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Personal Privacy

How to Improve Data Privacy at the Border

The Infinite Brief
With the advent of artificial intelligence and machine learning, there are now many new tools available to help border control agencies identify potential criminals and predict criminal cargo shipping activity.

However, for each step forward, we should be wary of the impact to personal privacy. The data used to fuel these new systems could be vulnerable to data breaches and other types of hostile hijackings.

The fact that machine learning uses massive amounts of data raises the question about how the data—which is likely to include sensitive information like bank records and criminal histories—is amassed and stored.

To prevent unauthorized users from accessing private data, tools used by customs agents should have security design principles such as “deny by default” and “least privilege” built into their systemic DNA so that data is secure and used only for its intended purpose

There are four ways this can be achieved: microsegmentation, multifactor authentication, resilience and the use of human analysts.

Originally via Nextgov

With the advent of artificial intelligence and machine learning, there are now many new tools available to help border control agencies identify potential criminals and predict criminal cargo shipping activity.

See the original article at https://www.nextgov.com/ideas/2018/05/how-boost-border-security-while-protecting-privacy/148288/

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