MIxmode Blog

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

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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AI in Cybersecurity

5 Ways AI is Making Cybersecurity Technology Better

By Christian Wiens | August 20, 2019

From Network Detection and Response (NDR) to potentially helping to displace passwords as the user authentication standard, there are many reasons why AI is helping advance modern cybersecurity.

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Zero-Day Attacks

What are Zero-Day Attacks? And How AI is Being Used to Combat Them

By Russell Gray | August 14, 2019

Zero-day attacks are considered the number one cybersecurity threat to company networks large and small. Understand what they are, why it’s so hard to detect them, and how artificial intelligence (AI) is helping to solve this modern problem.

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The Tech Stack Needed to Start an MSSP Practice: Firewall, SIEM, EDR and NDR

By Ryan Merrill | August 1, 2019

Why Managed Service Providers should consider focusing on cybersecurity and how to build the tech stack for your new MSSP practice.

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5 Things to Know About the New PacketSled Platform

By Russell Gray | June 11, 2019

Since its commercial launch in 2015, the PacketSled platform was rooted in the Network Forensic and Incident Response space, garnering several awards and mentions for this capability1. In Q1 2019, PacketSled launched an all-new platform combining this forensic capability with artificial intelligence that is purpose-built for false positive alert suppression. We also changed our trade name to …

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5 Reasons Why Context-aware Artificial Intelligence (Caai) Is Needed in Cybersecurity

By Dr. Igor Mezic | April 23, 2019

5 reasons why Context-Aware Artificial Intelligence (CAAI) is needed in Cybersecurity CAAI delivers understanding of the network baseline and reducing false positives By Dr. Igor Mezic, CTO and Chief Scientist  Artificial Intelligence (AI) has surfaced as the technology of the day, in the same way internet, personal computers, airplanes and cars have in earlier eras. And, just like these others …

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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.