Allure Security Technology

Identifies newly registered domains and subdomains used for phishing, counterfeiting, and brand impersonation across the internet. Uses AI models trained on brand-specific fraud patterns to detect malicious domains within hours of registration.

Continuously monitors dark web marketplaces and forums for counterfeit goods, stolen credentials, and brand-related illegal activity. Provides alerts when products matching the brand are listed for sale on hidden networks.

Analyzes patterns in detected fraud to identify emerging threats, seasonal trends, and evolving counterfeiting tactics. Generates executive reports on fraud landscape, threat evolution, and recommended mitigation strategies.

Integrates customer fraud reports and complaints into the monitoring system for investigation and prioritization. Automatically triages incoming reports to identify high-priority threats and coordinate response.

Monitors for unauthorized use of brand assets, trademark infringement, and competitive counterfeiting. Tracks how competitors or bad actors are leveraging the brand's reputation and intellectual property.

Scans social media platforms, messaging apps, and social commerce channels for unauthorized sellers, counterfeit product listings, and fraudulent brand accounts. Detects impersonation across Instagram, TikTok, Facebook, WhatsApp and similar platforms.

Generates and submits takedown notices to hosting providers, domain registrars, and marketplace platforms with direct partnerships. Achieves removal of fraudulent content within hours rather than days through automated workflows.

Analyzes fraud indicators and threat communications across multiple languages and regional variations. Detects counterfeit operations and phishing campaigns regardless of language used, with support for Asian, European, and other language markets.

Customizes AI fraud detection models using brand-specific historical data, product catalogs, and known fraud patterns. Creates proprietary models that understand the unique characteristics of a brand's counterfeit ecosystem.

Uses computer vision to identify counterfeit products by analyzing product images, packaging, logos, and physical characteristics. Compares uploaded images against known authentic products to detect fakes with high accuracy.

Identifies relationships and networks between fraudulent sellers across multiple platforms and channels. Maps organizational structures of counterfeiting operations to identify key players and supply chains.

Continuously monitors major e-commerce platforms (Amazon, eBay, Alibaba, etc.) for unauthorized sellers and counterfeit listings. Sends real-time alerts when suspicious products matching the brand are listed.

Identifies phishing campaigns targeting the brand's customers, employees, or partners. Detects fake login pages, credential harvesting sites, and social engineering attacks impersonating the brand.