Agentic AI pushes identity to front of data security, Oracle says

The framing Oracle's Johnnie Konstantas offers is a shift in where security teams start. Rather than beginning from a product, she says she starts customers with what's in it for them: what they are trying to accomplish and where their sensitive data sits. That order matters because the threat she describes is not a new attacker technique so much as a new path — an agent carrying a person's permissions into a workflow, with sub-agents branching off it.

That is also why theCUBE Research's analysis of the Black Hat USA cybersecurity conference comes up: the security industry is paying particular attention to AI agents and their growing role in enterprise operations. The inventory question Konstantas raises — where sensitive assets exist and where in the company AI is being built — is a precondition for any control, and it is the kind of thing that has to be answered before identity can be made uniform and pervasive.

Oracle's own answer is embedded in its security portfolio, including the latest version of its AI database. But because Konstantas frames the best solutions as based on a customer's data and how they want to secure it, the practical question for buyers may be less about which capabilities exist than whether their own data map is complete enough to use them.