Machine learning contributes to many other technologies, e.g. fraud detection, search engines, etc. By automatically discovering patterns that lead to insights and creating predictive models that drive actions, the technology has proven its value many times, and to many industries. This interesting information came from DATAVERSITY in their article, “Why Cybersecurity Needs Machine Learning.”

Machine learning is also making a name for itself in the field of cybersecurity. Machine learning can help human security analysts when it comes to detecting real threats in real time. The sooner such problems are identified, the sooner communication can take place between security analysts and engineers to address threats. Though not all cyber security solutions bring the same level of machine learning capabilities to the party, many take a one-size-fits-all approach.

We are at the beginning of seeing how machine learning can contribute to the growing cybersecurity challenges of detecting and analyzing increasingly sophisticated and targeted threats. The future will increase its use of artificial intelligence–the simulation of biologic thinking in computers–in detection engines.

Melody K. Smith

Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.