This whitepaper provides a comprehensive governance framework for managing the risks of artificial intelligence in enterprise environments. It emphasizes visibility into AI usage, data, model access, and behavior. Key challenges addressed include shadow AI, data leakage, model exploitation, and compliance with regulations like the EU AI Act and GDPR. Palo Alto Networks recommends policy-driven oversight supported by technical controls such as runtime monitoring, access restriction, and data classification. The paper encourages collaboration between security, compliance, and engineering teams, and promotes solutions like Cortex AI-SPM for enforcing policies and reducing the attack surface of AI-powered applications.

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