Ai Everything MEA Egypt 2026 to Address AI Use in Cybersecurity
Ai Everything MEA Egypt 2026 to Address AI Use in Cybersecurity
Publish Date: 2026-02-03 04:16:00
Source Domain: www.moroccoworldnews.com
Mohammedia – Ai Everything MEA Egypt 2026 will take place in Cairo on February 11 and 12, with organizers expecting participation from technology companies, government bodies, and businesses from more than 60 countries.
With GITEX GLOBAL at the helm, in partnership with Egypt’s Ministry of Communications and Information Technology, in partnership with the Information Technology Industry Development Agency (ITIDA), the event will bring together public and private sector stakeholders to examine the deployment of AI across enterprise systems and national digital infrastructure.
Cybersecurity forms part of the broader scope of the event, which addresses the use of AI across digital infrastructure, including data protection and network security.
AI systems are commonly used to scan large data sets, identify patterns, and flag unusual activity. In many cases, AI tools operate in the background of software systems already used by companies and public institutions.
As more services move online, AI is increasingly used to support digital security. AI-based systems monitor network activity and flag irregular behavior that may indicate unauthorized access or disruption. The ability to process large amounts of data quickly allows security teams to respond more efficiently than manual review methods.
Read also: Egypt Government Centers AI Agenda with Inaugural AI Everything Summit
In the financial sector, AI-supported security systems are widely used to monitor transactions, identify fraud, and protect customer accounts. Banks and payment providers rely on automated tools to review activity across digital platforms, particularly as mobile and online payments continue to grow. These systems are also used to support compliance with data protection rules and financial crime regulations.
AI is also used to support identity verification and access control, including systems that detect unusual login behavior or attempts to bypass authentication mechanisms.
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