Agentic AI puts new pressure on identity and database security
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. This transition is complicated by a need to identify the proper role for AI, finding the right blend of human tradecraft and autonomous decision-making. Database security providers such […] The post…
Security teams are adapting to the rise of artificial intelligence by incorporating automation to convert signals into outcomes while preserving the necessary context and control. Balancing human expertise and autonomous decision-making is crucial in determining AI's role. Database security firms like Oracle are collaborating with clients to facilitate AI advancements, particularly agentic AI, without undermining data security.
Oracle's Johnnie Konstantas highlighted the significance of inventorying sensitive assets and pinpointing AI development within organizations. The discussion on Oracle's event focused on identity controls for AI agents and Oracle's solutions in maintaining data protection amidst evolving AI-powered attacks. Agentic AI, which enables sub-agents to represent individuals and access data, necessitates a revised understanding of identity.
Oracle has incorporated agentic AI into its security solutions, with the company tailoring approaches to each client's needs, especially concerning sensitive data.
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