InfluencerRate
AI-Driven Influencer Discovery and Fraud Detection for High-ROI Marketing Campaigns
Kount, an Equifax company, is a leader in digital identity trust and fraud prevention. In 2026, its architecture is centered around the Identity Trust Global Network, a massive data pool analyzing billions of interactions to distinguish between legitimate customers and fraudulent actors in real-time. The platform utilizes advanced unsupervised and supervised machine learning models to generate the 'Omniscore,' a multi-dimensional risk rating that evaluates transactions across hundreds of variables in milliseconds. Unlike traditional rules-based systems, Kount’s AI adapts to emerging fraud patterns, such as sophisticated bot attacks and account takeover (ATO) attempts. Its 2026 market position is bolstered by deep integration with Equifax's credit and identity assets, providing businesses with a comprehensive view of the customer lifecycle—from account creation to payment and post-purchase disputes. The technical stack is designed for high-scale enterprise environments, offering sub-250ms latency and robust API-first connectivity, ensuring that fraud friction does not impede the user experience while maintaining a high barrier against evolving cyber threats.
An AI-calculated risk score (0-99) derived from billions of data points in the Identity Trust Global Network.
AI-Driven Influencer Discovery and Fraud Detection for High-ROI Marketing Campaigns
AI-Powered Fraud Detection and Audience Authenticity Auditing for Influencer Marketing.
The gold standard for high-volume audit data analysis and automated risk detection.
Advanced AI-driven creator auditing and predictive engagement analytics for the modern MarTech stack.
Verified feedback from the global deployment network.
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Advanced browser and device fingerprinting that identifies proxy piercing, VPN usage, and emulators.
A low-code interface for building complex logic gates and transaction routing based on AI scores.
Analyzes email age, domain reputation, and historical usage across the network.
Automated ingestion of chargeback data to improve future machine learning models.
Uses AI to link disparate data points (phone, email, IP) into a single cohesive customer persona.
Real-time behavioral analysis to distinguish human interactions from automated scripts.
High-demand product launches being targeted by bots, leading to inventory depletion and customer dissatisfaction.
Registry Updated:2/7/2026
Redirect suspicious traffic to a CAPTCHA or additional verification step.
Fraudsters using credential stuffing to gain access to customer accounts and drain loyalty points.
Legitimate international customers being blocked by rigid traditional fraud rules.