Guide
AI adoption is accelerating faster than security programs can adapt, and the result is a growing surface area of AI-driven tools, integrations, and autonomous workflows that security teams have limited visibility into and even less control over. The risks are not hypothetical — AI systems can be manipulated to produce harmful outputs, exploited to extract sensitive data, or turned into persistence mechanisms by attackers who discover them before defenders do. This guide provides IT and security leaders with a strategic framework for securing the AI-powered enterprise, covering the threat model for AI-driven environments, the governance controls needed to manage AI tool access and output monitoring, the detection capabilities that identify AI-targeted attacks, and the policy foundations that allow organizations to benefit from AI adoption without accepting the security exposure that comes with unmanaged deployment.
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