Three ways artificial intelligence can improve cybersecurity

This past summer, the US Internal Revenue Service issued a request for information to learn more about how artificial intelligence can improve cyber security, Fifth Domain says.

One of the most important potential use cases for artificial intelligence in government is cyber security. Most cyber security solutions use rules-based or signature-based methodology that requires too much human intervention and institutional knowledge. These systems require constant updates to those rules – taking up employee time – and typically forcing analysts to only look at a single part of the enterprise, failing to get a holistic picture of the environment. Artificial intelligence can augment that human element to make the time spent on cyber security more productive.

At its core, artificial intelligence is the science of training systems to emulate human intelligence through continuous learning. Artificial intelligence relies on the security analytics lifecycle, which is made up of three pillars: data, discovery and deployment. It is possible to analyze large volumes of data, recognizing complex patterns of malicious behavior, and drive rapid detection of incidents and automated response.

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