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Zuckerberg Meets Japan PM in Tokyo to Discuss AI

FILE PHOTO: Meta's CEO Mark Zuckerberg attends a Senate Judiciary Committee hearing at the US Capitol in Washington, US, January 31, 2024. REUTERS/Evelyn Hockstein/File Photo
FILE PHOTO: Meta's CEO Mark Zuckerberg attends a Senate Judiciary Committee hearing at the US Capitol in Washington, US, January 31, 2024. REUTERS/Evelyn Hockstein/File Photo
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Zuckerberg Meets Japan PM in Tokyo to Discuss AI

FILE PHOTO: Meta's CEO Mark Zuckerberg attends a Senate Judiciary Committee hearing at the US Capitol in Washington, US, January 31, 2024. REUTERS/Evelyn Hockstein/File Photo
FILE PHOTO: Meta's CEO Mark Zuckerberg attends a Senate Judiciary Committee hearing at the US Capitol in Washington, US, January 31, 2024. REUTERS/Evelyn Hockstein/File Photo

Meta Platforms Chief Executive Mark Zuckerberg discussed artificial intelligence issues with Japanese Prime Minister Fumio Kishida on Tuesday during the Facebook founder's trip through Asia.
"We had a good, productive conversation about AI and the future of technology," Zuckerberg said in brief comments to reporters at the prime minister's residence in Tokyo. He left without taking questions.
The meeting followed reports that Zuckerberg would visit South Korea at the end of this month to discuss AI with Samsung Electronics chairman, Jay Y. Lee, and possibly meet South Korean President Yoon Suk Yeol.
Meta, the operator of Facebook, last week confirmed Zuckerberg was planning to visit South Korea.
Japan's government and corporate sector are racing to catch up in AI development. In the past year, Kishida has met with OpenAI CEO Sam Altman and Nvidia CEO Jensen Huang to discuss AI regulation and infrastructure.

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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)
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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.