AI and predictive analytics should be used to augment a company’s security team, not replace it. Here’s why.
Artificial intelligence (AI) and machine learning (ML) are two interrelated concepts that people across the tech landscape know hold important implications. While the benefits of these capabilities are many, experts in the field are also known to flaunt dire theories about them – from threats of dystopian futures ala The Matrix films to more tangible fears like wide-scale data breaches.
Machine learning falls under the broader AI umbrella as a technology that can enable computers to learn and adapt through experience, essentially, mirroring human cognition to recognize patterns. Successful examples of recent ML deployments include Google’s evolving search algorithms and Amazon’s product recommendations, along with the many “news feeds” that are common across social media.