Migally added that the risk now extends beyond infrastructure itself.
Agentic AI expands the attack surface by introducing autonomous systems that continuously interact with data across applications, APIs, and other agents.
“ Because agents operate at machine speed and trigger chained actions, any compromise is no longer isolated. It can quickly propagate across systems and datasets, creating risk not just to infrastructure, but to the integrity and use of data itself. This makes the attack surface more dynamic, interconnected, and fundamentally harder to contain.”
While organisations are investing heavily in agentic AI platforms, several industry leaders believe technology readiness is only one side of the equation.
Mohamed El Yahya, Managing Partner, Global Infrastructure Services( GIS), Middle East & Africa, DXC Technology
Mohamed El Yahya, Managing Partner, Global Infrastructure Services( GIS), Middle East & Africa, DXC Technology, said the bigger challenge lies within organisational operating models.
“ Where preparedness is less certain is in the operating model,” he said.“ Introducing agentic AI into security operations means asking teams to rethink processes that have been relatively unchanged for two decades, and that requires a fundamental shift in how security teams operate.”
Mortada Ayad, VP of Sales – META, Delinea
Mortada Ayad, VP of Sales – META, Delinea, agreed that organisations cannot simply extend
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