Financial

AI-Driven Cybersecurity in MENA Banking: Why It’s Time to Rethink Our Defenses

Published

5 months ago

May 16, 2025

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

Reimagining Banking: Unlocking Endless Potential and Unlimited Growth in the Middle East

Published

3 days ago

October 7, 2025

Integrator Web-Editor

By Keith Redding, Chief Revenue Officer, Universal Banking at Finastra

Reimagining banking in the Middle East is redefining how financial institutions grow, engage, and innovate. As digital transformation accelerates, banks must evolve to deliver seamless, secure, and personalized experiences that meet rising customer expectations.

Across the UAE and Saudi Arabia, adoption of digital banking continues to surge. According to Capco’s “Bank of the Future” survey, 89% of UAE customers have become more confident using mobile banking services, while 83% now access them primarily via mobile apps. Similarly, Saudi Arabia expects online banking penetration to grow by over 16 percentage points between 2024 and 2029, underscoring the region’s momentum toward smarter, connected financial ecosystems.

Reimagining Banking Middle East with Data and Analytics

Data has become the new cornerstone of success. Through AI, analytics, and machine learning, banks can decode customer behaviour and anticipate needs more precisely than ever. As a result, they can personalize offerings, boost retention, and reduce friction across the customer journey.

A clear example of this transformation is Riyad Bank’s Centre of Intelligence (COI) — Saudi Arabia’s first AI-focused banking hub — which enhances operational efficiency while driving innovation in customer engagement.

By reimagining banking in the Middle East with data-driven strategies, institutions can align financial products with real-time insights and deliver experiences that feel intuitive, predictive, and human.

Hyper-Personalization and Omnichannel Growth

Customers today interact through multiple touchpoints — mobile apps, websites, and physical branches — expecting consistent, personalized service. Therefore, delivering a seamless omnichannel experience has become the foundation of loyalty.

In the UAE, 70% of consumers are willing to share personal data for tailored experiences, while in Saudi Arabia, the number climbs to 71%. This readiness empowers banks to use analytics ethically and transparently, transforming everyday banking into relationship-driven engagement.

Digital Sales Outreach and New Engagement Models

Digital outreach is not an option — it’s essential. Mobile-first strategies, social media engagement, and AI-driven marketing are now central to how banks connect with customers.

Take D360 Bank, one of Saudi Arabia’s first digital-only institutions. It attracted over 600,000 customers within two months of launch, proving that mobile-first banking can scale fast when powered by user-centric design.

Ecosystem Collaboration: Powering Innovation in the Middle East

Another major force reimagining banking in the Middle East is ecosystem collaboration. By partnering with fintechs, big tech firms, and infrastructure providers, banks can expand capabilities faster than ever before.

Globally, fintech startups have surged from 12,000 in 2020 to nearly 30,000 in 2024. The Dubai International Financial Centre (DIFC) now hosts over 1,000 fintech firms, while Saudi Arabia’s fintech ecosystem has more than doubled within a year. This growth underscores the importance of collaboration as a driver of agility and innovation.

Such partnerships empower banks to deploy advanced solutions like AI-powered risk scoring, embedded finance, and real-time payments — all while ensuring compliance with regional and global standards.

Looking Ahead: Building a Future-Ready Financial Ecosystem

The future of reimagining banking in the Middle East lies in intelligent, insight-led operations. Automated recommendations, predictive support, and AI-driven decision-making will soon define how banks engage customers.

Forward-thinking institutions in the UAE are already adopting AI-assisted frameworks that streamline service and elevate the customer experience. In Saudi Arabia, agile innovation models like Alinma Bank’s digital factory accelerate product launches and improve customer alignment.

As the region continues to evolve, banks that combine innovation, collaboration, and customer-centric transformation will achieve sustainable growth and long-term market leadership.

Check this out UAE Crypto Regulation Sets Global Blueprint

Financial

UAE Crypto Regulation Sets Global Blueprint

Published

3 days ago

October 7, 2025

Integrator Web-Editor

By Karl Naïm, Group Chief Commercial Officer, XBTO

The UAE has evolved from a crypto sandbox to a global model for digital asset regulation, demonstrating how policy clarity, investor protection, and innovation can coexist. Once a regional testing ground, the nation now leads in tokenization, blockchain adoption, and institutional-grade compliance — setting a framework others are eager to emulate.

Institutions Move from Observation to Adoption

Over the last two years, institutional investors — from sovereign funds to global asset managers — have shifted from cautious exploration to structured allocations in digital assets. Yet, these investors only engage when they see robust regulatory infrastructure.
Here, UAE crypto regulation stands apart. While the U.S. remains divided over jurisdictional control and Europe’s MiCA awaits full rollout, the UAE offers a complete ecosystem where policy meets execution. This maturity has transformed the country into a trusted base for large-scale blockchain initiatives.

Two Regulatory Paths, One Unified Objective

The UAE’s approach balances innovation and oversight through two distinct yet aligned regulatory arms.

Abu Dhabi Global Market (ADGM): Through the Financial Services Regulatory Authority (FSRA), it licenses custody, tokenization, and brokerage activities under strict governance criteria.
Dubai’s Virtual Assets Regulatory Authority (VARA): Instead of classifying asset types, VARA regulates activities, giving firms flexibility to innovate without restarting their licensing process.

This dual model ensures both stability and adaptability — a rare equilibrium that reinforces confidence among enterprises and investors.

Tokenization Moves from Pilot to Production

In 2023, Neovision and Realize launched one of the first tokenized U.S. Treasury funds under ADGM’s oversight, now part of a market valued at over $2.4 billion. Soon after, HSBC piloted tokenized gold settlement in the Emirates, leveraging the UAE’s mature legal and technical infrastructure.
Unlike most markets, where tokenization remains conceptual, the UAE has operationalized it across corporate bonds, commodities, and private equity. This tangible progress makes UAE crypto regulation a benchmark for turning blockchain theory into enterprise-scale reality.

Proven Resilience Through Market Turbulence

The UAE’s frameworks were tested during the 2022 digital asset downturn. While some regions froze licensing or enforcement, VARA introduced stricter custodial and marketing rules while continuing to issue licenses transparently.
In 2024, both VARA and ADGM demonstrated accountability by penalizing unlicensed operators and enforcing compliance — signaling a regulatory environment that values both innovation and discipline.

Blockchain Beyond Finance

Beyond crypto trading and tokenization, the UAE is using blockchain to drive cross-sector innovation.

Ras Al Khaimah has built a dedicated Web3 zone for decentralized applications.
Sharjah is piloting blockchain in public services, from identity to supply chain tracking.
This diversification proves the national model’s flexibility and depth, blending economic and civic value under a unified UAE crypto regulation framework.

Geography Meets Governance

Situated between Asia and Europe, the UAE benefits from time-zone overlap, U.S. dollar settlement, and investor-friendly tax structures. Yet its real advantage lies in policy precision. Since 2023, VARA has issued frequent updates and consultative papers, responding dynamically to industry input.
Following its removal from the FATF grey list in 2024, the UAE has accelerated compliance reforms faster than most peers, turning global scrutiny into strategic progress.

A Replicable Blueprint for the World

While the U.S. debates regulatory ownership and Europe await MiCA’s maturity, the UAE has implemented a live, multi-emirate framework. It balances openness with oversight — a model now studied by global policymakers.
For institutional investors, the question has shifted from if to were. Increasingly, the answer is clear: the UAE — where crypto regulation is no longer an experiment, but the emerging global standard.

Read our previous post, UAE Depreciation Rules Boost Real Estate Investment

Financial

UAE Depreciation Rules Boost Real Estate Investment

Published

3 days ago

October 7, 2025

Integrator Web-Editor

By Shabbir Moonim, CFO, The Continental Group

Shabbir Moonim,Chief Financial Officer at The Continental Group. — **Shabbir Moonim**

A Sharper Edge for UAE Property Depreciation Investors

The UAE property depreciation is reshaping how businesses and family offices view property as an investment. Real estate has always anchored wealth and stability, but its treatment within corporate tax frameworks now determines how effectively it performs over time.

The latest guidance allows depreciation deductions on properties valued at fair market value, adding a layer of fiscal precision. Companies choosing the realization basis—deferring tax until sale—can now claim an annual deduction of up to 4 percent on the property’s original cost or written-down tax value. This refinement strengthens property’s role inside long-term, tax-efficient portfolios.

How Depreciation Boosts UAE Property Cash Flow

Investment success depends not only on appreciation but also on liquidity and reinvestment power. Depreciation lowers taxable income, improving post-tax returns for assets that are typically illiquid.

For structured property holders, claiming depreciation under fair-value accounting boosts internal yield and aligns property with other income-producing assets. Even at a modest 4 percent, the deduction releases capital that can be reallocated or retained, enhancing overall portfolio efficiency.

Moreover, this recurring offset stabilizes cash flows, giving investors predictable returns that complement the long-term nature of property ownership.

Aligning UAE Property Depreciation with Tax Efficiency

Previously, owners had to choose between fair-value accounting and depreciation benefits. Businesses valuing properties at market rates lost tax deductions, while those using historical cost models retained them. The new UAE depreciation rules remove this compromise.

Now, companies can maintain up-to-date valuations and still claim depreciation, ensuring transparency and consistency. This alignment allows property to compete directly with other investment classes, from private equity to listed securities, on a balanced tax basis.

Consequently, financial planners can make clearer, data-driven decisions about capital allocation and portfolio composition.

Small Rule, Big Impact on UAE Property Investment

While no single regulation redefines real-estate logic, subtle fiscal changes can transform investment behavior. This policy turns property from a passive holding into an active component of strategic capital management.

It also reflects the UAE’s commitment to predictable, rules-based governance that supports investment without distorting markets. For business owners and families planning across generations, this stability builds confidence and encourages long-term commitment to the country’s economy.

Ultimately, the UAE depreciation rules help transform real estate from a static asset into a dynamic tool for tax optimization and sustainable growth.

A Foundation for Smarter Real Estate Portfolios

These reforms make it easier to incorporate real estate within diversified investment portfolios. They support businesses in balancing cash flow needs, compliance requirements, and performance targets.

For investors, the message is clear: property can now compete with other asset classes not only on returns but also on efficiency and resilience. The UAE continues to build a financial landscape where predictability and innovation work hand in hand.

About the Author

Shabbir Moonim is the Chief Financial Officer at The Continental Group, with over 25 years of experience in finance, strategy, and governance. He aligns financial operations with enterprise growth, oversees risk management and treasury, and drives regulatory readiness and data-driven decision-making across the organization.

About The Continental Group

Founded in 1994 by Ashok Sardana, The Continental Group is a leading insurance and financial services provider licensed by the UAE Insurance Authority, SCA, and DFSA. With over 250 professionals operating across Europe, the Middle East, and Asia, the Group offers customized solutions in investments, wealth management, succession planning, and insurance. Its core values — integrity, insight, and innovation — continue to drive client trust and long-term financial well-being.

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