Alert Reduction

The Alert Avalanche: Why Prioritizing Security Alerts is a Matter of Survival

One constant remains in the ever-evolving cybersecurity landscape: the barrage of security alerts. From firewalls to EDRs, security products diligently scan networks and systems, bombarding security teams with constant notifications of potential attacks. But what happens when the sheer volume of alerts becomes overwhelming? Enter the silent enemy—alert fatigue.

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eBook: The Inefficiencies of Legacy Tools – Why SIEMs Alone Are Ineffective At Detecting Advanced Attacks

Relying solely on legacy Security Information and Event Management (SIEM) technology is no longer sufficient to protect enterprise organizations from the rising amount of modern, ai-developed, sophisticated cyberattacks. In our newest eBook, we examine the limitations of SIEMs and emphasize the need for an AI-driven dynamic threat detection and response platform.

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The Cybersecurity Processes Most Vulnerable to Human Error

The world’s reliance on fast, reliable, secure networks has likely never been as apparent as it became in early 2020, when the world responded to the Coronavirus pandemic. Suddenly, vast swaths of the global workforce needed to access and send enormous stores of data from home. In some ways, it couldn’t have happened at a worse time.

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Our Top 5 Cybersecurity Insights from 2019

This year on the MixMode blog, we have covered headline stories, analyzed every pain point within network security, and shared what we believe to be some of the most innovative solutions to help you analyze network traffic, surface threats and anomalies, and stop attacks using autonomous AI.

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

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

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

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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How AI is Solving the False Positives Problem in Network Security

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

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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