Companies adopting AI need to treat security as a foundational requirement rather than an afterthought. A platform approach is required so security, governance, and auditability are enforced from the beginning. Shadow AI must be addressed because employees may use consumer tools without organizational oversight. AI strategy depends on data strategy and security strategy working together. Organizations should demand security capabilities, governance controls, and auditability from their platforms at the start of AI initiatives. A consistent security posture is needed across clouds, across models, and across SaaS and partner environments, since most organizations are effectively multicloud even when they choose a single cloud.
"“As companies embark on this AI journey, they need to take a platform approach,” he said. “Security is not something you can bolt on later, and it's not something you can leave up to employees to do on their own.” He warned specifically about “shadow AI” - employees reaching for consumer tools without organizational oversight - and argued that companies need to demand security, governance, and auditability from their platforms from the start."
"“There's no such thing as an AI strategy without a data strategy and a security strategy. They need to go hand in hand.” He emphasized that security professionals have long tried to get executives to internalize this urgency, and that AI makes it more immediate for organizations building new systems and workflows."
"“Even if they pick a single cloud, they're relying on SaaS applications, there are business partners that may be using different clouds,” he said. “It's important for companies to have a security posture that is consistent across clouds, across models.” He argued that organizations should plan for cross-environment security rather than assuming a single-cloud boundary."
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