Anti-Money Laundering and Counter-Terrorism Financing policies for Neostox AI platform compliance and security.
Neostox AI maintains a comprehensive Anti-Money Laundering (AML) and Counter-Terrorism Financing (CTF) program designed to detect and prevent illicit financial activities on our AI-powered cryptocurrency options trading platform.
Our AML program complies with applicable international standards, regulatory requirements, and best practices in the cryptocurrency and financial services industry.
We are committed to preventing our platform from being used for money laundering, terrorist financing, sanctions evasion, or other illegal activities while maintaining the privacy and security of legitimate users.
All users must complete our comprehensive KYC verification process before accessing our trading platform:
Government-issued photo identification, proof of address, and biometric verification to confirm user identity and prevent identity theft.
Additional verification for high-risk customers, politically exposed persons (PEPs), and users from high-risk jurisdictions.
Documentation and verification of the legitimate source of funds used for cryptocurrency trading activities.
Continuous monitoring of user activities and periodic review of customer information to detect suspicious patterns or changes.
| Verification Tier | Requirements | Trading Limits |
|---|---|---|
| Basic | Email + Phone | Limited access |
| Standard | ID + Address verification | Standard limits |
| Enhanced | Full EDD + Source of funds | Higher limits |
We employ advanced monitoring systems to detect and report suspicious activities:
Machine learning algorithms analyze transaction patterns, user behavior, and market data to identify potentially suspicious activities in real-time.
Automated risk assessment systems assign risk scores to transactions and users based on multiple factors including geography, transaction size, and historical patterns.
Detection of unusual trading patterns, structuring attempts, rapid movement of funds, and other indicators of potential money laundering.
Immediate alerts for high-risk transactions, enabling prompt investigation and potential blocking of suspicious activities.
Integration with blockchain analytics tools to trace cryptocurrency flows and identify connections to known illicit addresses.
Automated generation of suspicious activity reports (SARs) and other regulatory filings as required by applicable jurisdictions.
Neostox AI maintains comprehensive sanctions screening procedures to comply with international sanctions regimes:
When suspicious activities are detected, we follow established reporting procedures:
| Report Type | Trigger Criteria | Timeline | Recipients |
|---|---|---|---|
| Suspicious Activity Report (SAR) | Unusual patterns, large transactions, suspected ML | Within 30 days | Financial Intelligence Units |
| Currency Transaction Report (CTR) | Large cash equivalent transactions | Within 15 days | Regulatory authorities |
| OFAC Violation Report | Sanctions screening hits | Immediately | OFAC, law enforcement |
| Cyber Crime Report | Hacking, fraud, cyber attacks | Within 24 hours | Cyber crime units |
All suspicious activity reports are prepared in accordance with applicable regulatory requirements and include detailed transaction information, customer data, and analysis of suspicious patterns. We maintain strict confidentiality of reported activities and cooperate fully with regulatory investigations.
Neostox AI maintains comprehensive records in accordance with AML regulations:
All Neostox AI personnel receive comprehensive AML training and ongoing education:
All employees must complete mandatory AML training within 30 days of hire and annually thereafter. Training completion is tracked and documented, and failure to complete required training may result in restricted access to systems or disciplinary action.
We maintain a comprehensive risk assessment framework to identify and mitigate ML/TF risks:
Assessment of money laundering and terrorist financing risks associated with different countries and jurisdictions.
Key Risk Factors:
Evaluation of individual customer risk profiles based on various demographic and behavioral factors.
Key Risk Factors:
Analysis of inherent risks associated with different cryptocurrency products and services offered.
Key Risk Factors:
Assessment of risks related to different delivery channels and transaction methods used by customers.
Key Risk Factors:
Real-time evaluation of individual transaction risks based on multiple dynamic factors.
Key Risk Factors:
Continuous monitoring and assessment of new and evolving money laundering threats.
Key Risk Factors:
Our risk assessment framework is reviewed and updated annually or when significant changes occur in our business model, regulatory environment, or threat landscape. Regular risk assessments ensure our AML controls remain effective and proportionate to identified risks.
Strong governance and oversight ensure the effectiveness of our AML program:
For AML-related inquiries, compliance matters, or suspicious activity reporting:
For urgent suspicious activity reporting or potential sanctions violations, contact our 24/7 emergency hotline immediately. Do not delay reporting time-sensitive compliance matters.
These AML Policies were last updated on September 6, 2025
Policies are reviewed annually and updated as needed to reflect regulatory changes.
Our compliance team is available 24/7 to assist with AML matters, suspicious activity reporting, and regulatory compliance questions.