Find Canadian Social Insurance Number

Canada’s social insurance number (SIN) was created in 1964 to serve as a client account number in the
administration of the Canada Pension Plan and Canada’s varied employment insurance programs. In 1967,
Revenue Canada (now the Canada Revenue Agency) started using the SIN for tax reporting purposes. Today,
SINs are issued by Human Resources and Social Development Canada. The SIN is formatted as three groups
of three digits (e.g., 123-456-789).

Through functionality creep, the SIN has become a national identification number, in much the same way
that the Social Security Number has in the United States. However, unlike in the US, in Canada there
are specific legislated purposes for which a SIN can be requested. Examples of organizations that legitimately
require a SIN include employers, banks and investment companies, and federal government agencies. As
a result of these uses, SINs are considered sensitive and targeted by data thieves. To prevent data
loss, Spirion finds and protects Canadian Social Insurance Numbers.

Spirion first starts with deep, deep data analysis. When Spirion comes
across data that could potentially be a match, it applies proprietary validation techniques
our data experts have developed after extensive data analysis to determine whether the data is likely
to be a Canadian Social Insurance Number. For example, Canadian SINs must adhere to the Luhn Algorithm.
Spirion’s techniques are updated every month with new information to increase accuracy.

Beyond deep data analysis, Spirion also performs contextual analysis to increase
the accuracy of returning relevant information. By performing contextual analysis, Spirion can
ascertain whether the data is being referred to in a way that would also indicate it is relevant to
an end user. Finally, Spirion puts all of this power into the hands of the user. Although the
software supports defaults that have been configured by our data analytic experts, users may tune the
sensitivity of the search and cater it to the unique data set they are searching within their own internal
environment.