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Netskope Predicts Future Middle East Cybersecurity Trends
Experts from Netskope contemplate what’s on the horizon for phishing, ransomware, and other security threats as we approach 2023.
Netskope, a global Secure Access Service Edge (SASE) leader, has just revealed the results of its annual investigation into the state of cybersecurity in the Middle East as 2022 comes to an end.
In a region that’s digitizing at a rapid rate, Netskope anticipates several new trends in cyber attacker behavior, as well as a rise in software supply chain attacks and various other cloud vulnerabilities.
“Similar to how we have done this in years past, we have sourced these predictions from across our team of internal experts; our global and regional CIOs, CISOs, CTOs, and the specialists in our Threat Labs. Some of these predictions touch on topics that you may have seen discussed this year, considering how they will evolve, while others feature technologies and dynamics that may be completely new on the radar of Middle Eastern organizations for 2023,” says Jonathan Mepsted, VP for Netskope, Middle East and Africa.
So, what kinds of cyber threats do we expect to see intensifying in 2023? For starters, ransomware and extortion-style scams will be more prolific than ever. In addition, confidential and highly sensitive data will become vulnerable to sophisticated encryption attacks from professional extortion groups such as LAPSUS$ and RansomHouse.
Also Read: How To Find The Best Remote Work Opportunities In The Middle East
As well as a rise in well-known online hacks and scams, Netskope believes that software supply chain attacks will also intensify — especially as we become more accepting of the concept of the “industrial metaverse”. Supply chain automation and optimization are on the rise, but bring a set of unique challenges for security experts.
This year, to be better prepared for emerging trends and threat models, Netskope’s NewEdge infrastructure added five new data centers in the Middle East region, supporting businesses across a wide range of sectors, including finance, telecom, and energy.
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UAE-Built Falcon-H1 Arabic Leads LLM Benchmarks
The lean Emirati-built language model beats larger global systems and puts Arabic at the center of training.
Abu Dhabi’s Technology Innovation Institute has released an Arabic-first large language model that tops global test boards, an uncommon edge for a region long served by English-centric systems.
Falcon-H1 Arabic comes in 3B, 7B and 34B versions. The flagship posts 75.36% accuracy on comprehensive Arabic tasks and ranks first on the Open Arabic LLM Leaderboard. It also outperforms Meta’s Llama-70B and Alibaba’s Qwen-72B while using less than half their parameters. The smallest model beats Microsoft’s Phi-4 Mini by ten percentage points on equivalent benchmarks.
Arabic remains hard territory for AI. Flexible word order, dense morphology and constant switching between regional dialects and Modern Standard Arabic leave many global models missing context or tone. Academic research has pointed to a shortage of annotated datasets for dialect and informal speech. The impact shows up in classrooms, call centers and government portals where Arabic chatbots lag their English counterparts.
TII trained Falcon-H1 Arabic on formal writing, dialects and culturally grounded content. Beyond scores, it handles practical use: long conversations, reasoning rather than literal translation, and inputs of up to 192,000 words — enough for medical records or legal filings.
“The aim is innovation that is accessible, relevant, and impactful,” said Faisal Al Bannai, Adviser to the UAE President and Secretary-General of the Advanced Technology Research Council.
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Arabic is spoken by more than 450 million people across over 20 countries, yet has often been treated as a secondary language for foundation models. The UAE move signals a push to flip that logic and build Arabic-native stacks rather than wait for global systems to improve.
Falcon models have led their categories since 2023. With H1 Arabic, TII is offering free access via chat.falconllm.tii.ae for developers, media, healthcare and public-sector users looking to automate in natural Arabic.
As the region continues to invest in sovereign computing and data localization, the addition of Falcon-H1 Arabic adds a powerful tool built for the native language, instead of an afterthought attached to an English-trained system.
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