India Antitrust Body Denies Google's Allegation it Copied EU's Android Order

FILE PHOTO: The logo of Google is pictured during the Viva Tech start-up and technology summit in Paris, France, May 25, 2018. REUTERS/Charles Platiau
FILE PHOTO: The logo of Google is pictured during the Viva Tech start-up and technology summit in Paris, France, May 25, 2018. REUTERS/Charles Platiau
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India Antitrust Body Denies Google's Allegation it Copied EU's Android Order

FILE PHOTO: The logo of Google is pictured during the Viva Tech start-up and technology summit in Paris, France, May 25, 2018. REUTERS/Charles Platiau
FILE PHOTO: The logo of Google is pictured during the Viva Tech start-up and technology summit in Paris, France, May 25, 2018. REUTERS/Charles Platiau

India's competition regulator on Thursday denied allegations by Google that investigators copied parts of a European order while ruling against the US firm for abusing the market dominance of its Android platform.

"We have not cut, copy and paste," N Venkataraman, a government lawyer representing the Competition Commission of India (CCI), told the top court.

The comments came at a hearing in India's Supreme Court, where Google is seeking to block the CCI ruling, Reuters said.

The body fined Alphabet Inc-owned Google $161 million for exploiting its dominant position in Android, which powers 97% of smartphones in India, and asked it to change restrictions imposed on smartphone makers related to pre-installing apps.

Google had challenged the directive saying it would hurt consumers and also its business, warning the growth of the Android ecosystem will stall if the far-reaching measures were to be implemented.



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.