Unsupervised learning uses machine learning algorithms to analyze and cluster unlabeled datasets. These algorithms discover hidden patterns or data groupings without the need for human intervention. It uses clustering techniques to look at data and group it largely to determine whether a behavior is normal or anomalous. Tech Republic brought this topic to us in their article, “Machine learning is a great tool for cybersecurity, but be cautious, expert says.”
Its ability to discover similarities and differences in information make it the ideal solution for cybersecurity. Today, it’s impossible to deploy effective cyber security technology without relying heavily on machine learning.
With machine learning, cybersecurity systems can analyze patterns and learn from them to help prevent similar attacks and respond to changing behavior.
Data Harmony is Access Innovations’s artificial intelligence (AI) suite of tools that leverage explainable AI for efficient, innovative and precise semantic discovery of new and emerging concepts to help find the information you need when you need it.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
