Author: Security Weekly - A CRA Resource - Bewertung: 0x - Views:8
The discussion highlights a shift in security architecture driven by agentic AI systems. Instead of traditional network perimeters, the focus is moving toward data-centric security, including lineage, contextualization, and data security posture management (DSPM).
As AI agents interact with data at machine speed, traditional human-driven governance and security processes may no longer be sufficient. Organizations are being forced to rethink resilience and recovery models to match the speed and scale of AI-driven systems. This creates a gap between technological capability and operational oversight.
The result is a structural shift in how trust and control are established in modern systems.
How do organizations maintain control when AI systems operate faster than human governance can respond?
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