Picture a large international bank that wants to employ agentic AI to detect fraud and offer more personalized financial advice to their customers. With AI, the bank can continuously monitor transactions in real time and use AI-powered robo-advisors to provide financial recommendations. But because of regulatory considerations in their industry and the sensitivity of financial data, they must prioritize data privacy and sovereignty in any enterprise AI initiative. They don’t want to miss out on the opportunity with AI, but they also can’t risk exposing sensitive data or intellectual property. Since the AI boom began, industries that require greater control…

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