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Direction (12 - 19) -: Read the given passage carefully and answer the questions that follow. Certain words are printed in bold to help you locate them while answering some of the questions.
Privacy issues sit at the forefront of online activity, business actions, and government decisions. This is largely in response to the breaches, scandals, and personal data leaks that have eroded confidence in technology and information systems.
A recent report to the US President on a Cybersecurity Moonshot says that privacy is a crucial component of cybersecurity and that we must flip the narrative to restore the trust Americans place in information systems. To achieve this, by 2028, Americans need to be “guaranteed” that technological advancements will no longer threaten privacy but will instead enhance privacy assurance through the safety and security of their personal data.
One critical element in future technology advancements and online security is the increased development of artificial intelligence (AI). However, privacy principles must be considered early on in the AI development process to balance technological benefits while preserving privacy. A 2019 survey, which was conducted from March 2019 through April 2019, showed that over 40% of privacy compliance technology will rely on AI by 2023, up from 5% in 2019.
The result is that privacy leaders are under pressure to ensure that all personal data processed is brought in scope and under control, which is difficult and expensive to manage without technology aid.
In fact, it is these very considerations that are driving enterprise leaders to act and adapt AI. Speed, scale and automation are the key reasons why AI has become attractive for businesses and customers, said Ben Hartwig, the chief security officer at InfoTracer. The quantity of data that AI can raise is bigger than what human analysts are capable of. This is the only way to process big data in a reasonable time frame. “One of the reasons why privacy is a big concern here is the fact that people are not familiar with the measures they can use to protect it even if there are some principles that can help with protecting ourselves,” he said.
With data being the lifeblood of the modern enterprise, having solid data protection strategies is not a “nice to have” but a need to have. Especially with laws like General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and the more recent Washington Privacy Act, it’s more critical than ever for IT teams to have a clear understanding of the organizations’ backup and recovery plan. What can IT teams do to curb the impact and confusion that AI is having on data protection and privacy strategies?
Privacy issues sit at the forefront of online activity, business actions, and government decisions. This is largely in response to the breaches, scandals, and personal data leaks that have eroded confidence in technology and information systems.
A recent report to the US President on a Cybersecurity Moonshot says that privacy is a crucial component of cybersecurity and that we must flip the narrative to restore the trust Americans place in information systems. To achieve this, by 2028, Americans need to be “guaranteed” that technological advancements will no longer threaten privacy but will instead enhance privacy assurance through the safety and security of their personal data.
One critical element in future technology advancements and online security is the increased development of artificial intelligence (AI). However, privacy principles must be considered early on in the AI development process to balance technological benefits while preserving privacy. A 2019 survey, which was conducted from March 2019 through April 2019, showed that over 40% of privacy compliance technology will rely on AI by 2023, up from 5% in 2019.
The result is that privacy leaders are under pressure to ensure that all personal data processed is brought in scope and under control, which is difficult and expensive to manage without technology aid.
In fact, it is these very considerations that are driving enterprise leaders to act and adapt AI. Speed, scale and automation are the key reasons why AI has become attractive for businesses and customers, said Ben Hartwig, the chief security officer at InfoTracer. The quantity of data that AI can raise is bigger than what human analysts are capable of. This is the only way to process big data in a reasonable time frame. “One of the reasons why privacy is a big concern here is the fact that people are not familiar with the measures they can use to protect it even if there are some principles that can help with protecting ourselves,” he said.
With data being the lifeblood of the modern enterprise, having solid data protection strategies is not a “nice to have” but a need to have. Especially with laws like General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and the more recent Washington Privacy Act, it’s more critical than ever for IT teams to have a clear understanding of the organizations’ backup and recovery plan. What can IT teams do to curb the impact and confusion that AI is having on data protection and privacy strategies?
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