logo
UAE: Yalla Group reports revenue of $83.9mln in Q1 2025

UAE: Yalla Group reports revenue of $83.9mln in Q1 2025

Zawya20-05-2025

Yalla Group Limited, the largest Middle East and North Africa (MENA)-based online social networking and gaming company, today announced its unaudited financial results for the first quarter of the fiscal year 2025, ending on 31st March.
The company reported quarterly revenue of AED308.2 million (US$83.9 million), a 6.5 percent increase compared to the same period last year.
Net income for the quarter rose to AED133.7 million (US$36.4 million), marking a 17 percent year-over-year increase.
On a non-GAAP basis, net income reached AED143.6 million (US$39.1 million), up 10.9 percent from the same quarter in 2024, with a non-GAAP net margin of 46.6 percent.
Average Monthly Active Users (MAUs) grew to 44.6 million, a 17.9 percent increase from 37.8 million in the corresponding period last year, underscoring the continued expansion and engagement of Yalla's user base across the region.
Speaking on the occasion, Yang Tao, Founder, Chairman and Chief Executive Officer of Yalla, said, 'We kicked off 2025 with a strong and promising first quarter. Despite seasonal factors such as Ramadan, we outperformed expectations, reflecting the resilience of our business model and the effectiveness of our long-term growth strategy.
"Our steadfast commitment to enhancing user experience, improving operational efficiency, and deepening engagement across our platforms has contributed to healthy momentum. The improvements we've made to user acquisition and gamification are driving higher retention and increasing the value we deliver to our user base.'
Tao highlighted that expanding the application of artificial intelligence technologies to analyse user behavior and manage data has significantly enhanced decision-making efficiency.
He concluded, 'Building on the continued success of our platforms and the company's ongoing development, we are leveraging this growth momentum to increase the value we deliver. We are committed to achieving sustainable returns for our shareholders and strengthening our leadership in the regional digital communication and entertainment sector.'
For his part, Saifi Ismail, Group President at Yalla Group, said, 'We are very pleased with the strong operational results achieved this quarter, especially given the seasonal impact of Ramadan. The impressive growth in monthly active users, driven organically and without additional marketing spend, highlights the effectiveness of our product strategy and the growing strength of our brand across the region. This performance validates our focus on scalable, efficient growth and reinforces the solid foundation we've built for continued expansion.'
"As the global economy adjusts to shifting macroeconomic dynamics, the MENA region stands out for its digital readiness, something which aligns well with our long-term strategy. We are particularly proud of the progress we've made in AI deployment, notably in our proprietary content moderation platform, which now leads the region in recognition speed and accuracy."
He added, "As we look to the future, we are committed to driving sustainable, high-quality growth through product innovation, operational excellence, and enhanced user experience. Our continued investment in AI and data analytics is enabling smarter decision-making and greater agility in responding to market trends. These capabilities, combined with our strong regional positioning and scalable platform, put us in an excellent position to continue delivering value to both our users and shareholders.'

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Best photos of June 6: From D-Day landings anniversary to Eid Al Adha
Best photos of June 6: From D-Day landings anniversary to Eid Al Adha

The National

time42 minutes ago

  • The National

Best photos of June 6: From D-Day landings anniversary to Eid Al Adha

What is THAAD? It is considered to be the US's most superior missile defence system. Production: It was created in 2008. Speed: THAAD missiles can travel at over Mach 8, so fast that it is hypersonic. Abilities: THAAD is designed to take out ballistic missiles as they are on their downward trajectory towards their target, otherwise known as the "terminal phase". Purpose: To protect high-value strategic sites, such as airfields or population centres. Range: THAAD can target projectiles inside and outside the Earth's atmosphere, at an altitude of 150 kilometres above the Earth's surface. Creators: Lockheed Martin was originally granted the contract to develop the system in 1992. Defence company Raytheon sub-contracts to develop other major parts of the system, such as ground-based radar. UAE and THAAD: In 2011, the UAE became the first country outside of the US to buy two THAAD missile defence systems. It then stationed them in 2016, becoming the first Gulf country to do so.

UAE businesses confident of international trade growth despite tariff woes
UAE businesses confident of international trade growth despite tariff woes

Arabian Business

timean hour ago

  • Arabian Business

UAE businesses confident of international trade growth despite tariff woes

Businesses in the UAE remain highly confident in their international trade prospects, with 94 per cent saying they expect to grow cross-border trade in the near future, according to HSBC's 2025 Global Trade Pulse Survey. Despite ongoing uncertainty and cost headwinds from tariffs, UAE firms are leaning into enhanced planning and digital solutions to stay ahead. The HSBC survey offers insight into the business plans and sentiment of more than 5,700 international firms across 13 markets regarding tariffs and trade. UAE business optimism It reveals that two thirds of corporations globally have already experienced cost increases due to tariff and trade uncertainty – and the worst may be yet to come. In contrast, companies in the UAE are incredibly optimistic about their future international trade prospects, as they have not suffered particularly pronounced impacts on cost yet, though they do expect to in the short-and-long-term. Deyana Cherneva, Head of Global Trade Solutions, Middle East North Africa and Türkiye, HSBC Bank Middle East said: 'Corporates in the UAE have their counter strategies ready in response to the rapidly evolving trade landscape. Using data, investing in supply chains, and increasing reliance on the Middle East, China, and Europe corridors, are part of their plans. 'Geopolitical and geoeconomic shifts have been a mainstay across decades and resilient businesses know how to adapt and respond. What is encouraging to see is that 75 per cent of corporates in the UAE plan to use the trade uncertainty as an opportunity to evolve and explore new opportunities.' Key findings include: The United Arab Emirates' proactive approach is also reflected in increased regional trade ties. 62 per cent of surveyed UAE firms say they are ramping up reliance on the Middle East, followed by China (47 per cent) and Europe (43 per cent).

Artificial Intelligence in cybersecurity: savior or saboteur?
Artificial Intelligence in cybersecurity: savior or saboteur?

Khaleej Times

time5 hours ago

  • Khaleej Times

Artificial Intelligence in cybersecurity: savior or saboteur?

Artificial intelligence has rapidly emerged as both a cornerstone of innovation and a ticking time bomb in the realm of cybersecurity. Once viewed predominantly as a force for good, enabling smarter threat detection, automating incident responses, and predicting attacks before they happen — AI has now taken on a double-edged role. The very capabilities that make it invaluable to cybersecurity professionals are now being exploited by cybercriminals to launch faster, more convincing, and more damaging attacks. From phishing emails indistinguishable from real business correspondence to deepfake videos that impersonate CEOs and public figures with chilling accuracy, AI is arming attackers with tools that were previously the stuff of science fiction. And as large language models (LLMs), generative AI, and deep learning evolve, the tactics used by bad actors are becoming more scalable, precise, and difficult to detect. 'The threat landscape is fundamentally shifting,' says Sergey Lozhkin, Head of the Global Research & Analysis Team for the Middle East, Türkiye, and Africa at Kaspersky. 'From the outset, cybercriminals began using large language models to craft highly convincing phishing emails. Poor grammar and awkward phrasing — once dead giveaways are disappearing. Today's scams can perfectly mimic tone, structure, and professional language.' But the misuse doesn't stop at email. Attackers are now using AI to create fake websites, generate deceptive images, and even produce deepfake audio and video to impersonate trusted figures. In some cases, these tactics have tricked victims into transferring large sums of money or divulging sensitive data. According to Roland Daccache, Senior Manager – Sales Engineering at CrowdStrike MEA, AI is now being used across the entire attack chain. 'Generative models are fueling more convincing phishing lures, deepfake-based social engineering, and faster malware creation. For example, DPRK-nexus adversary Famous Chollima used genAI to create fake LinkedIn profiles and résumé content to infiltrate organisations as IT workers. In another case, attackers used AI-generated voice and video deepfakes to impersonate executives for high-value business email compromise (BEC) schemes.' The cybercrime community is also openly discussing how to weaponize LLMs for writing exploits, shell commands, and malware scripts on dark web forums, further lowering the barrier of entry for would-be hackers. This democratisation of hacking tools means that even novice cybercriminals can now orchestrate sophisticated attacks with minimal effort. Ronghui Gu, Co-Founder of CertiK, a leading blockchain cybersecurity firm, highlights how AI is empowering attackers to scale and personalize their strategies. 'AI-generated phishing that mirrors human tone, deepfake technology for social engineering, and adaptive tools that bypass detection are allowing even low-skill threat actors to act with precision. For advanced groups, AI brings greater automation and effectiveness.' On the technical front, Janne Hirvimies, Chief Technology Officer of QuantumGate, notes a growing use of AI in reconnaissance and brute-force tactics. 'Threat actors use AI to automate phishing, conduct rapid data scraping, and craft malware that adapts in real time. Techniques like reinforcement learning are being explored for lateral movement and exploit optimisation, making attacks faster and more adaptive.' Fortifying Cyber Defenses To outsmart AI-enabled attackers, enterprises must embed AI not just as a support mechanism, but as a central system in their cybersecurity strategy. 'AI has been a core part of our operations for over two decades,' says Lozhkin. 'Without it, security operations center (SOC) analysts can be overwhelmed by alert fatigue and miss critical threats.' Kaspersky's approach focuses on AI-powered alert triage and prioritisation through advanced machine learning, which filters noise and surfaces the most pressing threats. 'It's not just about automation — it's about augmentation,' Lozhkin explains. 'Our AI Technology Research Centre ensures we pair this power with human oversight. That combination of cutting-edge analytics and skilled professionals enables us to detect over 450,000 malicious objects every day.' But the AI evolution doesn't stop at smarter alerts. According to Daccache, the next frontier is agentic AI — a system that can autonomously detect, analyze, and respond to threats in real time. 'Traditional automation tools can only go so far,' Daccache says. 'What's needed is AI that thinks and acts — what we call agentic capabilities. This transforms AI from a passive observer into a frontline responder.' CrowdStrike's Charlotte AI, integrated within its Falcon platform, embodies this vision. It understands security telemetry in context, prioritises critical incidents, and initiates immediate countermeasures, reducing analyst workload and eliminating delays during high-stakes incidents. 'That's what gives defenders the speed and consistency needed to combat fast-moving, AI-enabled threats,' Daccache adds. Gu believes AI's strength lies in its ability to analyze massive volumes of data and identify nuanced threat patterns that traditional tools overlook. 'AI-powered threat detection doesn't replace human decision-making — it amplifies it,' Gu explains. 'With intelligent triage and dynamic anomaly detection, AI reduces response time and makes threat detection more proactive.' He also stresses the importance of training AI models on real-world, diverse datasets to ensure adaptability. 'The threat landscape is not static. Your AI defenses shouldn't be either,' Gu adds. At the core of any robust AI integration strategy lies data — lots of it. Hirvimies advocates for deploying machine learning models across SIEM (Security Information and Event Management) and SOAR (Security Orchestration, Automation, and Response) platforms. 'These systems can correlate real-time threat intelligence, behavioral anomalies, and system events to deliver faster, more precise responses,' he says. 'Especially when it comes to detecting novel or stealthy attack patterns, machine learning makes the difference between catching a threat and becoming a headline.' Balancing Innovation with Integrity While AI can supercharge threat detection, response times, and threat simulations, it also brings with it the potential for misuse, collateral damage, and the erosion of privacy. 'Ethical AI use demands transparency, clear boundaries, and responsible data handling,' says Lozhkin.'Organisations must also ensure that employees are properly trained in the safe use of AI tools to avoid misuse or unintended exposure to threats.' He highlights Kaspersky's Automated Security Awareness Platform, which now includes dedicated sections on AI-assisted threats and responsible usage, reflecting the company's commitment to proactive education. When AI is deployed in red teaming or simulated cyberattacks, the risk matrix expands. Gu warns that AI systems, if left unchecked, can make decisions devoid of human context, potentially leading to unintended and widespread consequences. 'Ethical AI governance, robust testing environments, and clearly defined boundaries are essential,' he says, underlining the delicate balance required to simulate threats without crossing into unethical territory. Daccache emphasises the importance of a privacy-first, security-first approach. 'AI must be developed and operated with Privacy-by-Design and Secure-by-Design principles,' he explains. 'This extends to protecting the AI systems themselves — including their training data, operational logic, and outputs—from adversarial manipulation.' Daccache also points to the need for securing both AI-generated queries and outputs, especially in sensitive operations like red teaming. Without such safeguards, there's a real danger of data leakage or misuse. 'Transparency, accountability, and documentation of AI's capabilities and limitations are vital, not just to build trust, but to meet regulatory and ethical standards,' he adds. Despite AI's growing autonomy, human oversight remains non-negotiable. 'While AI can accelerate simulations and threat detection, it must be guided by skilled professionals who can interpret its actions with context and responsibility,' says Daccache. This human-AI collaboration ensures that the tools remain aligned with organisational values and ethical norms. Hirvimies rounds out the conversation with additional cautionary notes: 'Privacy violations, data misuse, bias in training datasets, and the misuse of offensive tools are pressing concerns. Transparent governance and strict ethical guidelines aren't optional, they're essential.' Balancing the Equation While AI promises speed, scale, and smarter defense mechanisms, experts caution that an over-reliance on these systems, especially when deployed without proper calibration and oversight — could expose organisations to new forms of risk. 'Absolutely, over-reliance on AI can backfire if systems are not properly calibrated or monitored,' says Lozhkin. 'Adversarial attacks where threat actors feed manipulated data to mislead AI are a growing concern. Additionally, AI can generate false positives, which can overwhelm security teams and lead to alert fatigue. To avoid this, companies should use a layered defence strategy, retrain models frequently, and maintain human oversight to validate AI-driven alerts and decisions.' This warning resonates across the cybersecurity landscape. Daccache echoes the concern, emphasising the need for transparency and control. 'Over-relying on AI, especially when treated as a black box, carries real risks. Adversaries are already targeting AI systems — from poisoning training data to crafting inputs that exploit model blind spots,' he explains. 'Without the right guardrails, AI can produce false positives or inconsistent decisions that erode trust and delay response.' Daccache stresses that AI must remain a tool that complements — not replaces—human decision-making. 'AI should be an extension of human judgement. That requires transparency, control, and context at every layer of deployment. High-quality data is essential, but so is ensuring outcomes are explainable, repeatable and operationally sound,' he says. 'Organisations should adopt AI systems that accelerate outcomes and are verifiable, auditable and secure by design.' Gu adds that blind spots in AI models can lead to serious lapses. 'AI systems are not infallible,' he says. 'Over-reliance can lead to susceptibility to adversarial inputs or overwhelming volumes of false positives that strain human analysts. To mitigate this, organizations should adopt a human-in-the-loop approach, combine AI insights with contextual human judgment, and routinely stress-test models against adversarial tactics.' Gu also warns about the evolving tactics of bad actors. 'An AI provider might block certain prompts to prevent misuse, but attackers are constantly finding clever ways to circumvent these restrictions. This makes human intervention all the more important in companies' mitigation strategies.' Governing the Double-Edged Sword As AI continues to embed itself deeper into global digital infrastructure, the question of governance looms large: will we soon see regulations or international frameworks guiding how AI is used in both cyber defense and offense? Lozhkin underscores the urgency of proactive regulation. 'Yes, there should definitely be an international framework. AI technologies offer incredible efficiency and progress, but like any innovation, they carry their fair share of risks,' he says. 'At Kaspersky, we believe new technologies should be embraced, not feared. The key is to fully understand their threats and build strong, proactive security solutions that address those risks while enabling safe and responsible innovation.' For Daccache, the focus is not just on speculative regulation, but on instilling foundational principles in AI systems from the start. 'As AI becomes more embedded in cybersecurity and digital infrastructure, questions around governance, risk, and accountability are drawing increased attention,' he explains. 'Frameworks like the GDPR already mandate technology-neutral protections, meaning what matters most is how organizations manage risk not whether AI is used.' Daccache emphasises that embedding Privacy-by-Design and Secure-by-Design into AI development is paramount. 'To support this approach, CrowdStrike offers AI Red Teaming Services, helping organisations proactively test and secure their AI systems against misuse and adversarial threats. It's one example of how we're enabling customers to adopt AI with confidence and a security-first mindset.' On the other hand, Gu highlights how AI is not only transforming defensive mechanisms but is also fuelling new forms of offensive capabilities. 'As AI becomes integral to both defence and offense in cyberspace, regulatory frameworks will be necessary to establish norms, ensure transparency, and prevent misuse. We expect to see both national guidelines and international cooperation similar to existing cybercrime treaties emerge to govern AI applications, particularly in areas involving privacy, surveillance, and offensive capabilities.' Echoing this sentiment, Hirvimies concludes by saying that developments are already underway. 'Yes. Regulations like the EU AI Act and global cyber norms are evolving to address dual-use AI,' he says. 'We can expect more international frameworks focused on responsible AI use in cyber defence, limits on offensive AI capabilities, and cross-border incident response cooperation. At QuantumGate, we've designed our products to support this shift and facilitate compliance with the country's cryptography regulations.'

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store