The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. The last decade's growing interest in deep learning was triggered by the proven capacity of neural networks in computer vision tasks. If you train a neural network with enough labeled photos of cats and dogs, it will be able to find recurring patterns in each category and classify unseen images with decent accuracy. What else can you do with an image classifier? In 2019, a group of cybersecurity researchers wondered if they could treat security threat detection as an image classification problem.

This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. The last decade's growing interest in deep learning was triggered by the proven capacity of neural networks in computer vision tasks. If you train a neural network with enough labeled photos of cats and dogs, it will be able to find recurring patterns in each category and classify unseen images with decent accuracy. What else can you do with an image classifier? In 2019, a group of cybersecurity researchers wondered if they could treat security threat detection as an image classification problem.

Amy O'Connor, chief information officer at Cloudera and Patrick Sullivan, global director of Security Strategy at Akamai, discuss the growing use of artificial intelligence in both public and private sector cyber security, The latest agency to consider using artificial intelligence to augment their cybersecurity systems is the Internal Revenue Service. A request for proposals went out in June for an analytics platform to identify risks at the agency, and AI cloud providers are jumping at the opportunity. "I think it's encouraging that the IRS is going down this path. We see both in the private sector and public sector that people are turning to machine learning. One of the challenges that we face is not only are the threats growing… but just the challenge of finding qualified security professionals is daunting. There's estimates from ISACA that we will be about two million security personnel short next year and that grows to three and a half million based on estimates a couple of years from there," said Patrick Sullivan, global director of Security Strategy at Akamai "So what you end up with is a lot of great security tools that there's no human there that is trained to consume those, to inspect those. That's one opportunity with machine learning is to have better inspection of that enormous security perimeter that you have there."