AI Network monitoring

Unveiling The Applications and Distinctions of Machine Learning and Artificial Intelligence in Cybersecurity

The terms “machine learning” and “artificial intelligence” are frequently used in cybersecurity, often interchangeably, leading to confusion about their precise meanings and applications. Both machine learning and artificial intelligence play pivotal roles in fortifying cybersecurity defenses, yet they encompass distinct methodologies and applications. What are the disparities between them? And how do these technologies converge to bolster cyber resilience?

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.

AI-Enabled Cybersecurity Is Necessary for Defense: Capgemini Report

850 senior executives from Information Security, Cybersecurity, and IT Operations in seven industries across ten countries were recently surveyed by consulting and technology services firm, Capgemini, in their “Reinventing Cybersecurity with Artificial Intelligence” report. The goal being to understand today’s benefits, complexities, and levels of implementation of AI in cybersecurity across IT (information technology), OT (operation …

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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 …

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