Data is always on the move. Data flows across multiple interconnected systems, creating an expanded attack surface that spans Slack messages, browser-based AI tools, cache folders, and distributed cloud workloads.
Security teams have long tried to keep up. While traditional tools, such as firewalls, SIEMs, and DLPs, have evolved to address dynamic data flows, they face challenges in environments where data constantly moves across platforms. These tools look at networks. They watch for strange logins. They inspect files as they are being sent in and out of a system. However, the core challenge remains: effectively monitoring and protecting data that is distributed across numerous touchpoints.
This article has been indexed from DZone Security Zone
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