novel, without the dependency on rules, signatures or threat feed updates to ultimately detect and respond to what other legacy solutions miss. 

In the end, most security teams today feel like the dog chasing the bumper. They will never catch the car, or in this case, the novel attacks that slip through the rules every team relies on. MixMode is here to help. MixMode’s platform is built to prioritize both known and novel attacks, filling a critical gap. MixMode’s patented self-supervised advanced AI breaks free from the limitations of traditional systems. It requires no pre-configured rules or human intervention – it learns and adapts on its own. This frees up security teams to do less writing of rules and more strategic investigations of the most important threats. This dynamic learning approach ensures continuous adaptation to an organization's unique environment, leading to many of our customers’ security teams seeing a 10x improvement in productivity.


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The articles from these contributors are based on their personal expertise and viewpoints, and do not necessarily reflect the opinions of their employers or affiliated organizations.