Open Innovation NeosSubmitted July 26, 2026

HUNT3R-T: Autonomous Threat Hunter with Digital Twin

An MCP app on the Model Context Protocol built by Neos at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

HUNT3R-T is an autonomous threat hunting agent that eliminates the 197-day breach detection gap. Unlike current tools that alert humans and wait, HUNT3R-T hunts actively, simulates attacker paths in a digital twin, and pre-emptively neutralizes threats — all in under 4 minutes with zero human intervention. Key differentiators: • Autonomous hunting: No alert required. The agent searches for threats across SIEM, EDR, and threat intel simultaneously. • Digital twin simulation: Every response is battle-tested in a parallel universe before touching production. • Explainable autonomy: Full causal chain for every action — no black boxes, no compliance risk. • Temporal reconstruction: Reconstructs attack timeline to find patient zero and predict next moves. Result: 197 days of attacker dwell time → 4 minutes. Not faster response. Prevention. Built with NitroStack MCP architecture for hackathon deployment.

Open Innovation track

Solve any real-world problem with AI, regardless of industry or domain.

Team Neos

  • Mohamed Sahil KhanLead

  • Madhumitha Sivakumar

  • Anwita

  • Appaka Vibhika Krishna Raghavani

Frequently asked questions

What does HUNT3R-T: Autonomous Threat Hunter with Digital Twin do?
HUNT3R-T is an autonomous threat hunting agent that eliminates the 197-day breach detection gap. Unlike current tools that alert humans and wait, HUNT3R-T hunts actively, simulates attacker paths in a digital twin, and pre-emptively neutralizes threats — all in under 4 minutes with zero human intervention. Key differentiators: • Autonomous hunting: No alert required. The agent searches for threats across SIEM, EDR, and threat intel simultaneously. • Digital twin simulation: Every response is battle-tested in a parallel universe before touching production. • Explainable autonomy: Full causal chain for every action — no black boxes, no compliance risk. • Temporal reconstruction: Reconstructs attack timeline to find patient zero and predict next moves. Result: 197 days of attacker dwell time → 4 minutes. Not faster response. Prevention. Built with NitroStack MCP architecture for hackathon deployment.
Who built HUNT3R-T: Autonomous Threat Hunter with Digital Twin?
HUNT3R-T: Autonomous Threat Hunter with Digital Twin was built by team Neos at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon, in the Open Innovation track.
What is an MCP app and how is it built?
An MCP app is an application built on the Model Context Protocol — an open standard that lets AI agents connect to tools, data, and APIs. This project exposes MCP tools and resources that agentic AI systems can call. It was built and deployed on NitroStack, the full-stack platform for shipping MCP apps and servers.