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.
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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.
What is Network Traffic Analysis? A Beginners Guide
Network Traffic Analysis (NTA) is one of these newer advancements in cybersecurity. NTA allows the analysis of network traffic (hence the name) at a granular, packet-by-packet level.
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.
MixMode 6.1.8 Investigator – Massive Data, Optimum Performance
When revisiting Mixmode API eliminating data over-fetching was one of the key areas that we focused on for our 6.1.8 release.
4 Ways to Protect Your Business from Zero-Day Attacks
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.
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).
Improvements to MixMode’s PQL: Packetsled Query Language
Packetsled Query Language (PQL) addresses the need of analysts to ask questions from large amounts of data without being forced to learn a complicated query language. It is a simple, intuitive expression language that lets users focus on finding what they need quickly.
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.
Self-Driving Cars at Risk for Cybersecurity Breaches: This week in AI
Recent cybersecurity news, trends, and highlights and how artificial intelligence (AI) is transforming the industry.
6 Best Practices for Network Security in 2019
Top cybersecurity best practices for modern organizations’ network security, data protection, and bottom line safeguarding.
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.