Strategic research for proactive safety leaders.
Open analysis on AI-powered physical security, detection architecture, compliance, policy, sector risk, and the operational shift from recorded video to verified response.
Read by question, not by publication date.
IntelliGence is organized for security directors, facilities leaders, risk teams, and operators who need to understand what is changing and what to do next.
What threats are changing?
Track emerging physical security risks, attack patterns, safety mandates, and response gaps.
Threat intelligence 02How does the technology work?
Understand computer vision, local inference, model validation, alert routing, and integration architecture.
Technology briefings 03How do we justify action?
Use ROI, grant, liability, and operational frameworks to move proactive safety into planning and budget cycles.
ROI frameworksSix ways into the library.
Each stream is tuned to a different decision mode: signal, architecture, sector risk, standards, business case, and autonomous workflow design.
Threat Intelligence
What is changing in schools, public facilities, healthcare, workplaces, venues, and critical infrastructure.
ArchitectureTechnology Briefings
How AI video analytics actually works, where it fails, and what architecture choices matter.
EnvironmentsSector Playbooks
Industry-specific planning for education, healthcare, manufacturing, public sector, and commercial facilities.
StandardsCompliance
Privacy, safety policy, DHS SAFETY Act, workplace violence mandates, and procurement context.
Business CaseROI Frameworks
Practical models for evaluating cost, risk reduction, staff efficiency, and incident response impact.
AutomationAgentic AI
How autonomous workflows can help teams move from detection to coordinated response.
The live IntelliGence library.
Latest briefs, spotlight analysis, discipline filters, article index, and curated reading paths stay powered by the existing Intelligence publishing system.
Working Technology BriefingsAI-Powered Threat Detection and Workplace Safety: The Definitive 2026 Guide to Proactive Computer Vision
A reference guide for security, risk, and operations leaders evaluating AI-powered threat detection in 2026.
Bodies of research, organized by the question they answer.
Every dispatch, ordered by date.
Technology BriefingsAI Smoke Detectors and Visual Fire Detection: The 2026 Technology Briefing on Video Image Detection, the Stratification Gap, and NFPA 72 RecognitionHow AI smoke detectors work, why ceiling sensors lose minutes to smoke transport and stratification, what NFPA 72 and FM 3232 require of video image detection, and where visual fire intelligence belongs in a...Read dispatch Technology BriefingsHow AI Cell Phone Detection Works: A 2026 Technology Briefing on Device Detection, Pose and Gaze Fusion, and the Presence-Not-Screen Privacy BoundaryWith 26 states writing bell to bell phone bans into law, the question is no longer policy but enforcement. A computer-vision technical reference on how camera-based phone detection actually works, why it is harder...Read dispatch Technology BriefingsMulti-Camera Tracking and Person Re-Identification in Physical Security: A 2026 Technology Briefing on How Computer Vision Follows a Subject Across a Camera Network Without Facial RecognitionA technical reference on multi-camera tracking and person re-identification: the two computer-vision problems behind following a subject across a facility, how mAP, Rank-1, and HOTA measure them, where the technology fails, and why appearance...Read dispatch Technology BriefingsCamera Requirements for AI Video Analytics: A 2026 Technology Briefing on the DORI Standard, Johnson Criteria, Pixel Density Math, and the Imaging Variables That Determine Detection PerformanceMegapixels do not decide whether AI detection works; pixels on target do. This briefing translates IEC 62676-4, the Johnson criteria, and compression research into a four-pass audit framework for scoring camera estates before deployment.Read dispatch Technology BriefingsRetrofit Architecture for AI Physical Security: A Technology Briefing on VMS Integration, ONVIF/RTSP Standards, NVR Compatibility, Latency Budgets, and the Decision Between Add-On Inference and Rip-and-ReplaceA primary-source-grounded technology briefing on adding AI inference to existing camera fleets. Walks the standards layer (ONVIF, RTSP, H.265), the five integration patterns that dominate 2026 deployments, the latency budget math, and the procurement...Read dispatch Technology BriefingsEdge vs. Cloud AI Inference in Physical Security: A Technology Briefing on Where the Model Runs, Latency Reality, Privacy Architecture, and Hybrid Patterns Reshaping Buyer EvaluationWhere the AI model runs is now the most consequential procurement question in physical security. This technology briefing walks the latency math, regulatory implications, and four hybrid edge-cloud architecture patterns shaping how buyers evaluate...Read dispatch Technology BriefingsHow AI Gun Detection Works: A Technical Reference on Computer Vision Architecture, Model Training, Accuracy Trade-offs, and Deployment for Security LeadersA deep technical reference on how AI gun detection systems actually work - from model architecture families (YOLO, Faster R-CNN, DETR) to training data quality, confidence threshold calibration, real-world failure modes, and deployment architecture...Read dispatch Technology BriefingsAI Video Analytics vs. Traditional CCTV: A Technology Briefing on the Architectural Shift From Recording to Real-Time DetectionTraditional CCTV is a recording architecture; AI video analytics is a detection architecture. This technology briefing explains the system-level differences with primary-source data on false alarms, labor supply, and the migration path that does...Read dispatch Technology BriefingsAI Fall Detection: How Computer Vision Identifies Falls in Real Time Across Healthcare, Senior Living, and Workplace EnvironmentsHow AI fall detection works at the model level: pose estimation, temporal classification, and the privacy architecture that makes vision-based detection deployable in hospitals, senior living, manufacturing, and retail environments.Read dispatch Technology BriefingsHow Computer Vision Models Handle Occlusion, Low Light, and Adversarial ConditionsThree failure modes determine whether a computer vision security platform actually performs in the field: occlusion, low light, and adversarial conditions. This briefing covers what the science says and how to evaluate vendors against...Read dispatch Technology BriefingsAI-Powered Threat Detection and Workplace Safety: The Definitive 2026 Guide to Proactive Computer VisionA 2026 reference for security, risk, and operations leaders evaluating AI threat detection: how it works, where it pays back, and what to ask vendors.Read dispatch Start with the question your team is trying to answer.
What threats are changing?
Track emerging physical security risks, attack patterns, safety mandates, and response gaps.
Threat Intelligence →02How does the technology work?
Understand computer vision, model validation, alert routing, and integration architecture.
Technology Briefings →03How do we justify action?
Use ROI, grant, liability, and operational frameworks to move proactive safety into planning.
ROI Frameworks →Research should clarify the next decision.
Our library stays open access so security, risk, and operations leaders can evaluate the evidence before they evaluate a platform.
Talk with an Intelligence AdvisorA research practice, not a content calendar.
Every dispatch is grounded in current standards, field-tested deployment patterns, primary-source research, and clear limits. The goal is not volume. The goal is better physical security decisions.
Each issue, delivered only when there is something worth reading.
New dispatches on AI-powered physical security, regulatory shifts, and proactive safety technology. Sent only when we publish.
Have a specific environment to evaluate?
Share the risk profile, camera footprint, and response workflow. We will help translate the research into a practical detection plan.