• Rules/Neural Network based solutions generate a large number of false positives.
• Rules/Neural Network based solutions require constant management.
• Any solutions based on rules or neural networks are outdated as soon as they are released due to the rule’s/neural network's inherit lack of ability to adapt to new schemes.
• Rules/Neural Network based solutions require AML experts dedicated to writing and maintaining rules and retraining of the neural networks with new data.

• Account activity: speed, volume, anonymity
• Comparisons between similar entities
• Change in circumstance
• Financial activity inconsistent with occupation
• Frequency of reaching ATM withdrawals
• Deposits to personal accounts (day, week, year)
• Reactivation of dormant accounts
• Inflow and outflow
• Link analysis
• Cash deposits followed by outbound wires
• Multiple cash deposits under the reporting limit
• Transactions in areas of concern

• Receiving funds from multiple unrelated parties
• Deposits at multiple bank branches
• Use of multiple accounts
• Use of multiple personal and business accounts
• Total amount/number of transactions
• Amount and count by each party
• Amount over a time period (day, week, year)
• Foreign customers
• Movement of funds through risk countries.
• Signer relationship
• Charities
• Etc.

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