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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.
An agentic security strategy must account for software that can act on legitimate instructions in unexpected ways. Agents can use credentials, call tools and choose their own routes toward a goal, expanding the paths security teams need to watch.
As enterprises face AI-driven cyberattacks, AI security governance must control autonomous systems that can reach data, connect applications and act on users’ behalf. That makes human accountability a core security requirement.
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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