Too Many Alerts: A National Security Threat?
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.
Unsupervised AI
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.
Whitepaper: Unsupervised AI – AI for Complex Network Security
Not only is artificial intelligence necessary for keeping up with the onslaught of lower-tech attacks, but also, AI is becoming crucial for defending against AI-powered cyberattacks, which are just on the horizon.
Why Unsupervised Machine Learning is the Future of Cybersecurity
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.
The Difference Between Artificial Intelligence and Machine Learning in Network Security
Artificial Intelligence (AI) and Machine Learning (ML) are often used interchangeably when discussing developments in deep learning. However, there is an important difference between the two that network security professionals will need to understand in order to serve their clientele effectively.
Unsupervised AI as a Service: Predictive Intelligence for Cybersecurity
The cybersecurity industry is in need of a massive shakeup. Rules-based software has created an exponential increase in false positive security alerts and zero-day threats are on the rise.
Anomaly Detection with Unsupervised AI in MixMode: Why Threat Intel Alone is Not Enough
In the face of intelligent cyber threats, the best defense is to supplement traditional methods with anomaly detection through unsupervised artificial intelligence (AI).
False Positives and Negatives: The Plague of Cybersecurity Software
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.
A third of experts predict cybersecurity won’t need human decision-makers within a decade: This Week in AI
Recent cybersecurity news, trends, and highlights and how artificial intelligence (AI) is transforming the industry.
How MixMode’s AI Builds Your Network’s Baseline
Mixmode’s platform utilizes third-wave, context-aware AI to inform the user of threats (including Zero-Day, and encrypted traffic) on their network, and reduces the rate of false positives in intel and alerts consistently by 90% or more.
Turning the Unsupervised Tables on the Turing Test
Unsupervised artificial intelligence, also known as context-aware or third-wave AI, is notoriously difficult to explain because there lacks an appropriate test to understand just how powerful the intelligence is. The widely known Turing Test for AI testing is no longer the right framework for modern-day AI testing.
69% Of IT Executives Say They Cannot Respond To Cybersecurity Threats Without AI: This Week in AI
Recent cybersecurity news, trends, and highlights and how artificial intelligence (AI) is transforming the industry.
Featured MixMode Client Success Story: HighCastle Cybersecurity
HighCastle used MixMode to provide insights to its Security Operations Center (SOC) analysts so they could better understand clients’ cyber risks, minimize time spent chasing false positives and spend the majority of their time responding to actionable information.
5 Ways AI is Making Cybersecurity Technology Better
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.
What are Zero-Day Attacks? And How AI is Being Used to Combat Them
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.
The Tech Stack Needed to Start an MSSP Practice: Firewall, SIEM, EDR and NDR
Why Managed Service Providers should consider focusing on cybersecurity and how to build the tech stack for your new MSSP practice.
The Endpoint Gap in Corporate Security
“The biggest misconception people have about endpoints is that they have an idea of what their endpoints really are. The security industry has rightly taught defense-in-depth & blocking. However, too many companies rely solely on that concept, and aren’t prepared for what happens when something is breached. That breach, when it happens, will take place …
5 Things to Know About the New PacketSled Platform
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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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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