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

Security Affairs

Traditional methods of anonymizing data, such as masking and pseudonymization, have been proven inadequate in preventing re-identification attacks. Data privacy has been enhanced by differential privacy (DP), which preserves analytical utility while protecting data privacy.

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Making the Metaverse Safe For Everyone

Security Boulevard

Technology-enabled shopping, banking and working from any location made the restrictions from COVID-19 more manageable. We are also getting a hint of the power that big data, AI and machine learning will. The post Making the Metaverse Safe For Everyone appeared first on Security Boulevard.

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NEW TECH: How ‘cryptographic splitting’ bakes-in security at a ‘protect-the-data-itself’ level

The Last Watchdog

Here are key takeaways: Security benefits Protect the data itself. Yet in the age of Big Data and digital transformation many organizations still don’t do this very well. Equifax lost data for 148 million citizens. For a full drill down, give a listen to the accompanying podcast. Sounds simple enough.

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Best Encryption Software for 2022

eSecurity Planet

“The second reason is store now decrypt later (SNDL) attacks when a bad actor intercepts encrypted data and stores it until they have the computing power to break it.”. In other words, encrypted data stolen now won’t be safe forever. Protection for data in use, at rest, in the cloud, and in analytics.

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Analytics Insight Announces ‘The 10 Most Influential CISOs to Watch in 2021’

CyberSecurity Insiders

They also explore many fronts starting from cybersecurity to data privacy and information security with the goal to protect and maintain the security of the organization and help them stay ahead of common dangers. Previously, Tony has managed, integrated, and deployed secure electronic payment transaction systems at major banks.

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Top Cybersecurity Trends for 2017

Spinone

It’s also necessary for businesses to balance data privacy and security against trust and transparency, potentially investing more into security training and monitoring than attempting to avoid security threats. This is likely to have serious consequences in terms of consumer confidence and all online transactions going forward.

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IoT and Cybersecurity: What’s the Future?

Security Affairs

It is easy to forget that our data will probably be warehoused and crunched by an external multi-million dollar data warehousing and analysis company, not the friendly, trustworthy folks at the customer service center. Big Data storage systems have weaknesses. Start Asking Questions About Data Privacy and Security.

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