News
Trends, lessons, and practical documentation on school safety, AI, IoT, and campus response operations.
What an ANSI/ASIS standard adds to K-12 school security, and how to apply it to purchasing and operations
ASIS announced an ANSI-approved school security standard. The 2026 opportunity is to use it as a backbone for governance, lifecycle, and continuous improvement.
Critical incident mapping in K-12: from map to operational layer, lessons from Iowa
Iowa frames school safety around EOPs, exercises, and critical incident mapping as an operational asset for coordinated response.
Singlewire 2026 report and a K-12 reading: the gap is not lack of technology, it is operations
Singlewire's 2026 report points to gaps around main entrances, help channels, and low wearable panic availability, useful for prioritizing roles, training, redundancy, and metrics.
Georgia (HB 268): Alyssa's Alert, NG9-1-1, and school mapping as operational requirements
Georgia sets a minimum standard: mobile panic integrated with PSAP and NG9-1-1, plus mapping requirements that should become actionable response context.
Mississippi (SB 2498, 2026): from panic button to operational specification
A 2026 Mississippi bill details unusually concrete requirements: no Wi-Fi dependency, strobes, annual training, security data access, and confidentiality rules.
OSDP in K-12: why Secure Channel + Verified changes the minimum access-control standard
SIA published a 2026 checklist for proper OSDP implementation. For K-12, it means real interoperability, reader-controller encryption, inventory, staging, and validation.
NIST opens an AI RMF profile for critical infrastructure: useful language for governing AI in school safety
NIST published a concept note for an AI RMF profile focused on critical infrastructure, offering practical language for trust, measurement, and control in school safety AI.
PASS v7 and Digital Infrastructure: the new layer connecting access, video, panic, and IoT in K-12
PASS 7th edition adds a Digital Infrastructure layer and reinforces that modern school safety combines physical security, cybersecurity, and operations.
Third-party AI in school safety: an operational checklist to deploy it secure by default (2024-2025)
Joint NSA/CISA/FBI and CISA guidance recommend treating AI as a production system: inventory, hardening, data protection, logging, and incident response.
Miami and the debate over funding security in private schools
The Archdiocese of Miami asked Florida to extend school safety funding to private Catholic schools, bringing equity, cost, and prevention back into the K-12 security agenda.
Governance for AI + video in schools: from CCTV to assisted analytics without automated decisions
Recent official guidance reinforces a core idea: video and AI in schools require clear legal bases, transparency, access controls, and explicit limits on automated use.
Utah and actionable response: wearable panic, PSAP, maps, and keys (UL 1037)
Utah is pushing an integrated approach: wearable alerts that reach 9-1-1/PSAP with operational context and concrete infrastructure requirements such as UL 1037 key boxes.
West Virginia (HB 4798): Alyssa's Law and the move toward shareable safety data
The official HB 4798 text defines wearable panic alerts and requires cameras, maps, and access control data to be available to law enforcement under protocols.
AI video and access control: the convergence accelerating campus security
The 2026 announcements reinforce a clear trend: intelligent video, analytics, and access control are starting to operate as one shared operational layer.
How to choose school safety technology without falling into isolated purchases
Recent public guidance and frameworks suggest a simple rule: strategy and protocols first, then devices and analytics.
School safety 2026: from panic buttons to orchestrated response
Recent developments show a shift from isolated alerts toward platforms that connect panic activation, maps, communications, and emergency protocols.
Observability and response: two key layers for school safety
Modern school safety combines early detection, operational context, and clear response workflows to reduce decision time.