Passionate About Making the Financial Economy Accessible, Safe and Equitable.
Yes! 2Pay Solutions has the most robust BSA/AML Compliance Program in the U.S., custom tailored to the industry. 2Pay Solutions BSA/AML Compliance Program has been reviewed/approved by the FDIC, the NCUA, our partner financial institutions, government agencies who have issued our money transmitter licenses and our third-party compliance auditors.
Read more2Pay shares all information needed by its financial institution partners to satisfy their BSA/AML and KYC obligations, including 2Pay's onboarding due diligence information, 2Pay's periodic on-site inspection reports, and monthly transaction volume reports, etc.
Read moreArtificial Intelligence and Blockchain: 3 Major Benefits Of Combining These Two Mega-Trends:
1. AI and encryption work very well together:
Data held on a blockchain is by its nature highly secure, thanks to the cryptography which is inherent in its filing system.
What this means is that blockchains are ideal for storing the highly sensitive, personal data which, when smartly processed, can unlock so much value and convenience in our lives. Think of smart healthcare systems that make accurate diagnoses based on our medical scans and records, or even simply the recommendation engines used by Amazon or Netflix to suggest what we might like to buy or watch next.
Of course, the data which is fed into these systems (after being collected from us as we browse or interact with services) is highly personal. The businesses that deal in it must put up large amounts of money to meet the standards expected of them in terms of data security. And even so, large-scale data breaches leading to the loss of personal data are increasingly common (and increasingly large!).
Blockchain databases hold their information in an encrypted state. This means that only the private keys must be kept safe – a few kilobytes of data – in order for all of the data on the chain to be secure.
AI has plenty to bring to the table in terms of security, too. An emerging field of AI is concerned with building algorithms which are capable of working with (processing, or operating with) data while it is still in an encrypted state. As any part of a data process which involves exposing unencrypted data represents a security risk, reducing these incidents could help to make things much safer.
2. Blockchain can help us track, understand and explain decisions made by AI
Decisions made by AIs can sometimes be hard for humans to understand. This is because they are capable of assessing a large number of variables independently of each other and “learning” which ones are important to the overall task it is trying to achieve.
As an example, AI algorithms are expected to increasingly be used in making decisions about whether financial transactions are fraudulent, and should be blocked or investigated.
For some time though, it will still be necessary to have these decisions audited for accuracy by humans. And given the huge amount of data that can be taken into consideration, this can be a complex task. Walmart, for example, feeds a months’ worth of transactional data across all of its stores into its AI systems which make decisions on what products should be stocked, and where.
If decisions are recorded, on a datapoint-by-datapoint basis, on a blockchain, it makes it far simpler for them to be audited, with the confidence that the record has not been tampered with between the information being recorded and the start of the audit process.
No matter how clearly we can see that AI offers huge advantages in many fields, if it isn’t trusted by the public, then its usefulness will be severely limited. Recording the decision-making process on blockchains could be a step towards achieving the level of transparency and insight into robot minds that will be needed in order to gain public trust.
3. AI can manage blockchains more efficiently than humans (or "stupid" conventional computers)
Traditionally, computers have been very fast, but very stupid. Without explicit instructions on how to perform a task, computers can’t get them done. This means that, due to their encrypted nature, operating with blockchain data on “stupid” computers requires large amounts of computer processing power. As an example, the hashing algorithms used to mine blocks on the blockchain take a “brute force” approach – effectively trying every combination of characters until they find one which fits to verify a transaction.
AI is an attempt to move away from this brute force approach, and manage tasks in a more intelligent, thoughtful manner. Consider how a human expert on cracking codes will, if they are good, become better and more efficient at code-breaking as they successfully crack more and more codes throughout their career. A machine learning-powered mining algorithm would tackle its job in a similar way – although rather than having to take a lifetime to become an expert, it could almost instantaneously sharpen its skills, if it is fed the right training data.
Clearly, blockchain and AI are two technological trends which, while ground-breaking in their own rights, have the potential to become even more revolutionary when put together. Both serve to enhance the capabilities of the other, while also offering opportunities for better oversight and accountability.
Anti-money laundering (AML) and know your customer (KYC) practices have a strong potential for being adapted to the blockchain. Currently, financial institutions must perform a labor intensive multi-step process for each new customer. KYC costs could be reduced through cross-institution client verification, and at the same time increase monitoring and analysis effectiveness.
2Pay has an AML/KYC solution that involves analyzing transactions. Those transactions identified as being suspicious are forwarded on to compliance officers using AI.
API is the acronym for Application Programming Interface, which is a software intermediary that allows two applications to talk to each other.
Read more