CyberBrief
Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote
CyberBrief is an AI-assisted cyber-fraud reporting and investigation workspace that helps citizens explain what happened and gives officers a clearer starting point for action. Citizens describe an incident through a guided chatbot and attach evidence such as payment screenshots. Meta Muse Spark extracts relevant details for the citizen to review, while Muse Voice Transcribe supports voice input. The information becomes a structured complaint with its supporting evidence. Coordinators review assignment recommendations based on location, officer availability, and workload. Officers use an AI investigation assistant to search related complaints, compare shared identifiers, review earlier case history, and suggest next steps. They can coordinate with colleagues and request missing evidence from citizens through the same portal. Officers approve messages and actions, while case records retain sources and activity history. CyberBrief also includes transaction verification, verification history, and bank-information request drafting. The current demonstration uses a clearly labelled simulated bank. The goal is to reduce repetitive data entry, evidence gathering, and drafting so officers can spend more time on informed, actionable investigation. AI prepares the work; people remain responsible for decisions.