Using AI and Machine Learning in Cybersecurity

During a panel on the state of cybersecurity, Stanger asked about using artificial intelligence (AI) and machine learning to enhance cybersecurity. Cyxtera Senior Vice President Tina Gravel, High Wire Networks Director of Security Operations Josue Vargas and ITProTV Edutainer Daniel Lowrie all had thoughts on the topic.

“AI is definitely great at eliminating the noise,” Gravel said. “It can also save time – if it gets through all that noise. It can give you an idea that a breech is about to occur so you can have one of your smart people handle it.”

Stanger chimed in to add that about 20 to 30% of a person’s workweek is spent on repetitive tasks, like pattern matching – which are not only tedious, but also things that machines can do better than humans.

“When you start talking about AI, we have to remember how we're using it. The purpose is to remove that time barrier and make things that take time for us not our problem,” Lowrie said. “Remove the time barrier, make it easier for me so I can be where I need to be and apply the higher-level skills.”

Vargas echoed these sentiments when it comes to using machine learning to help IT pros focus on the meaningful parts of the job.

“People study to do a job that's meaningful, not to just get stuck on the tedious things,” he said. “Analyze the best use case for machine learning and what will bring the most benefit to your team.”

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