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What due diligence procedures should financial institutions in Guatemala follow to know their clients?
Financial institutions must establish due diligence procedures that include identification and verification of customer identity, assessment of risks associated with the business relationship, and ongoing monitoring of customer activity.
How is due diligence carried out in technology park development projects in Colombia, considering digital infrastructure, attracting investments and collaboration with educational institutions?
Due diligence in technology park development projects in Colombia involves evaluating the available digital infrastructure, the ability to attract investments and collaboration with educational institutions to promote the training of technological talent. This ensures that technology parks are conducive environments for innovation and sustainable technological development.
Do KYC requirements apply to all bank accounts in Guatemala, including personal and business accounts?
Yes, KYC requirements apply to both personal accounts and business accounts in Guatemala. Financial institutions must verify the identity of account holders and beneficial owners in the case of commercial accounts.
What is the legal framework for electronic transactions and digital payments in Colombia?
Electronic transactions and digital payments in Colombia are regulated by the Electronic Commerce Law and other related regulations. These laws establish the requirements and obligations for companies and digital payment service providers, including transaction security, consumer protection, data privacy, and the legal validity of electronic operations.
How is employee privacy protected in relation to personal information and sensitive data in Ecuador?
The protection of employee privacy in Ecuador is supported by laws that regulate the collection and handling of personal information and sensitive data in the workplace.
What advanced technologies are used in the prevention of money laundering in Mexico?
Mexico has adopted advanced technologies such as data analytics, machine learning and artificial intelligence to identify money laundering patterns in financial transactions. These tools help detect suspicious activities more efficiently.
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