Abstract: The disclosed computer-implemented method for enabling multi-factor authentication for seamless website logins may include (1) generating a numerical sequence utilized for authenticating a user for multi-factor authentication on a website, (2) detecting user login credentials for initiating a multi-factor authentication session on the website, (3) receiving, in response to the user login credentials, a request for multi-factor authentication data associated with the numerical sequence from the website, (4) retrieving, utilizing an application programming interface (API), the multi-factor authentication data from a secure storage associated with the user, and (5) providing, utilizing the API, the multi-factor authentication data to the website to login the user. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method for anonymizing user accounts may include (i) receiving an instruction to anonymize a user account to protect a user's personally identifiable information, (ii) accessing, by a security program, a settings portal for the user account in response to receiving the instruction to anonymize the user account, (iii) replacing, by the security program, original values within at least two fields within the settings portal for the user account with anonymized values to mask the user's personally identifiable information, and (iv) storing the anonymized values within a protected vault to enable the user to login to the user account. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method for detecting unauthorized data shares may include (1) providing a user of an anonymized inbox with an email alias to use for a particular online entity, (2) identifying one or more emails sent to the email alias from one or more different entities that are different from the particular online entity, (3) determining, based on the one or more emails having been sent by the different entities, that the particular online entity has shared the user's email alias with other entities, and (4) creating a privacy score for the particular online entity based at least in part on the determination that the particular online entity has shared the user's email alias with other entities. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method for detecting unauthorized data shares may include (1) providing a user of an anonymized inbox with an email alias to use for a particular online entity, (2) identifying one or more emails sent to the email alias from one or more different entities that are different from the particular online entity, (3) determining, based on the one or more emails having been sent by the different entities, that the particular online entity has shared the user's email alias with other entities, and (4) creating a privacy score for the particular online entity based at least in part on the determination that the particular online entity has shared the user's email alias with other entities. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method for anonymizing user accounts may include (i) receiving an instruction to anonymize a user account to protect a user's personally identifiable information, (ii) accessing, by a security program, a settings portal for the user account in response to receiving the instruction to anonymize the user account, (iii) replacing, by the security program, original values within at least two fields within the settings portal for the user account with anonymized values to mask the user's personally identifiable information, and (iv) storing the anonymized values within a protected vault to enable the user to login to the user account. Various other methods, systems, and computer-readable media are also disclosed.