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The Big Risks In Big Data For Fintech Companies

SecureBlitz

In this post, I will show you the big risks in Big Data for Fintech companies. These innovative companies have moved the once legacy world of banking into new […] The post The Big Risks In Big Data For Fintech Companies appeared first on SecureBlitz Cybersecurity.

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3 tips to reducing big data compliance risks

Tech Republic Security

Don't let big data compliance risks take you by surprise. Here are three steps to take today to ease your big data compliance concerns.

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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.

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Why big data leaders must worry about IoT security

Tech Republic Security

The security risks associated with IoT devices cannot be ignored. If your big data plans include IoT devices, follow these four steps to reduce your chances of a security breach.

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Top 5 Risks of Artificial Intelligence

IT Security Guru

Through AI-enabled systems, different industries have been able to minimize human error and automate repetitive processes and tasks while smoothly handling big data. Despite AI’s countless benefits, it also comes with some risks that each user should be aware of.

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Three Strategies for Big Data Security

Thales Cloud Protection & Licensing

The 2018 Thales Data Threat Report (DTR) has great information on Big Data use and security. We surveyed more than 1,200 senior security executives from around the world, and virtually all (99%) report they plan to use Big Data this year. Top Big Data Security Concerns. Big Data is unstructured.

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Protecting Big Data, while Preserving Analytical Agility

Thales Cloud Protection & Licensing

The age of Big Data is upon us. And, as more data is available for analytical purposes, more sensitive and private information is at risk. Protecting the confidentiality and integrity and of warehoused data and ensuring that access is controlled is vital to keeping that data secure. respondents.”.