AI policy: a template for enterprise security teams

AI adoption among security teams has become nearly universal, but the policies governing these AI applications have not kept pace, leading to challenges in management and oversight. According to Tines' Voice of Security 2026 report, nearly all Security Operations Centers (SOCs) use AI, yet many security professionals are unsure how quickly they could disable AI in the event of a security incident, highlighting the inadequacy of existing policies. Traditional acceptable use policies (AUPs) fail to address the complex behaviors and risks posed by AI systems, such as data exfiltration or unauthorized deletions. To address these gaps, the article provides a comprehensive AI policy template with 12 sections, covering roles, data classification, tool approval, incident response, and more, aimed at ensuring that AI governance is robust and actionable. The policy distinguishes between behavioral rules and technical controls, emphasizing the importance of security teams having a dedicated AI policy to manage risks effectively. It stresses the need for dynamic, trigger-based policy updates and integration with intelligent workflow platforms to transform static documents into operational workflows that enhance security and compliance.

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