School Safety Platform

Platform

View all Overview Architecture AI Analytics Smart Location Policy Manager & IoT Reference Framework

Solutions

View all Early Threat Detection Check-In / Check-Out Silent Panic Button Restricted Zone Monitoring

News

View all K-12 multichannel alerts: measure coverage without confusing sending with receipt One K-12 credential, separate capabilities: avoid universal permission Three channels, three responsibilities: coordination is not dispatch or recordkeeping One incident, one meaning: Michigan brings emergency vocabulary to every K-12 system K-12 drills without real data: test response without rehearsing a breach Before buying devices: test interoperability and operational evidence From threats to operational learning: the new Louisiana K-12 cycle AI-enabled extortion in K-12: preserve evidence without amplifying harm K-12 cyber-physical response: a plan that works when the network does not K-12 safety beyond visitors: traceability for staff, contractors, incidents, and access Federal SSE FAQ clarifies access control, panic buttons, and visitor management Kentucky strengthens safe and responsible K-12 AI procurement Oklahoma formalizes mobile-alert vendors, PSAP links, and real-time coordination California updates its school AI guidance and reinforces compliance CENTEGIX data highlights the weight of everyday K-12 safety incidents Maryland turns school AI governance into policy, coordination, and procurement Canvas turns post-incident response into a contact and governance issue The Canvas incident offers a K-12 lesson in operational continuity DOJ panic-alert case warns K-12 leaders about procurement governance Federal SSE grants align visitor screening, locks, and emergency response Ohio makes AI policy an immediate K-12 obligation Tennessee defines funding, workflow, and audits for mobile panic alerts Michigan brings AI into district policy and procurement Texas makes threat assessment a reportable obligation through Sentinel Utah defines a minimum operating architecture for school safety K-12 cybersecurity as a school safety layer: from IT to operations OSDP in 2026: open Transparent Mode and Secure Channel 2 for K-12 access control What an ANSI/ASIS standard adds to K-12 school security, and how to apply it to purchasing and operations Critical incident mapping in K-12: from map to operational layer, lessons from Iowa Singlewire 2026 report and a K-12 reading: the gap is not lack of technology, it is operations Georgia (HB 268): Alyssa's Alert, NG9-1-1, and school mapping as operational requirements Mississippi (SB 2498, 2026): from panic button to operational specification OSDP in K-12: why Secure Channel + Verified changes the minimum access-control standard NIST opens an AI RMF profile for critical infrastructure: useful language for governing AI in school safety PASS v7 and Digital Infrastructure: the new layer connecting access, video, panic, and IoT in K-12 Third-party AI in school safety: an operational checklist to deploy it secure by default (2024-2025)Miami and the debate over funding security in private schools Governance for AI + video in schools: from CCTV to assisted analytics without automated decisions Utah and actionable response: wearable panic, PSAP, maps, and keys (UL 1037)West Virginia (HB 4798): Alyssa's Law and the move toward shareable safety data AI video and access control: the convergence accelerating campus security How to choose school safety technology without falling into isolated purchases School safety 2026: from panic buttons to orchestrated response Observability and response: two key layers for school safety

AI Analytics

Real-time neural network processing for visible threat detection, event classification, and faster situational awareness.

Overview

Clipxu's AI analytics engine continuously monitors live video feeds across campus, analyzing visual data in real time to identify potential threats with speed and consistency. Instead of relying on passive recording alone, schools gain a visual intelligence layer that supports earlier awareness and faster verification.

Core capabilities

Detection of visible firearms such as handguns and rifles.
Support for identifying unauthorized presence and other high-risk events.
Real-time alerts with location context to help administrators and security teams respond faster.
Policy-aware routing so notifications reach the right teams and connected systems.

Why it matters

Unlike manual monitoring, the AI engine does not fatigue or lose focus. It processes events in milliseconds, providing earlier warning and giving schools more time to validate, escalate, and act.

Connected response

AI analytics is not isolated from the rest of the platform. When a threat is detected, the result can be passed to the Policy Manager so the school can trigger automated notifications, lockdown logic, live monitoring, or downstream response workflows.