"The mosaic effect describes a situation where individual pieces of information are each permissible to access on their own, but when combined, reveal something more sensitive than any single piece would suggest."
"What's changed is scale and speed. Modern AI systems can correlate thousands of low-risk data points in seconds, uncovering patterns that they were never explicitly designed to handle."
AI has transformed cybersecurity, particularly through the mosaic effect, where individual data points, when combined, expose sensitive information. Luke Norris, Co-Founder and CEO of Kamiwaza, emphasizes that traditional security controls are inadequate for these emergent risks. His extensive experience in security roles has led him to focus on how AI alters security models, especially in distributed and multi-cloud environments. The mosaic effect highlights the dangers of data aggregation, which modern AI systems can execute rapidly, revealing patterns that were previously undetectable.
Read at Securitymagazine
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