Security systems / anti-cheat infrastructure
SentinelAC
AI-assisted anti-cheat and detection infrastructure for multiplayer game environments.
SentinelAC combines telemetry collection, heuristic detection, backend enforcement, and machine-learning experimentation through AI Internal-Cheat Detection (AIICD). The work spans client/server security assumptions, event pipelines, false-positive tradeoffs, and other detection workflows.
Node 01
Game telemetry
Node 02
Detection services
Node 03
AIICD analysis
Node 04
Operator review
Pattern detection systems
AIICD machine-learning experiments
Review and moderation workflow
Tech Stack
Engineering Challenges
Designing detection rules that catch cheats while respecting false-positive risk.
Coordinating telemetry, backend state, and enforcement paths across services.
Making security logic easy and configurable for operators to use.
Impact / Scale
Built as a serious security engineering project, not a toy demo: the system emphasizes detection infrastructure, reviewability, and scalable operations.
Screenshots / Video Slots
Detection dashboard screenshot
AIICD experiment capture
Operator review flow video