MIxmode Blog

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

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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Our Top 3 Insights on Alert Fatigue in Cybersecurity

By Christian Wiens | November 7, 2019

Alert fatigue is a top pain point in cybersecurity right now. Security operations center (SOC) analysts are chasing an overwhelming amount of false positive alerts taking time away from analyzing and remediating actual security threats. According to a recent study…

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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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Too Many Alerts: A National Security Threat?

By John Keister, CEO | October 17, 2019

No one really wants to talk about the fact that most security products are rules-based systems that may check a box for compliance but do not deliver intelligent, actionable data.

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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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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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False Positives and Negatives: The Plague of Cybersecurity Software

By Christian Wiens | September 11, 2019

Whether your network analysts are spending too much time on false positives or neglecting to recognize false negatives, when actual cyber threats go unnoticed, fear not. Here are 4 ways to combat false positives and negatives in your network security program.

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How AI is Solving the False Positives Problem in Network Security

By Ana Mezic | April 30, 2019

How AI is Solving the False Positives Problem in Network Security By Ana Mezic, Marketing Coordinator at MixMode The term “False Positives” is trending in the cybersecurity industry right now. Rightfully so. Managing the impossible amount of alerts IT teams get from their cybersecurity software is an issue that demands a solution as hackers and gatekeepers play tug-of-war …

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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.