Machine learning offers hope against cyber attacks

Organizations and individuals are overwhelmed by the rising number of threats. There’s simply too much security-

Machine learning
Credits: Datanami

related data coming onto the network from an ever-widening array of connected devices. In addition, threats are growing in scale and complexity.

To meet this demand, a new solution has emerged offering to apply machine learning to enterprise security. These tools deliver the ability to analyze networks, learn about them, detect anomalies and protect enterprises from threats.

This security solution is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data.

This security solution can help human security analysts when it comes to detecting real threats more quickly, so that an enterprise can act on them more swiftly. The technology can plumb the depths of historical security data to learn what attacks look like based on hidden variables and their relationships to each other, all in preparation for “seeing” the next attack when it hits.

It now serves as the most modern solution to curbing the over rising cyber threats that grow in complexity as technology develops. The threats are hard to curb until they actually happen. So, is machine learning the answer to today’s cybersecurity challenges? Industry analysts and companies offering these products say they’re seeing increased demand, and the early reaction from users is positive.

The industry really is just at the start of applying machine learning to the growing cyber-security challenges of detecting and analyzing increasingly sophisticated and targeted threats. The future will see neural networks trained in one data set become the input to others, thereby creating deep networks by extending the knowledge of high-level networks.

 

 

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