Jizô AI is a network detection and response platform developed by Sesame IT that uses deep learning algorithms to detect cyber threats across IT and OT environments. It supports cloud, hybrid, and on-premise network deployments. The platform operates through 7 distinct detection engines that analyze both encrypted and unencrypted network traffic in real time, handling up to 40 Gbps of throughput. It is capable of detecting a wide range of threat types including malware (viruses, ransomware, rootkits, fileless malware), social engineering, man-in-the-middle attacks, denial-of-service attacks, and injection-based attacks (SQL, XSS, XXE, LDAP, etc.). Jizô AI continuously learns from an organization's data and operations to improve detection accuracy and reduce false positives. Each alert is ranked, correlated, and accompanied by a detailed explanation to support SOC triage. Two investigation modes are available: a guided mode for general users and an expert mode providing access to granular data via visual dashboards. The platform integrates with Hoshi, a CTI (Cyber Threat Intelligence) component developed in-house, which delivers daily detection sets for emerging threats. These sets can be applied to the platform in a single click to extend detection coverage to newly identified attack scenarios. Key operational claims include a 25x faster SOC triage speed and 2 hours saved per SOC analyst per day. The platform is designed with a "secured by design" principle, with no data sharing and full transparency into captured and analyzed traffic, including packet loss visibility.