MIxmode Blog

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

Generative Unsupervised Learning vs. Discriminative Clustering Technology: Which Prevents Zero-Day Attacks?

By Ana Mezic | December 5, 2019

Knowing the difference between Discriminative and Generative Unsupervised Learning can tell you a lot about the effectiveness of a cybersecurity solution’s artificial intelligence, for example, whether or not that security solution can perform actions like identifying and stopping a zero-day attack.

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Multi-Stream Cybersecurity and How it Can Save Your Business from a Zero-Day Attack

By Ana Mezic | November 12, 2019

The best way to detect threats across an entire network in the quickest manner is to have complete visibility over every part of that network with a multi-stream platform which can incorporate not only network data, but Cloud Data and SIEM logs as well.

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Dynamic and Flexible AI for Network Security

By Christian Wiens | October 31, 2019

Third-Wave artificial intelligence (also known as Wave 3 AI), is making life a whole lot easier for security systems administrators. It seems like we just passed the milestones of incorporating AI into network security. But Dr. Igor Mezic and others in this field have made huge strides in the last year. In his new whitepaper on AI for Network Security, Dr. Mezic describes how Third-Wave AI brings flexibility and intuition into the world of machine learning.

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Weekly AI in Cybersecurity News

Why Autonomous AI is Needed in Cybersecurity

By Ana Mezic | October 25, 2019

Recent cybersecurity news, trends, and highlights and how artificial intelligence (AI) is transforming the industry.

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Top Security Pain Points Revealed: Building Baselines, Cloud, and Visibility Among Concerns

By Christian Wiens | October 22, 2019

Effective modern network security needs to defend against an unprecedented number of threats. Today’s SecOps teams face both rudimentary hacking attempts and highly sophisticated, targeted attacks that pose serious safety and security risks.

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E-Book: How Unsupervised Learning AI Will Solve ALL Major Roadblocks in the Cybersecurity Industry

By Ana Mezic | October 16, 2019

Security experts and researchers are harnessing AI and ML to create products and solutions for an industry faced with rising and highly intelligent cybercrime and legacy stacks that leave advanced breaches undetected.

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4 Ways to Protect Your Business from Zero-Day Attacks

By Christian Wiens | October 3, 2019

Zero-day attacks cost businesses millions of dollars in lost revenue and recovery costs and can cripple a company that is not prepared to respond decisively and effectively.

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Why Unsupervised Machine Learning is the Future of Cybersecurity

By Ana Mezic | October 1, 2019

Not all Artificial Intelligence is created equal. As we move towards a future where we lean on cybersecurity much more in our daily lives, it’s important to be aware of the differences in the types of AI being used for network security.

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Anomaly Detection with Unsupervised AI in MixMode: Why Threat Intel Alone is Not Enough

By Russell Gray | September 18, 2019

In the face of intelligent cyber threats, the best defense is to supplement traditional methods with anomaly detection through unsupervised artificial intelligence (AI).

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6 Best Practices for Network Security in 2019

By Ryan Merrill | August 22, 2019

Top cybersecurity best practices for modern organizations’ network security, data protection, and bottom line safeguarding.

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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.