The hottest technology right now is AI — more specifically, generative AI. The trend is so popular that every conference and webinar speaker feels obligated to mention some form of AI, no matter their field.
The innovations and risks that AI offers are both exciting and frightening. However, the heavy focus on this technology overshadows an important component of artificial intelligence: machine learning (ML).
For a quick overview, ML is a subset of AI based on patterns, predictions and optimization. Cybersecurity tools rely on ML to use predictions and patterns to find anomalies and sniff out potential threats. Instead of a human spending hours reading logs, ML can do the same tasks in seconds.
Like AI, ML has been around for a long time. The reason why we’re talking about AI so much now is because generative AI is a game changer in the way we communicate with technology. But ML is also changing, and we’ll see it used in new ways in 2024.
How we use machine learning
Machine learning is all about data. ML algorithms rely on historical data to detect patterns, from software codes to customer shopping behaviors. Social media networks rely on ML algorithms to keep relevant information at the top of your feed. Self-driving cars use ML algorithms to navigate city streets and traffic laws. In cybersecurity, ML is used in areas like behavioral analytics and sending alerts for unusual usage, task automation and providing more efficient real-time threat-hunting intelligence.
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