For a full security stack that can stop perimeter intrusions and detect weapons as they're being used, Ambient.ai is a good choice. It applies computer vision smarts to video feeds from existing security cameras to spot problems like perimeter intrusions and weapons use. Among its features are proactive risk alerts, graph-powered forensics and mobile dispatch to keep security personnel on the job and respond to problems. It's geared for organizations like schools, warehouses and museums.
Another option is Knightscope, which makes self-driving security robots and emergency alert systems. The robots can stream 360-degree HD video and keep watch 24/7, spotting intruders and sending alerts to authorities. Knightscope also can add automated gunshot detection and virtual monitoring services, and it's designed to work in a variety of settings, including parking garages and campuses.
For a more AI-heavy approach, OnSolve offers a unified platform that spots problems and alerts the right people. It includes real-time detection and alerting, AI-based threat detection and mass notification to keep people and operations safe. The platform spans the critical event lifecycle, from risk prediction to threat response, so it's good for big businesses and government agencies.
Last, Darktrace has an end-to-end cybersecurity system that uses Self-Learning AI to spot and respond to attacks in real time. It offers contextual understanding, threat correlation and automated response so organizations have a single view of security threats across different systems. It's flexible and scalable, good for companies of any size, and integrates with existing security tools to improve overall protection.