Overview

The Content Detection Csaba Engine identifies whether digital content - including text and images - was created by a human or generated by an AI system.

The engine uses a hybrid detection methodology that combines metadata analysis, content fingerprinting, and multimodal AI classification to evaluate content origin. Detection results include confidence scores and explainability data, enabling administrators to understand the basis for each classification decision.

Key Capabilities

• Detect AI-generated text and images across commonly used file formats

• Analyze metadata patterns and content fingerprints to identify synthetic indicators

• Enforce organizational content integrity policies based on detection outcomes

• Classify content using multimodal AI models, with explainable outputs (planned for a future release)