In today’s world, both government and the private sectors are struggling to provide a secure, efficient, timely, and separate means of delivering essential services internationally. Additionally, machine learning boasts as a new era that provides opportunities to secure, improve, and automate the delivery of timely and separate essential services internationally. BUT like most technology, there are risks associated with expanding the machine learning systems within our organizations. The use of machine learning on sensitive information, such as financial data, shopping histories, conversations with friends, health-related data, and critical national infrastructure systems has expanded in the past five years – and, as a result, so has the research on vulnerabilities within those machine learning systems and these systems remain at risk from potential attacks via the Internet.

It is the policy of the United States to prevent or minimize disruptions to the critical national information infrastructure in order to protect the public, the economy, government services, and the national security of the United States.The Federal Government is continually increasing capabilities to address cyber risk associated with critical networks and information systems.

https://www.forbes.com/sites/forbestechcouncil/201…

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