Participants will learn how modern tools monitor student activity on school‑issued devices for signs of cyberbullying, self‑harm, suicide ideation, and violence, and how those digital alerts can feed into existing threat‑assessment and mental‑health triage processes. We’ll examine ways to connect AI analytics from cameras, IoT sensors, and device monitoring with multi‑channel emergency alert systems, enabling faster, more precise responses while protecting privacy and reducing false positives. Attendees will leave with a practical framework to evaluate AI safety technologies, ask the right questions of vendors, and align these tools with district policies, ethics, and student‑support teams.