Financial

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

Published

4 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

From Minutes to Mandates: Elevating the Board Clerk to Strategic Governance

Published

2 days ago

September 18, 2025

Integrator Web-Editor

Professional woman in yellow polka dot blouse smiling in modern office setting with contemporary kitchen design in background.

– A By-Line from Carol Gray, Head of Board Relations, BISR

At British International School Riyadh (BISR), the role of the Board Clerk has undergone a remarkable transformation. No longer confined to minute-taking and logistical arrangements, today’s Board Clerk stands as a pivotal figure, wielding influence far beyond administrative duties to actively shape the strategic direction of the board. This evolution reflects the increasing complexity of corporate governance and the growing recognition of the clerk’s unique vantage point.

As the recent recipient of the ‘Board Clerk of the Year’ award, I have witnessed firsthand how the modern Board Clerk is privy to all discussions, decisions, and supporting documentation. We understand the flow of information, the nuances of board dynamics, and the historical context of strategic choices. This privileged position provides an untapped reservoir of knowledge and insight.

Why Elevating the Board Clerk Role is Critical for Effective Governance

The Board Clerk’s expanded remit means they are now a governance professional, not just an administrator. Their responsibilities include:

1. Anticipating and proactively addressing governance challenges

2. Facilitating effective communication and information flow

3. Supporting strategic discussions with insightful context

4. Ensuring the integrity of the decision-making process

5. Contributing to board development and effectiveness

This transformation is not merely a shift in responsibilities; it demands a different skill set. Today’s Board Clerk needs strong analytical and organizational abilities, exceptional communication and interpersonal skills, a deep understanding of corporate governance principles, and the ability to exercise sound judgment and discretion.

Leveraging the Board Clerk for Better Decision-Making, Compliance, and Board Performance

By ensuring the board is well-informed, compliant, and operating efficiently, the Board Clerk provides the foundational support necessary for effective strategic decision-making. They are no longer just keeping score; they are actively contributing to the game plan, ensuring the board is equipped to navigate the complexities of the modern business environment and steer the organization towards its strategic goals.

Practical Steps for Integrating Governance Professionals into Strategic Board Operations

1.Recognise the Strategic Value: Boards and leadership teams should acknowledge the Board Clerk’s unique perspective and invite them into strategic conversations.

2. Invest in Professional Development: Provide access to governance training, leadership development, and networking opportunities.

3.Embed Governance in Board Culture: Make governance a standing agenda item and encourage the Clerk to contribute insights on compliance, risk, and best practice.

4.Leverage Technology: Use digital tools to streamline information flow, enhance transparency, and support effective decision-making.

5.Foster Collaboration: Encourage open communication between the Clerk, Chair, CEO, and board members to build trust and maximize board effectiveness.

The evolution of the Board Clerk’s role is a testament to the increasing appreciation for the critical role governance plays in achieving sustainable success. By elevating this position, organisations unlock new levels of board performance, compliance, and strategic agility. The Board Clerk is no longer a passive recorder but an active enabler of strategic thinking—helping boards move from minutes to mandates.

I’m deeply honored to receive this recognition from AGBIS. The role of the Board Clerk has truly evolved, and it’s a privilege to be part of a school that understands its strategic importance. This award isn’t just for me; it’s a testament to the collaborative spirit and forward-thinking governance we champion at British International School Riyadh. I’m excited to continue supporting our board as we navigate the complexities of modern education and shape a bright future for our students.

Carol Gray, Head of Board Relations, British International School Riyadh (BISR) Board Clerk of the Year, AGBIS Annual Conference.

Financial

The Clock is Ticking on UAE eInvoicing as the 2026 Deadline Nears

Published

3 days ago

September 17, 2025

Integrator Web-Admin

By Nimish Goel, Partner and Head of GCC, Dhruva Consultants

The UAE has never been a jurisdiction that shies away from bold reforms. From introducing VAT in 2018 to rolling out corporate tax in 2023, the country has consistently demonstrated its willingness to align with global best practices in fiscal governance. Now, with the Federal Tax Authority (FTA) and Ministry of Finance (MoF) preparing to enforce a nationwide eInvoicing regime by July 2026, the stakes are even higher.

A portrait of Nimish Goel, Partner and Head of GCC, Dhruva Consultants — **Nimish Goel, Partner and Head of GCC, Dhruva Consultants**

This is not simply another compliance box to tick. eInvoicing represents a fundamental shift in the way financial data is created, exchanged, and monitored. Once live, every invoice, credit note, representing economic activity—whether for VAT-registered businesses, exempt transactions, out of scope transactions or even historically less scrutinized activities such as financial services, real estate, and designated zones—will be generated in a structured XML format, routed through accredited service providers, and validated in real time.

For finance leaders, the message is clear. The era of static PDFs and delayed reporting is over.

From paper trails to real time oversight

Globally, eInvoicing has proven to be a formidable tool in curbing tax evasion, automating new online services for taxpayers, plugging revenue leakages, and enhancing transparency. Jurisdictions that have adopted similar systems—such as Italy, India, and Latin America—have reported billions saved in fraud prevention and efficiency gains. The UAE has learned from these experiences and is designing a model that not only covers B2B and B2G transactions but also expands its reach to entities outside traditional VAT registration. There is an expectation that eInvoicing will eventually be extended to B2C transactions in the long term.

The result is to achieve full visibility of a Company’s entire transactions. This creates a real time compliance environment where mistakes will no longer hide in quarterly filings—they will surface instantly.

This shift raises the bar dramatically for CFOs and tax teams. Any misclassification in VAT treatment, error in data capture, or system lag could invite audits, penalties, and reputational damage.

Why waiting until 2026 is a risky bet

Too many businesses still view July 2026 as a distant milestone. In reality, groundwork needs to begin now. Data readiness, ERP integration, internal processes and control reviews, and stakeholder alignment are not overnight tasks. They require months—if not years—of preparation. Additionally, the preparation for eInvoicing is time-consuming, especially for Companies in the UAE, as they are currently upgrading their ERP systems or discovering that their current systems lack integration capability.

Companies must immediately begin by assessing whether their existing systems are capable of generating structured XML invoices or if the mandatory data fields are available in their source systems to meet regulatory requirements. Simultaneously, finance teams should engage closely with service providers to ensure seamless integration across platforms. A thorough review of tax treatment is equally important to identify and close any gaps that could cause errors in reporting. Finally, validating digital signatures and aligning with the Federal Tax Authority’s compliance standards will be critical to building a robust and audit-ready framework.

The transition is not merely technical; it is strategic digital transformation that will impact every single point of the organization. Finance functions that embrace early adoption will find themselves with cleaner data, faster refund cycles, and potentially automated VAT filings in the long run. Those who wait will find themselves firefighting compliance failures under intense regulatory scrutiny.

Beyond compliance lies an opportunity to rethink finance

What excites me most about the mandate is not its punitive edge but its transformative potential. Done right, eInvoicing can be the foundation for a smarter, more data-driven finance function. Real-time reporting could allow CFOs to track receivables with unprecedented accuracy, benchmark customer payment behavior, and build predictive insights into cash flow management.

In short, the regulatory push can double as a business opportunity if approached proactively.

The road ahead for UAE businesses

The UAE’s eInvoicing journey is only beginning. The legislative updates expected in 2025 will provide further clarity, but businesses cannot afford to be passive. Those who treat this as a last-minute compliance sprint will struggle. Those who see it as a chance to modernize their finance function will thrive.

At Dhruva, we believe the next 10-11 months are critical. Our role is not just to interpret regulations but to help businesses reimagine compliance as a value-creating exercise. The clock is ticking, and July 2026 is closer than it seems.

The question for every business leader is simple. Will you be prepared when the switch is flipped to real time?

Financial

Long-term wealth investing: first paycheck to million

Published

2 weeks ago

September 9, 2025

Integrator Web-Editor

By Raaed Sheibani, UAE Country Manager, StashAway

Long-term wealth investing is how you turn a first paycheck into lasting freedom in the UAE. With long-term investing, you build a safety net, automate contributions, and let compounding do the heavy lifting—so today’s income becomes tomorrow’s options.

Long-term wealth investing basics: start here

Before your first trade, set a safety net. Build an emergency fund covering 3–6 months of expenses. Keep it liquid and low risk. Then, park it in a cash management solution rather than an idle current account. Inflation erodes purchasing power; a sensible yield helps you sleep at night and stay invested during shocks.

Two engines of long-term wealth investing: DCA & compounding

Dollar-cost averaging (DCA). Invest a fixed amount on a schedule—regardless of headlines. Sometimes you buy high; often you buy low. Over time, your average cost smooths out, emotions calm down, and you capture the market’s trend. Historically, many of the market’s best days cluster near the worst; therefore, timing often backfires, while DCA keeps you in the game.

Compound growth. Returns earn returns. Start earlier, and compounding does more of the work. For example, with a 6% annual return, investing about $490 per month from age 25 can reach $1 million by age 65. Wait until 35 and you’ll need roughly $952; at 45, it’s about $2,023. Time in the market beats perfect timing.

Build your core portfolio for long-term wealth

Your core is the engine. Aim for a globally diversified, long-only mix across equities, bonds, and real assets. Avoid “home bias”; spread exposure across regions and sectors. Moreover, automate contributions so the plan runs while you work.

Consider risk in layers. Equities drive growth. Bonds dampen drawdowns and fund rebalancing. Real assets, including gold, add diversification. Rebalance periodically to lock in discipline: trim winners, top up laggards, and keep risk aligned to your goals.

Make the math work for you

Consistency compounds. Invest $1,000 monthly for 20 years at 6% and $240,000 in contributions can grow to over $440,000. The gap is compounding plus habit. Likewise, fees matter. Lower costs leave more return in your pocket, and tax-aware choices improve after-fee, after-tax outcomes.

Add satellites—without losing the plot

Once the foundation is solid, consider a core–satellite approach. Keep 70–80% in the core. Then, use 20–30% for targeted themes: clean energy, AI, healthcare innovation, or specific regions. Thematic ETFs can express these views efficiently. Because satellites carry a higher risk, cap their size and set clear review dates. If a theme drifts off the thesis, rotate back to the core.

Look beyond public markets as wealth grows

For qualified, higher-net-worth investors, private markets can broaden opportunities. Many large, fast-growing companies stay private longer. Select exposure to private equity, private credit, or venture—sized prudently—may enhance diversification and long-run returns. However, consider liquidity, fees, and manager quality. Align commitments with your time horizon so you never become a forced seller.

Guardrails that keep you on track

Write an Investment Policy Statement (IPS). Define risk level, contribution cadence, rebalancing rules, and when you’ll make changes. Then, automate to reduce decision fatigue. Additionally, track a few metrics: savings rate, fee drag, drawdown tolerance, and progress to goals. Celebrate streaks—months contributed, quarters rebalanced—to reinforce behavior.

A simple roadmap to your first million

Fund 3–6 months of expenses.
Automate DCA into a diversified core.
Rebalance on a set schedule.
Add satellites thoughtfully, 20–30% max.
Review fees, taxes, and liquidity.
Increase contributions as income rises.

Long-term wealth investing is not a secret. It’s a system: foundations first, habits next, scale last. Start small if needed, start now if possible, and let time do its quiet work.

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