Cloud complexity is now a well-documented and widely felt phenomenon across technology teams — IT, development, and security alike. Multi-cloud architectures have become the norm, with 89% of organizations embracing a strategy that involves multiple cloud vendors. Not only are companies managing greater amounts of data than ever before, they're also spread across an ever-increasing array of cloud services, applications, and devices.
Securing all this information and preventing data loss in a multi-cloud environment would be a tall task for any security team. Add to the mix an increasingly heightened threat landscape and an ongoing cybersecurity skills shortage, and the challenge becomes even greater.
Rapid7, Mimecast, and Netskope recently published a joint white paper outlining best practices for cloud data protection and pinpointing some key resources that organizations can leverage in this effort. Here are three key concepts the paper highlights.
1. Embrace AI
Artificial intelligence (AI) and machine learning are well-known technologies at this point, but their potential is only just beginning to be tapped when it comes to helping security teams become more efficient and more effective.
Examples of AI-based tools that can help security teams include curated detections within an extended detection and response (XDR) platform, as well as intelligent threat and anomaly detection within cloud security tools.
Machine learning won't ever replace the tr ..
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