GhostTrace AI is an autonomous cyberattack investigation platform designed to help security teams analyze and understand complex cyber incidents faster using AI-powered workflows and AMD GPU acceleration. Traditional security tools generate thousands of alerts but still require analysts to manually investigate logs, network traffic, screenshots, and suspicious artifacts. GhostTrace AI transforms this process by using multiple AI agents to automatically detect threats, reconstruct attack timelines, map MITRE ATT&CK techniques, and generate actionable forensic intelligence. The platform supports multimodal evidence analysis, including security logs, PCAP files, phishing emails, ransomware notes, terminal activity, and suspicious screenshots. Using advanced AI models such as Llama 3 and vision-language models, GhostTrace AI can explain attacker behavior in natural language, identify indicators of compromise, and visualize attack progression through interactive timelines and attack graphs. Built with a modern Next.js and FastAPI architecture, GhostTrace AI integrates with AMD Developer Cloud and leverages AMD Instinct MI300X GPUs with ROCm acceleration for high-performance AI inference and parallel AI agent execution. The platform also includes GPU performance monitoring, AI investigation chat, automated forensic report generation, and real-time investigation dashboards. Our goal is to create a next-generation AI SOC investigator that reduces investigation time, improves incident response efficiency, and empowers cybersecurity teams with intelligent, automated threat analysis.
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