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Cybersecurity's Transformative Shift

ID: a141eaa7-a293-5f5a-b511-e57857c47a8e

STIX ID: report--a141eaa7-a293-5f5a-b511-e57857c47a8e

Feed Name: Dark Reading

Date Published: 2024-02-15

Date Updated: 2026-04-21

Author: Katie McCullough

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This report argues that traditional reactive threat detection is insufficient in today’s complex, data-driven environments and promotes a proactive model anchored in user and entity behavior analytics (UEBA) and granular data flow monitoring. It explains how UEBA can identify anomalous behaviors indicative of insider threats, compromised accounts, or subtle data exfiltration, while emphasizing data privacy, sovereign clouds, and regulatory alignment. The overall message is to balance strong security with usability by integrating behavior analytics and data-centric controls into modern cybersecurity programs.

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