Check out all the on-demand sessions from the Intelligent Security Summit here. As of 2021, 91.5% of businesses report an ongoing investment in artificial intelligence (AI). As organizations consider their next big AI solution, there are two key components that must be kept top of mind throughout this search: A strong user interface (UI) and bias-free results. Poor UI design is a leading reason why certain technology doesn't gain high adoption rates within organizations. If the UI of an AI solution is easy to use, delivers strong performance, and has engaging branding and design features, its business impact and usage will skyrocket.

As a data scientist, I'm always looking for new patterns and insights that guide action -- especially ways to make data science more effective for cybersecurity. One pattern I see consistently throughout the industry is the inability to operationalize machine learning in a modern security operations center. The challenge is that the capabilities behind different machine-learning models are difficult to explain. And if those of us in security can't understand how something works, and how to apply it to what we do, why on earth would we trust it? Machine learning (ML) can revolutionize the security industry, change the way we identify threats, and mitigate disruption to the business.