SpamGuard is a military-grade Natural Language Processing (NLP) security engine designed to detect and neutralize SMS phishing (smishing) attacks in real-time.
Built on probabilistic machine learning, it prioritizes a Zero-Trust Architecture—meaning it catches threats without ever blocking a legitimate message (100% Precision).
Visualizing the threat neutralization pipeline:
graph LR
A[📲 Incoming SMS] -->|Raw Text| B(Noise Reduction Layer)
B -->|Tokenization| C{Feature Extraction}
C -->|TF-IDF Vector| D[Probabilistic Engine]
D -->|Calculate Odds| E{Threat Analysis}
E -- 'Spam' --> F[🚫 BLOCKED]
E -- 'Ham' --> G[✅ DELIVERED]
style F fill:#c31432,stroke:#240b36,stroke-width:2px,color:#fff
style D fill:#240b36,stroke:#c31432,stroke-width:2px,color:#fff