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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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China setting up data traps says UK

CyberSecurity Insiders

Speaking the same in an interview on Radio 4, Mr. Moore said that the Xi Jinping led nation was conducting espionage through its home-made products like CCTV equipment, smart phones, IoT devices that are being used on a global note. The post China setting up data traps says UK appeared first on Cybersecurity Insiders.

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Data Privacy Week 2023: Privacy Gains Power From Other Societal Forces

Security Boulevard

As the conversation around privacy progresses beyond a focus on security infrastructure and best practices for preventing data breaches, regulations are working to catch up. Enable data permissions that usefully anticipate the user's intentions.

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Cybersecurity Outlook 2022: Third-party, Ransomware and AI Attacks Will Get Worse

eSecurity Planet

Third-party security, ransomware , artificial intelligence (AI) and decentralized finance (DeFi) are some of the threats you can expect to see more of this year – with the potential for far worse results than we’ve seen in the past. Also read: The State of Blockchain Applications in Cybersecurity.

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What’s in the NIST Privacy Framework 1.1?

Centraleyes

Enhanced Support for NIST Frameworks Integration Stakeholders need improved support in integrating NIST frameworks and resources, particularly in privacy, cybersecurity, AI, and the Internet of Things (IoT). On the other hand, privacy risk concerns protecting individuals’ data and ensuring compliance with privacy regulations.

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Top 18 Cybersecurity Startups to Watch in 2021

eSecurity Planet

As attack methodologies evolve due to AI, machine learning and nation-state hackers , security startups are receiving a lot of funding to develop products that can secure application access for remote workers , provide real-time visibility into cyber attacks and protect data as it travels from the cloud to IoT devices.

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34 Most Common Types of Network Security Protections

eSecurity Planet

With faster response times, a more centralized platform, and artificial intelligence-powered workflows, many companies select XDR tools to optimize or go beyond what their SIEM and UEBA tools can do. Unlike EDR, NDR focuses less on actual devices and more on network traffic behavior analysis via packet data.