Artificial Intelligence is no longer a future concept in K-12 education; it is a present reality. From students using public LLMs for homework to staff leveraging enterprise AI tools with access to district data, AI presents a new and complex attack surface. For district technology and security leaders, the challenge is not how to block AI, but how to build a secure framework that enables its powerful benefits while protecting sensitive student and staff data. Additional Information This session provides a practical guide to navigating the K-12 AI security landscape. Drawing from real-world district experience, we will cover actionable strategies for securing three key pillars of AI usage in the K12 space: Students using AI, staff using AI, and AI integrated into third-party applications. Key topics include establishing clear policies and contractual safeguards, implementing technical controls with your existing security stack, and fostering a culture of responsible AI use through targeted user education. We will discuss leveraging SWG/SSE/CASB platforms to create a “walled garden” for sanctioned AI use, applying DLP policies to prevent PII leakage in AI prompts, and using identity and access management to prevent over-permissioning and adhering to the principle of least privilege.
Essential Skill Information Technology; Data Privacy & Security
