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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.
The Difference Between Artificial Intelligence and Machine Learning in Network Security Read More →
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.
Unsupervised AI as a Service: Predictive Intelligence for Cybersecurity Read More →
In the face of intelligent cyber threats, the best defense is to supplement traditional methods with anomaly detection through unsupervised artificial intelligence (AI).
Anomaly Detection with Unsupervised AI in MixMode: Why Threat Intel Alone is Not Enough Read More →
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.
How MixMode’s AI Builds Your Network’s Baseline Read More →
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.
Turning the Unsupervised Tables on the Turing Test Read More →
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.
5 Ways AI is Making Cybersecurity Technology Better Read More →
Here’s Why It’s Time To Prepare for AI Wielding Hackers “The war against cyber attackers isn’t a fair battle. Companies have to defend against all attacks, while the attackers only have to get through once. And it’s about to get much, much worse,” writes Marie Korolov for Data Center Knowledge, effectively explaining the biggest roadblock for
Hackers are Starting to Use AI: This Week In AI Read More →
What’s the difference between ML and AI in Cybersecurity? Many don’t understand how AI works in terms of cybersecurity, despite most agreeing that it is necessary to implement it going forward. According to a recent survey by Webroot, nearly 75 percent of IT professionals stated they intend to incorporate more artificial intelligence (AI) solutions into their cybersecurity
Machine Learning vs Artificial Intelligence: This Week in AI Read More →
Artificial Intelligence is Fundamental to the Future of Cybersecurity According to a 2019 SME Cyber Security Report by Senseon, eighty-one percent of small and medium-sized enterprises (SME) think Artificial Intelligence (AI) is crucial to the state and future of cybersecurity. Key findings in the report include: 88% of SMEs have a dedicated security budget 53% think an
Do we need AI in CYbersecurity? This Week in AI Read More →
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
5 Reasons Why Context-aware Artificial Intelligence (Caai) Is Needed in Cybersecurity Read More →