Financial
AI-Driven Cybersecurity in MENA Banking: Why It’s Time to Rethink Our Defenses
By Omar Mansur, Managing Director – APAC, Codebase Technologies
In an age where digital transformation is moving faster than ever, banks around the Middle East and North Africa (MENA) are forced to confront a growing and increasingly evolving threat: cybercrime and fraud. It’s not just about an increase in the number of incidents; it’s about smarter threats. Nefarious agents are utilizing more complex methods such as leveraging artificial intelligence (AI) to outsmart traditional IT security systems, using everything from deepfake-powered scams to AI-generated phishing campaigns along with social engineering strategies.
In the UAE alone, about 21% of cybersecurity incidents in recent years targeted banks and financial institutions, second only to government entities (Lemos, 2025). With costly breaches on the rise cybersecurity has become a top board-level concern. However globally, 71% of leaders report that small organizations can no longer adequately secure themselves against the growing complexity of cyber risks (WEF, 2025). It’s a high-stakes game and I have personally seen how AI and cybersecurity has taken the spotlight in board meetings and discussion with clients from across the GCC and Levant regions.
This urgency has forced MENA banks to explore AI-driven security solutions that can match the speed and complexity of modern threats, protecting both their customers and their bottom line. The conversation is no longer “if” we need AI-driven defenses—it’s how quickly we can deploy them, and how can we optimize them to adapt to the ever-changing tactics of nefarious agents
Where We Stand
It wasn’t that long ago that Gen AI in banking was mostly used to train and create chatbots for customer support, but this is changing quickly. In the UAE, over 70% of banks have rolled out or upgraded their AI capabilities, and not just to streamline operations, but to actively combat cybercrime (PwC, 2023). Across multiple projects I have seen an overarching focus on AI being incorporated into all manner of digital solutions, particularly in the MENA region where cyber fraud has become a prevalent issue affecting credibility and customer confidence.
The push is being led by both necessity and ambition. Saudi Arabia and the GCC states are investing heavily in national digital strategies, and banks are stepping up with AI systems to detect fraud, verify identities, and stay ahead of financial crime. As many countries in the Middle East position themselves as financial and fintech hubs, ensuring security for customers and institutions is a prime concern in garnering not only customer confidence but regional credibility. That’s pushed regional cybersecurity budgets to grow by double digits, with MENA’s total spend expected to exceed $3.3 billion in 2025, driven by Gen-AI, cloud adoption, talent gaps, and evolving threats (Gartner, 2024).
A True Strategic Advantage or Just a Security Upgrade?
Artificial intelligence isn’t just helping plug holes in defenses, it’s defining the rules for how security is built into every layer of operations. Integrating AI into banking operations gives banks a real edge in regions where speed really matters. Having worked with several banks across the region, I’ve seen firsthand how traditional security models are starting to break under the weight of elaborate AI based threats.
For banks in the MENA region, where rapid digitalization coincides with heightened cyber threats, adopting AI-driven systems enhances operational resilience, reduces financial losses due to fraud, and boosts customer trust. AI not only fortifies security frameworks, it also fosters innovation, empowering banks to confidently pursue new digital business models and expansion opportunities.
AI defenses monitor account activity 24/7 and can react in seconds to anomalies, reducing the window of time attackers can exploit. AI-based user behavior analytics can spot an account takeover attempt at the moment it diverges from normal patterns and automatically disable the account, preventing fraud before it escalates. Early-adopting banks in the UAE report that AI systems have sharply reduced successful fraud incidents and enabled rapid intervention in potential cyber attacks.
AI isn’t just a nice to have security upgrade, it’s a question of survival.
How are Banks Using AI for Cyber Security
A simple example of successful AI usage in a cybersecurity context is during a next-gen digital onboarding process. With many regulators now strong encouraging or mandating digital onboarding, banks have been able to benefit from using AI-powered systems to prevent fraud before it has a chance to run rampant. Next gen AI-powered onboarding and eKYC minimizes friction for customers looking to open accounts, while providing a secure backend environment to recude the risks for attacks. Such solutions utilize a variety of AI enabled features such as next-gen biometrics, deep ID document validation, Arabic language detection, glare reduction in ID photos, all ensuring a secure authentication and verification of a new customer. An example of this application can be the digital onboarding process implemented by UAE-based Ajman Bank, which has registered a significant reduction in fraud attempts after implementing an AI-based digital onboarding system as part of its digital transformation.
Another strategy for catching instances of fraud is by using AI for anomaly detection. A machine learning model can study what “normal” looks like, in terms of user behavior, transaction patterns, system activity; and flag anything that stands out. This allows banks to see unusual patterns – e.g. a late-night login or peculiar fund transfers, which would evade static rule-based systems. Unsupervised algorithms (like isolation forests or one-class SVMs) and neural network autoencoders sift through vast streams of events to pinpoint such outliers. Such strategies, can be deployed to facilitate analysis over large numbers of accounts, which can then be flagged to a human for additional intervention and review.
This tactic can work hand in hand with automating routine security tasks with AI, making cybersecurity operations more efficient. This not only addresses the talent shortage by doing more with less, but also lowers costs associated with manual monitoring and investigation. AI-based security solutions have been shown to improve incident response times and cut costs by reducing trivial alerts and speeding up analysis. Banks in MENA benefit by reallocating human experts to higher-value activities like threat hunting and fortifying security architecture, while letting AI handle the heavy lifting of round-the-clock surveillance.
Neural networks can analyze huge volumes of transactional data, cross-referencing dozens of variables to catch fraud in ways that traditional systems simply can’t. Banks train neural networks on historical transactions to recognize subtle indicators of fraud that humans might miss. An ensemble of decision trees (random forests) or a deep neural network can analyze dozens of features (transaction size, timing, location, device, user profile) to instantly assess whether a transaction is suspicious. These models adapt as fraud tactics evolve, improving over time. Similarly, neural networks in intrusion detection systems learn to spot network traffic behaviors that resemble known cyberattacks. This leads to faster, more accurate threat detection and frees up human analysts for higher-level decision-making.
Phishing remains a prime concern for many banks as targeting customers can be a much simpler way to compromise a system than to go after the bank itself. In fact, in 2024 there was a sharp increase in phishing and social engineering attacks, with 42% of organizations reporting incidents (WEF, 2025). To mitigate such threats, many cyber security experts are turning to Natural Language Processing or NLP, which has become a dynamic way in recent years that helps banks detect malicious intent in emails, texts, and even chat messages. NLP enables AI to “read” and analyze text for signs of fraud or attack. An NLP-driven system can scan incoming emails to employees and flag phishing attempts based on language patterns and malicious links. Banks use NLP to monitor chat messages and transaction memos for red flags, like someone soliciting account details. By understanding context in language, AI adds an extra layer of defense to catch social engineering and scam attempts that purely numeric data monitoring might overlook.
By deploying these AI-powered strategies in tandem, banks can create a multi-pronged defense system, akin to a digital immune system, ready to tackle a multitude of afflictions. An anomaly detection system might catch unusual account behavior, while an NLP filter flags a related phishing email – together giving a fuller picture of an attack in progress. This intelligent automation amplifies human analysts’ effectiveness, allowing them to focus on verified threats and complex investigations rather than sifting through noise.
Looking Towards a Future of Cyber Resilience
We’re entering a new era in banking security. One where artificial intelligence and generative-AI doesn’t just assist, but actively drives how banks detect, prevent, and respond to threats. The emerging champions won’t be those with the biggest budgets, but those with the clearest strategy, and those who understand that AI is both a weapon and a shield in the modern cybersecurity landscape. One that must be deployed correctly to protect institutions and customers.
When implemented wisely, AI can dramatically boost a bank’s ability to prevent breaches, detect fraud in real time, and operate securely at scale – all essential for maintaining customer trust. At the same time, banks must remain vigilant: as attackers innovate with AI, defensive strategies must keep adapting, and governance must ensure ethical, compliant use of artificial intelligence.
So, here’s a question worth asking at the next board meeting is, are we using AI to its full potential, not just to defend our systems, but to build customer trust, support innovation, and lead the market in resilience?
Financial
Finastra’s Saudi Arabia Reimagine Banking Forum Spotlights Innovation, Trust, and AI in a Vision 2030 Financial Landscape
Finastra, a global leader in financial services software, brought together regulators, banks, fintechs, and technology leaders at the Saudi Arabia Reimagine Banking Forum in Riyadh to examine how the Kingdom’s financial sector can accelerate innovation while protecting trust, resilience, and customer value under Vision 2030.
The forum featured perspectives from regional and global experts, including Rudy Kawmi, Vice President for Middle East, Africa and Asia Pacific, Universal Banking at Finastra, along with senior leaders such as Abdulkarim Alsowaygh, Head of Advisory Services at TechArch, and Aymen Belhedi, Digital and Technology Transformation Leader at KPMG Middle East.
As the conversation turned to how banks can turn ideas into action, Finastra shared perspectives based on its long-standing work with financial institutions in the Kingdom, where it has supported banks since the early nineties through local expertise, established relationships and ongoing investment. The company referenced the role of modern core platforms like Essence, in supporting agility, compliance and customer-centric design. Finastra Essence was also recognized as a Leader for the 2nd consecutive time in the Gartner Magic Quadrant for Retail Core Banking Systems, Europe.
Across three panel discussions – Banking Today: Delivering delight in a hyper competitive world, Banking Tomorrow: Innovation, agility and relevance, and Practical AI: Leveraging AI for profit, safely and securely – speakers shared practical strategies to balance regulatory expectations, customer needs, and technology adoption.
Key insights from the Saudi Arabia Reimagine Banking Forum include:
Innovation anchored in trust and compliance
Panelists agreed that innovation in Saudi banking must begin with trust. Cybersecurity, regulatory alignment and security maturity were described as non-negotiables, not afterthoughts. Speakers highlighted the role of the Saudi Central Bank (SAMA) in setting clear guardrails through initiatives such as API-driven banking frameworks and the Regulatory Sandbox, enabling banks and fintechs to experiment in controlled environments while protecting consumers and financial stability.
From product proliferation to precision, lifestyle-integrated banking
The discussion underlined a shift from launching more products to delivering precise, contextual experiences. Banks in Saudi Arabia are under pressure to evolve from traditional service providers into lifestyle platforms that integrate payments, credit and everyday services into the digital journeys customers already use. With the risk of banking drifting into a utility model, where providers are interchangeable, panelists called on institutions to differentiate through relevance, immediacy and purposeful design, not just scale.
Ecosystem orchestration as the new competitive edge
Speakers stressed that no institution can innovate in isolation. Banks that act as ecosystem orchestrators, curating fintech, technology and cybersecurity partners while owning the “trust layer”, are better positioned to deliver new propositions quickly. Internal teams, advisors and partners form a single value chain. The conversation moved beyond capability lists toward how those capabilities are combined, governed and brought to market at speed.
Data and AI turning trusted information into intelligence
Data was described as a critical and often underused asset. Panelists highlighted that the real opportunity lies not in collecting more data but in converting trusted data into actionable intelligence. In this context, AI and generative AI can help banks move from reactive service models to proactive, personalized engagement, provided governance keeps pace. With the right tools and controls, small teams can now deliver improvements in productivity and customer experience that previously required much larger workforces.
Practical, ethical AI with humans firmly in the loop
The AI discussion focused heavily on ethics, explainability and human oversight. Panelists warned against black-box systems in areas such as credit decisions and collections, where AI outcomes directly affect people’s lives. They emphasized the need to identify and address bias in training data and to keep humans accountable for final decisions. AI was positioned as a powerful tool to automate repetitive tasks, assist agents and accelerate analysis, while freeing people to concentrate on higher value work.
Technology is available, but adoption remains gradual
Speakers noted that while the technology to support next-generation services is already in place, adoption timelines can vary. Some innovations introduced in pilot phases have taken time to progress to full rollout, reflecting the sector’s careful approach to implementation. The discussion highlighted opportunities for continued progress in areas such as real time, transparent cross-border payments and fully digital account opening that reduces the need for in-branch processes.
Across all sessions, there was a consistent message: Saudi Arabia is setting a high bar for responsible innovation by combining a progressive regulator, a clear national agenda and banks that are re-architecting for trust, speed and inclusion. The future of banking in the Kingdom will belong to institutions that innovate boldly, design for resilience, and earn customer trust every day.
Financial
Rostro Group Enters UAE with New SCA Licence Amid the Country’s 20% Fintech Growth Surge
Rostro Group, an international diversified fintech and financial services group, has obtained a Category 5 license from the UAE Securities and Commodities Authority (SCA), marking a significant step in its long-term commitment to shape the UAE’s future financial ecosystem.
The UAE’s fintech ecosystem continues to expand at an exceptional pace, supported by progressive regulation, rising investor appetite, and strong government initiatives. Recent industry reports from bodies such as the MENA Fintech Association and Magnitt indicate that the UAE consistently attracts over 40–45% of all fintech investments in the region, reinforcing its position as the leading fintech hub in MENA.
Looking ahead, the sector in the UAE is projected to grow at a compound annual rate of more than 20% over the next five years, driven by increasing adoption of digital payments, rapid expansion in wealth-tech and digital brokerage services, and continued regulatory enhancements from bodies such as the SCA and ADGM. With this momentum, the UAE is well-positioned to remain a regional centre of innovation, capital formation, and digital financial transformation.
With UAE Securities and Commodities Authority (SCA) strengthening oversight and raising industry standards, the approval recognizes Rostro Group as a compliant and trusted participant in the country’s expanding financial landscape. It also allows the Group to operate in line with UAE’s expectations for transparency, investor protection and responsible market engagement.
Based in the UAE, the Group is led by CEO Michael Ayres, who has long-standing experience in the region’s fintech sector. Speaking about the SCA approval, Ayres highlighted that Dubai and Abu Dhabi’s rapid evolution into a future-ready financial ecosystem is unmatched.
Ayres said, “We at Rostro Group see the UAE as one of the most forward-thinking financial centres, one that will soon rival leading centres like London, Singapore or New York. Securing this licence deepens our alignment with the country’s vision to build a tech-first, institutionally robust financial ecosystem and propels our contribution to its next phase of growth.”
Rostro Group’s multi-brand structure is built to serve diverse categories of investors through a unified global ecosystem. Its Scope Prime division supports institutional clients with industry leading trading infrastructure, while Scope Markets offers individuals streamlined access to global trading and investing opportunities.
In recent years, the product offering of Rostro Group has been widened to include access to over 60 regional CFD equities, as well as the development of proprietary CFD indices to mirror the performance of the Dubai and Abu Dhabi stock markets.
Local banking relationships have already been established. In addition, Rostro’s Scope Prime division is now ready to provide multi-asset prime brokerage services to financial institutions across the GCC, whilst the retail client-facing Scope Markets division has the ability to offer account types denominated in multiple currencies including AED and USD.
Financial
AI gives Gulf banks the edge in managing liquidity with confidence
Integrated platforms and data-driven agility will allow IFIs to meet rising expectations and shape global standards
By Matthew Nassau, Business Architect, Treasury & Capital Markets at Finastra
Markets move in cycles. Each generation experiences most of the things that previous generations have endured (bull or bear markets, natural disasters, geopolitics, …) punctuated by turning points from which the future takes a distinct path (powered flight, the transistor, The Beatles, …). These highlights are often recognized early on as important in their day and seem to appear ‘overnight’, and yet have taken years of development and formation to appear in our consciousness, while the lasting extent of their transformative power is not fully appreciated.
Generative AI (GenAI) fits the model described above, poised as it is to revolutionize treasury and capital markets by markedly altering decision-making processes for market professionals. From conversational finance to predictive analytics, AI is evolving from a mere assistant to becoming a crucial decision-making tool. In Gulf Cooperation Council (GCC) countries, GenAI could add between USD 21 billion and 35 billion each year, on top of roughly USD 150 billion that existing AI technologies are expected to contribute. That represents about 1.7 to 2.8% of the region’s current non-oil GDP.
To deliver on this potential, it is essential that financial institutions have access to high-quality data, upon which GenAI can infer connections, deliver insights and enable actions.
Data has never looked so good
Data has long been treated as one of the most important assets in financial services. Vendors have built major businesses supplying real-time market feeds, and institutions invest heavily to safeguard customer information in every form. The value is clear. What is changing is how much more that value can grow as GenAI gains access to richer and more precise datasets. Large language models can spot relationships and trends that were previously buried, turning raw information into forecasts, alerts and actions that support commercial and risk decisions.
Unlocking that potential requires broader access to the information that treasury teams already rely on. Data lakes and warehouses form part of the picture, but they rarely capture everything. Treasury management systems are a prime example. Their reporting evolves constantly and plays a central role in liquidity decisions, yet much of it remains confined within the system. By making these reporting histories available to GenAI, banks can reveal patterns over time, flag emerging opportunities or risks and prompt timely intervention.
Timing is everything
To show how quickly things have shifted, consider a discussion I had with a major European bank a few years ago. The team was exploring how to treat treasury and capital markets data as a strategic asset without forcing everything into one central system. Their vision was a unified data layer where information could stay within existing applications yet still be accessed, combined and analyzed by staff using low code tools. The goal was to shift toward more data-driven decision making across the business and to uncover new sources of commercial value.
The concept was sound, but the technology required to deliver it at scale was simply too expensive and complex at the time. The bank had to narrow its ambitions and proceed with smaller, tactical initiatives. Artificial intelligence was not even part of the conversation. It felt experimental and far removed from daily operations.
Looking back, the idea wasn’t premature in strategy, only in timing. GenAI now makes this kind of agile, distributed data insight far more realistic.
‘Go big or go home’ – not any more
Expectations have moved on as technology has matured and become easier to access. The old way of classifying data projects as either short-term tactical fixes or long-term strategic overhauls no longer applies. GenAI changes the conversation. It shifts focus from where data lives to how much value it can generate. Deploying AI in specific functions like operations, the front office or reconciliation isn’t a stopgap. It’s a practical way to unlock intelligence quickly.
What will determine success is an institution’s ability to surface a wide range of data, ensure its accuracy and let AI learn from it. This doesn’t require a massive transformation program from day one. Starting with focused use cases can improve efficiency, reduce manual work and reveal valuable insights straight away. As more processes become AI-enabled, those individual wins begin to connect, creating a stronger and more intelligent foundation across the entire organization.
Outcomes lead to incomes
When a technology is still emerging, no one can predict with certainty how far its influence will reach. The best indicators often come from those willing to adopt early and test ideas in the real world. Many concepts compete for relevance, and only a few will ultimately reshape how people work.
The organizations that benefit most are the ones comfortable experimenting, moving quickly and learning as they go. GenAI encourages exactly that mindset. It allows teams to explore and refine new approaches by tapping into the data they already hold. The results show up in lower costs, stronger client value and healthier margins.
This shift is not about replacing existing business models but enhancing them. Each step forward can deliver outsized returns for firms confident enough to start now.
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