3 stories
For enterprises, data resiliency ultimately comes down to an ability for useful work to continue. The definition sounds simple, yet making sure that data in critical systems is fully protected and accessible as rapidly as possible is a complicated task.
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.
Security operations teams are changing their approach in the world of artificial intelligence, adopting automation to turn signals into outcomes while maintaining the right context and control.
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