Fraud Detection

Fraud has evolved. Bot networks, fake engagement, bought likes, and inorganic spikes distort every metric. Rule-based detection is a game of whack-a-mole - adversaries adapt. Audience authenticity is uncertain. Sponsored content mixes with organic in ways that obscure true performance. The result: you're optimizing for fake signals, wasting budget on inorganic audiences, and making decisions on corrupted data.

Dark data from posting patterns, engagement velocity, and growth curves rarely feeds a unified integrity model. Without vector-space representation and causal analysis of what "organic" behavior looks like, rule thresholds are easily gamed. The Integrity Layer that should sit alongside the Psychographic Layer - scoring authenticity and reliability for the decision layer - is absent in most stacks; you're left with binary flags and manual review.

Sentient OS applies deterministic protection: behavioral vectors and Pattern Recognition surface anomalies that rules miss, so the decision layer can reallocate or pause in real time.

Sentient OS Integrity Layer applies vector-space anomaly detection to fraud. Social Reliability Index captures posting consistency, engagement stability, sponsored ratio - unmasking inorganic spikes and bought likes. Audience Authenticity Score identifies bot networks, comment quality, growth patterns. Steady 2.7%/month growth flags manipulation. Behavioral vectors reveal anomalies that rules miss. Your investment protected by mathematics, not heuristics.

The 5-Layer Architecture ingests creator and audience data through the Sensor and Translator layers; behavioral vectors and growth dynamics feed the Integrity Layer and Pattern Recognition layer. The Logic Engine consumes authenticity and reliability scores so the decision layer receives deterministic risk signals - not just rules. Command Center modules can filter shortlists and reallocate budget based on these scores.

Deterministic execution means every creator vetting and spend decision can factor in integrity; dark data from engagement and growth is activated into a single decision layer that protects your investment.

The Integrity Layer is the shield. Sentient does not just detect fraud - it prevents fraud from distorting every other module. Integrity scores propagate across Performance Forecasting, Conversion Modeling, and Strategic Guidance so recommendations are never built on inorganic data.