Amazon Responsible for Hazardous Products Sold by Third-party Sellers on Platform

FILE PHOTO: The logo of Amazon is seen at the company logistics center in Boves, France, May 13, 2019. REUTERS/Pascal Rossignol/File Photo
FILE PHOTO: The logo of Amazon is seen at the company logistics center in Boves, France, May 13, 2019. REUTERS/Pascal Rossignol/File Photo
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Amazon Responsible for Hazardous Products Sold by Third-party Sellers on Platform

FILE PHOTO: The logo of Amazon is seen at the company logistics center in Boves, France, May 13, 2019. REUTERS/Pascal Rossignol/File Photo
FILE PHOTO: The logo of Amazon is seen at the company logistics center in Boves, France, May 13, 2019. REUTERS/Pascal Rossignol/File Photo

Amazon.com is responsible under federal safety law for hazardous products sold by third-party sellers on its platform and bears legal responsibility for their recall, the US Consumer Product Safety Commission (CPSC) said on Tuesday.

The agency said it has issued an order for Amazon to propose remediation plans to notify consumers about the hazardous products and to remove them from consumers' homes by encouraging returns or destruction, Reuters reported.

More than 400,000 products are subject to this order, the CPSC said, noting in particular faulty carbon monoxide detectors, hairdryers without electrocution protection, and children's sleepwear that violated federal flammability standards.

Amazon was a "distributor" of such defective products as they are listed on their website and sold by third-party sellers under the "Fulfilled by Amazon" program, the agency said.



Paris Olympics Expected to Face 4 Billion Cyber Incidents

A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
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Paris Olympics Expected to Face 4 Billion Cyber Incidents

A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)

As the Paris 2024 Olympic Games approach, cybersecurity officials are bracing for over 4 billion cyber incidents. They are setting up a new centralized cybersecurity center for the Games, supported by advanced intelligence teams and artificial intelligence (AI) models.

Eric Greffier, the technical director for Paris 2024 at Cisco France, told Asharq Al-Awsat that the Tokyo 2020 Games saw around 450 million cyber incidents. He added that the number of incidents expected for Paris is at least ten times higher, requiring a more efficient response.

Greffier explained that a single cybersecurity center allows for better coordination and a faster response to incidents.

This approach has proven effective in other areas, such as banking and the NFL, where his company also handles cybersecurity, he added.

The Extended Detection and Response (XDR) system is central to the company’s security strategy.

Greffier described it as a “comprehensive dashboard” that gathers data from various sources, links events, and automates threat responses.

It offers a complete view of cybersecurity and helps manage threats proactively, he affirmed.

The system covers all aspects of the Olympic Games’ digital security, from network and cloud protection to application security and end-user safety.

In cybersecurity, AI is vital for managing large amounts of data and spotting potential threats. Greffier noted that with 4 billion expected incidents, filtering out irrelevant data is crucial.

The Olympic cybersecurity center uses AI and machine learning to automate threat responses, letting analysts focus on real issues, he explained.

One example is a network analytics tool that monitors traffic to find unusual patterns.

Greffier said that by creating models of normal behavior, the system can detect anomalies that might indicate a potential attack. While this might generate false alarms, it helps ensure that unusual activity is flagged for further review.