2017 Cybersecurity Predictions: Machine Learning and AI-Driven Frameworks Shape Cloud Security - Palo Alto Networks Blog

This post is part of an ongoing blog series examining "Sure Things" (predictions that are almost guaranteed to happen) and "Long Shots" (predictions that are less likely to happen) in cybersecurity in 2017. In the last few years, the digital footprint of organizations has expanded beyond the confines of the on-premise data center and private cloud to a model that now incorporates SaaS and public clouds. To date, InfoSec teams have been in a reactive mode while trying to implement a comprehensive security strategy across their hybrid architecture. In 2017, we will see a concerted effort from InfoSec teams to build and roll out a multi-cloud security strategy geared toward addressing the emerging digital needs of their organizations. Maintaining a consistent security posture, pervasive visibility, and ease of security management across all clouds will drive security teams to extend their strategy beyond security considerations for public and private clouds and also focus on securely enabling SaaS applications.