Cyber fraud operations have grown increasingly covert and cross-jurisdictional, with a sharp surge in deepfake-enabled scams in recent years. Conventional forensic and intelligence tools operate in silos: device-only analysis or isolated government intelligence workflows fail to untangle complex cross-border fraud fund trails, significantly slowing case resolution and ongoing risk mitigation efforts.   This unified cross-sector anti-fraud platform delivers end-to-end digital risk governance for global law enforcement agencies, financial institutions, telecom carriers, internet service providers, and virtual asset regulators. Built to streamline threat investigation, simplify complex case workflows, and enable continuous anti-fraud operations, it unifies compliant data repositories and multi-dimensional analytics within one environment. The platform consolidates threat detection, fund tracing, cross-agency collaboration, and end-user threat alert capabilities to mitigate both legacy fraud schemes and emerging digital deception threats.         Multi-source Compliant Risk Data Foundation The platform aggregates lawfully archived case records and cross-industry threat intelligence, centralizing all fraud-related datasets to build scenario-specific risk libraries. It auto-generates risk entity profiles and cross-references multi-source data to rapidly detect evolving fraud tactics, forecast threat proliferation, and uncover hidden criminal networks, delivering continuously refreshed data for investigative review.   End-to-End Multi-dimensional Threat Investigation It unifies five core data streams — network, communication, capital, logistics, and personnel — for integrated analysis. The system auto-assembles fragmented evidence to reconstruct full fraud timelines and capital movement trails. It clusters connected cases, identifies criminal syndicates, and untangles layered deceptive schemes, overcoming limitations of single-layer analysis to cut manual review overhead and streamline complex cross-fraud investigations.   Cross-sector Collaborative Threat Governance It establishes a cross-agency collaborative prevention framework to eliminate industry-wide data silos, enabling shared threat intelligence, synchronized early warnings, and joint investigative response. Standardized risk management workflows streamline inter-agency coordination, accelerating overall anti-fraud response times and operational execution efficiency.   Full-scenario Endpoint Protection Ecosystem Built on a two-tier backend-frontend architecture: the backend equips investigators with case analysis, field inspection, and risk oversight tools; the mobile frontend offers citizens lightweight functions including scam alerts, device security scans, and suspicious incident reporting. This dual-layer framework balances professional investigative workflows with public self-protection, enabling tiered anti-fraud deployment across all user groups.   Full-chain Virtual Asset Tracing Addressing regulatory challenges of anonymous crypto transfers and cross-chain fund obfuscation, the platform parses data across multiple public blockchains, mainstream digital assets, exchange platforms, and on-chain transactions. It traces obscured capital flows and reconstructs complete illicit fund movement trails, resolving longstanding industry obstacles in tracing, evidence collection, and case adjudication for crypto-related fraud.   AI-Generated Deception Detection Engine Countering scams perpetrated via AI-fabricated images, synthetic videos, and cloned audio, the integrated multimodal AI verification engine accurately identifies forged visual and audio content. It also verifies whether social conversation counterparts are AI digital humans and outputs quantifiable risk assessments. Compatible with diverse business scenarios and flexible deployment architectures, the solution scales seamlessly to block emerging AI-powered cyber fraud at scale.    

  The public security large model boasts powerful capabilities including case analysis and reasoning, law enforcement intent recognition, command and dispatch, case research and judgment reasoning, intelligence analysis and early warning, legal regulation retrieval, and report generation for public security business scenarios. It can continuously learn from massive business data.         Verified through extensive application Our AI large model product suite is in operation across more than 30 provinces and municipalities in China.   Ultra-Large Parameter Base Trillion-level parameter base with 128K ultra-long context window, enabling in-depth parsing, full-text comprehension and global semantic analysis of massive ultra-long texts.   Full-Domain Command & Dispatch Recognizes 68 types of law enforcement intentions, accesses tools and public security big data, realizes integrated collaborative business scheduling.  

  A specialized software solution for standardized financial data collection. It extracts and converts financial data including inventory, fixed assets, payroll and transaction records from financial systems into a unified standard format.         Broad Coverage Supports data collection from over 600 types and 3,000+ versions of financial software worldwide, and performs automatic analysis of financial data from databases including Oracle, SQL Server, DB2 and SAP HANA.   data security Collected data is protected by dual encryption, providing both content-level encryption and full package encryption.    

  The Facial Recognition & Analysis System is a fully proprietary, self-developed integrated hardware-software appliance. It features core capabilities including face detection, attribute recognition, 1:1 verification, and 1:N search. With high accuracy in complex scenes, the system supports retrieval in cluster mode and delivers high-concurrency, sub-second response, reliably meeting personnel management needs across diverse and demanding scenarios.          High Accuracy in Complex Scenarios Excellent generalization and robustness in challenging scenarios such as beauty filters, sunglasses and low-pixel images.    Precise Recognition Delivers accurate matching and successfully identifies persons with an age gap of over 20 years between archive photos and live images captured.