Security &
Asset Protection
EORMC employs a multi-layer AI-powered security architecture combining MPC/HSM technology, behavioral anomaly detection, and transparent reserve verification to safeguard every user's assets.
Integrated Smart Trading & Risk Control
By continuously sensing market conditions and user behavior in real time, AI dynamically optimizes execution and activates protective measures before risks materialize.
Adaptive Order Execution
AI dynamically optimizes execution paths for spot and derivatives orders. In extreme market conditions, adaptive matching and risk-control mechanisms activate automatically, significantly reducing slippage.
Anti-Manipulation System
In subscription and new listing processes, AI integrates anti-bot models, fair queuing algorithms, and information disclosure frameworks to prevent market manipulation.
Greeks & On-Chain Monitoring
The system monitors Greek exposures and on-chain capital flows in real time, implementing early warnings and flexible rate limits for potential portfolio risks across all products.
Pre-Incident Interception
Behavioral graph algorithms analyze account operations and on-chain activity across scenarios, accurately identifying anomalous patterns — shifting from post-incident investigation to pre-incident interception.
Multi-Layer Security Stack
EORMC deeply integrates AI with MPC/HSM multi-layer security technologies to build an intelligent wallet and asset management system.
MPC / HSM Cryptographic Layer
Multi-Party Computation (MPC) and Hardware Security Modules (HSM) protect private keys with zero single points of failure. No single entity — including EORMC — can unilaterally access user funds.
AI-Driven Hot/Cold Tiering
AI dynamically adjusts asset hot-cold tiering and withdrawal verification strategies based on market volatility and user behavior — automatically elevating security levels without user intervention.
Behavioral Graph Detection
Cross-scenario analysis of account operations and on-chain activity identifies account hijacking, fraud, and other anomalous patterns with high precision and speed.
Intelligent Withdrawal Verification
Multi-factor verification with AI risk scoring on each withdrawal request. High-risk transactions trigger enhanced verification and human review queues automatically.
Protection Metrics
Proof of Reserves
EORMC launched its AI-driven Transparent Proof of Reserves system in July 2024, subject to independent third-party audit.
Automated Reserve Reports
The AI system automatically generates verifiable asset reserve reports, providing real-time visibility into the ratio between user funds held and platform assets.
On-Chain Address Monitoring
Real-time monitoring of on-chain address changes and abnormal capital flows, with automatic alerts for any deviations from expected reserve patterns.
Third-Party Audit
Independent authorized firms conduct regular audits of EORMC's reserve system. Audit results and key AI decision logs are made available to users in auditable form.
Reserve Funds
EORMC maintains a reserve fund of 3,000 BTC as part of its user protection framework, complementing the full-reserve proof system.
Digital Asset Screening Standards
EORMC's AI-powered screening system evaluates every listed asset across multiple dimensions to protect investors from low-quality projects.
Multi-Dimensional AI Evaluation
Machine learning models assess each project across technical feasibility, team background, community ecosystem, and on-chain data performance before any listing decision is made.
Continuous Post-Listing Monitoring
After listing, EORMC's AI system continuously tracks market performance and on-chain dynamics — monitoring trading patterns, liquidity changes, and community sentiment to identify emerging risks.
Automatic Risk Alerts
Upon detecting abnormalities, the system automatically triggers warning mechanisms and places suspicious assets on an intelligent monitoring list — providing investors with timely protective alerts.
Cross-Platform Risk Sync
EORMC has established data sharing channels with professional rating agencies, enabling efficient cross-platform synchronization of risk information to maximize collective intelligence.