Saudi Delegation Discusses Technology and Innovation Partnerships with US Companies

The Saudi digital economy, space and innovation delegation has held meetings with US technology companies. SPA
The Saudi digital economy, space and innovation delegation has held meetings with US technology companies. SPA
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Saudi Delegation Discusses Technology and Innovation Partnerships with US Companies

The Saudi digital economy, space and innovation delegation has held meetings with US technology companies. SPA
The Saudi digital economy, space and innovation delegation has held meetings with US technology companies. SPA

The Saudi digital economy, space and innovation delegation has held meetings with US technology companies to foster partnerships for advancing the digital economy and enhancing innovation in the Kingdom.

The delegation is headed by Minister of Communications and Information Technology (CIT) Eng. Abdullah bin Amer Al-Swaha.
During the visit to Silicon Valley, Al-Swaha met with Databricks CEO Ali Ghodsi to explore cutting-edge business solutions leveraging data and artificial intelligence (AI), as well as investment opportunities in the Kingdom.
Deputy Minister of CIT Eng. Haytham AlOhali engaged in discussions with the leadership team of NVIDIA to explore avenues for research and innovation in deep technologies, while maximizing the economic and social value through AI.

AlOhali also met with Salesforce President and Chief Product Officer David Schmaier to explore partnership opportunities in solutions and software to support innovative business solutions.



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.