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The article addresses the critical shift in cybersecurity strategy necessitated by agentic AI, specifically focusing on embedding security controls directly within databases to enforce access policies independent of agent instructions. This approach responds to new threat vectors where AI-driven attacks can bypass traditional perimeter defenses, making data-centric security essential for resilience against machine-scale breaches. The discussion highlights a necessary evolution from the cloud-era shared responsibility model to one where vendors and users share accountability for securing the underlying data assets.
Agentic-fueled attacks place focus on securing data at the source
The practice of building cybersecurity directly into networks and databases has taken on greater importance in the new era of agentic AI. Trust boundaries are being relocated to the database itself, where access policies can be enforced regardless of the instructions an AI agent has received. This has become particularly significant in light of recent […] The post Agentic-fueled attacks place focus on securing data at the source appeared first on SiliconANGLE.
The practice of building cybersecurity directly into networks and databases has taken on greater importance in the new era of agentic AI. Trust boundaries are being relocated to the database itself, where access policies can be enforced regardless of the instructions an AI agent has received. This has become particularly significant in light of recent high-profile breaches involving agents that escaped from model provider labs. “What agentic has done is it really has solidified the fact that even very mature security programs,…
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