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Open Banking Concept

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Creating an <strong>Open</strong> <strong>Banking</strong> Framework for Canada<br />

(e.g., regarding data privacy and security). Certain<br />

elements that concern the data generators’ and<br />

data recipients’ relationship (e.g., method and<br />

terms of cost recovery, liability) would be defined<br />

by a standardized contract with some flexibility to<br />

accommodate the unique circumstances of the datasharing<br />

arrangement. [SH(-T13]<br />

The intended “use case” of data is a hotly debated topic<br />

in other jurisdictions with more advanced <strong>Open</strong> <strong>Banking</strong><br />

systems. Including use case as a criteria would be helpful<br />

in protecting consumers from malicious actors; however,<br />

it may limit the scope of third party providers with novel<br />

business models, potentially limiting innovation in the<br />

marketplace.<br />

2. Bilateral commercial agreements (between data<br />

generators and data recipients): Both access to the<br />

ecosystem and specific elements would be defined<br />

through one-on-one agreements between data<br />

generators and data recipients, where parties have<br />

complete flexibility to negotiate the terms of the<br />

agreement.<br />

A commonly agreed-upon accreditation framework would<br />

simplify the process of gaining access to data, ultimately<br />

allowing more third parties to participate in the <strong>Open</strong><br />

<strong>Banking</strong> ecosystem. However, it would be less flexible<br />

to changes in marketplace dynamics, and would require<br />

continuous updating in order to accurately reflect the<br />

broader environment in Canada. Commercial agreements<br />

would more rapidly adapt to changing conditions, but<br />

may limit the efficiency of the system (e.g., financial data<br />

aggregators would be required to negotiate individual<br />

bilateral contracts with every financial institution<br />

participating in <strong>Open</strong> <strong>Banking</strong> as a data generator).<br />

If a central-accreditation-based system is selected, criteria<br />

observed in other jurisdictions could serve as inspiration for<br />

a Canadian system. Some of these criteria could include:<br />

..<br />

Security and privacy protocols: to ensure that sensitive<br />

personal and financial data is responsibly managed,<br />

and that data recipients are not introducing undue<br />

security risks to the system.<br />

..<br />

Indemnity insurance: to provide data generators with<br />

some reasonable certainty that data recipients will be<br />

able to pay out if a liability issue occurs.<br />

..<br />

Defined customer complaint management process:<br />

to provide customers with some reasonable certainty<br />

that accredited third parties will be able to support<br />

them in case of any issue.<br />

..<br />

Defined mitigation measures for material disruptions:<br />

to ensure appropriate protocols are in place in the<br />

event of system failures, security breaches and other<br />

blockages to continuity<br />

How should liability be managed?<br />

Generally, <strong>Open</strong> <strong>Banking</strong> should decrease total risk in<br />

the system by reducing the need for customers to share<br />

their banking credentials with screen scrapers to benefit<br />

from services that require their financial data. However,<br />

it may result in a shift of liability from customers (who are<br />

in breach of their contract with banks by screen scraping)<br />

to other participants in the system. As a result, a clearly<br />

defined liability framework is critical to the development of<br />

an <strong>Open</strong> <strong>Banking</strong> framework that garners buy-in from data<br />

generators and data recipients alike.<br />

However, the liability framework is highly contingent on<br />

a variety of other framework choices; included below are<br />

several principles that may be helpful in guiding its design:<br />

..<br />

Liability for data in general should be designed<br />

to be compatible with other existing relevant<br />

regulations (e.g., PIPEDA), not supersede them. This<br />

prevents the development of overlapping/conflicting<br />

requirements, ensuring that all participants<br />

have a common understanding of the roles and<br />

responsibilities of each player; additionally:<br />

..<br />

For unintentional data breaches, liability<br />

should be assigned to the party responsible<br />

for the breach itself (the data recipient in the<br />

vast majority of cases). The data recipient<br />

should have adequate liability coverage for<br />

data breaches, and any accreditation program<br />

for data recipients should include both a<br />

security standard and a liability coverage<br />

standard. This will raise customer trust in<br />

<strong>Open</strong> <strong>Banking</strong>, even after a hypothetical data<br />

breach incident occurs.<br />

..<br />

For companies intentionally misusing<br />

customer data (e.g. malicious actors acquiring<br />

accreditation), liability should be assigned to<br />

the body that a) granted that accreditation<br />

and/or b) extended that accreditation most<br />

recently.<br />

13 .

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