Incident Response 4

Vectra AI: AI-driven cybersecurity platform for threat detection and incident response. Vectra AI uses advanced Attack Signal Intelligence™ to identify and prioritize cyber threats that others can't. It reduces alert noise by 80% and speeds up incident response by 99%. Vectra AI protects modern networks from modern attacks by seeing attackers' every move, connecting the dots across network, identity, and cloud. The Vectra AI Platform is an NDR (Network Detection and Response) platform that protects modern networks from modern attacks.

A no-code AI orchestration platform for automating security and IT workflows securely. Tines is a secure, vendor-agnostic AI orchestration and intelligent workflow platform primarily designed for security and IT teams. It enables organizations to connect any tool with an API, automate complex manual processes without writing code, and deploy intelligent agents to reduce risk and technical debt. The platform features a drag-and-drop 'Storyboard' for building workflows, an AI-powered 'Workbench' for real-time interaction, and a robust case management system to track and resolve incidents at scale.

Next-generation physical AI solution for enhanced security and operational efficiency. Alpha Vision is a next-generation physical AI solution that offers a VSaaS (Video Surveillance as a Service) platform with AI Agents. It provides end-to-end security solutions, including cloud-based hardware like cameras, NVRs, alarms, and access control systems. Alpha Vision aims to enhance security, reduce costs, and improve operational efficiency across various industries.

Open-source tool to detect engineering burnout and manage unsustainable on-call workloads. On-Call Health is a free, open-source tool designed to monitor and manage the mental health and workload of on-call engineers. Developed by Rootly, it pulls data from various platforms like Rootly, PagerDuty, GitHub, Linear, and Jira to detect signs of unsustainable workloads and burnout. The tool combines objective technical signals with subjective sentiment surveys collected via Slack to calculate individual risk scores. This allows engineering managers to intervene early by rebalancing rotations or pausing non-urgent work before engineers reach a point of exhaustion.