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The Role of Differential Privacy in Protecting Sensitive Information in the Era of Artificial Intelligence

Security Affairs

Rising privacy concerns with Artificial Intelligence have paved the way for secure, ethical, and efficient data analysis. Using AI, organizations increasingly rely on data analytics to extract context from vast amounts of information. Concerns over privacy breaches require robust mechanisms to safeguard sensitive user data.

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Emergency Surveillance During COVID-19 Crisis

Schneier on Security

With that in mind, the EFF has some good thinking on how to balance public safety with civil liberties: Thus, any data collection and digital monitoring of potential carriers of COVID-19 should take into consideration and commit to these principles: Privacy intrusions must be necessary and proportionate. Transparency. Due Process.

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Chinese threat actors extract big data and sell it on the dark web

SC Magazine

Among the incidents data stolen by Chinese hackers involved a Twitter database. Researchers on Monday reported that cybercriminals are taking advantage of China’s push to become a leader in big data by extracting legitimate big data sources and selling the stolen data on the Chinese-language dark web.

Big data 100
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GUEST ESSAY: California pioneers privacy law at state level; VA, VT, CO, NJ take steps to follow

The Last Watchdog

News of data breaches, data vulnerabilities and compromised private information is released almost daily from businesses both small and large. Legislation has recently been proposed for individual states, addressing data privacy regulations head-on. Related: Europe’s GDPR ushers in new privacy era. If the U.S.

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MY TAKE: Why monetizing data lakes will require applying ‘attribute-based’ access rules to encryption

The Last Watchdog

The amount of data in the world topped an astounding 59 zetabytes in 2020, much of it pooling in data lakes. We’ve barely scratched the surface of applying artificial intelligence and advanced data analytics to the raw data collecting in these gargantuan cloud-storage structures erected by Amazon, Microsoft and Google.

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Cyber Security Combo: Big Data, Machine Learning and AI

Spinone

While the potential of Big Data is vast, it might lag behind as a standalone tool to deal with hackers due to the enormous volume of data to analyze. There is a huge difference between raw data collected and meaningful insights that can benefit enterprises in their attempt to prevent cyber attacks.

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GUEST ESSAY: Here’s why managed security services — MSS and MSSP — are catching on

The Last Watchdog

An MSSP can assist with data collection and report generation to establish compliance during audits or in the aftermath of a possible incident. It’s worth noting that there are a few: •Cybersecurity breaches may originate from the vendor, putting the host company’s information at risk. Digital Transformation.

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