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The Week in Cyber Security and Data Privacy: 26 February – 3 March 2024

IT Governance

The threat actor, KryptonZambie, has provided a sample of 100,000 records. We also found 7 organisations providing a significant update on a previously disclosed incident. Source (New) Engineering Japan Yes >5 TB Array Networks Source (New) Cyber security USA Yes 2.5 The claim is yet to be verified. EasyPark data breach: 21.1

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Wireless Security: WEP, WPA, WPA2 and WPA3 Explained

eSecurity Planet

Wireless security is the protection of wireless networks, devices and data from unwanted access and breaches. Wireless security is critical because these networks are subject to eavesdropping, interception, data theft, denial of services ( DoS ) assaults, and malware infestations. What is Wireless Security?

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How to Prevent Data Breaches: Data Breach Prevention Tips

eSecurity Planet

And breaches will occur – because bad guys make a living by figuring out ways to circumvent security best practices. Prioritize Data Protection The downfall of many security strategies is that they become too general and too thinly spread. But it requires different levels of security.

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6 Best Threat Intelligence Feeds to Use in 2023

eSecurity Planet

Here are our picks for the top threat intelligence feeds that security teams should consider adding to their defensive arsenal: AlienVault Open Threat Exchange: Best for community-driven threat feeds FBI InfraGard: Best for critical infrastructure security abuse.ch

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IoT Cybersecurity: 5 Major Vulnerabilities and How to Tackle Them

Security Affairs

While this means more convenience and improved services, it also creates more opportunities for cybercriminals. A hacker managed to identify a weak spot in a security camera model. One of the examples relates to the default settings users get when starting to use a new service. The Flaws in Manufacturing Process.

IoT 129
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Foundational models at the edge

IBM Big Data Hub

With the increasing importance of processing data where work is being performed, serving AI models at the enterprise edge enables near-real-time predictions, while abiding by data sovereignty and privacy requirements. Serving AI models at the edge enables near-real-time predictions while abiding by data sovereignty and privacy requirements.

Cloud 85
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The most valuable AI use cases for business

IBM Big Data Hub

Customer-facing AI use cases Deliver superior customer service Customers can now be assisted in real time with conversational AI. Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed.