Generations of Machine Learning in Cybersecurity

December 27, 2017

In this white paper, we aim to define generations of machine learning and to explain the maturity levels of artificial intelligence (AI) and machine learning (ML) that are being applied to cybersecurity today. In addition, the paper seeks to explain that while a great deal of progress has been made in the evolution of machine learning’s application to cybersecurity challenges, there remains an immense amount of opportunity for innovation and advancement in the field, and we expect the sophistication of applications of machine learning to continue to evolve over time.

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ARKemis Pte Ltd

A Singapore Start-up focusing on security in IOT for utilities, healthcare, public safety and cyber security.

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Spotlight

ARKemis Pte Ltd

A Singapore Start-up focusing on security in IOT for utilities, healthcare, public safety and cyber security.

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