CHATAKE INNOWORKS PRIVATE LIMITED · MINDFORGEAI

AI Deception System — working research laboratory

Run controlled honeypot scenarios, analyse the sample dataset, trigger a canary, inspect server-computed scores and save your findings.

Open working application   Evaluator & usage guide   Full engineering report   Sample dataset

Controlled synthetic telemetry · on-demand inference · seven-day lab evidence · student authorship retained

Cybersecurity · MindforgeAI Internship 1.0

CyberDecoy AI

Cybersecurity deception, honeypot telemetry and explainable threat detection.

Project direction

Engineering with a defined boundary.

A cybersecurity project exploring cyber deception and intelligent threat-detection systems.

  • Cybersecurity
  • Deception
  • Threat Detection

Technology record

Observed project evidence.

Technology and capability statements remain bounded by the evidence record. No undisclosed data source, model service or operational deployment is implied.

  • Python
  • JavaScript
  • Dockerfile
  • Docker Compose

Public-release boundary

Evidence-led engineering record

Public source confidence: brochure_and_registration_confirmed. Personal data, private repositories, project diaries, credentials, model files, logs and internal working materials are excluded from this static release by default.