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…
In the evolving landscape of cybersecurity, agentic AI is prompting a shift in how data is protected, moving beyond traditional perimeter defenses. Krista Case, senior analyst at theCUBE Research, emphasized that even robust security programs are vulnerable to agentic attacks, which could lead to the failure of these defenses. The conversation centered around the importance of securing data at its source, with Oracle executives highlighting the critical role of databases in this process.
As AI agents gain the ability to operate at machine scale and make autonomous decisions, the focus has expanded to encompass not just data recovery but also understanding the business processes and functions that need to be restored. This broader perspective on recovery introduces new complexities, such as determining a trusted operational state and establishing the parameters for safely resuming business operations.
The discussion also underscored the need for a collaborative approach between vendors and customers, with vendors ensuring their products are secure and customers defining the criticality of their assets and the acceptable risk levels. Ultimately, the evolving nature of cyber threats necessitates a more comprehensive approach to resilience, integrating security measures from the ground up rather than relying solely on reactive measures.
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