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?

HODL 2025, organised by Trescon officially opened recently at Madinat Jumeirah, Dubai, marking a pivotal moment in the evolution of blockchain and decentralized finance (DeFi).

The prestigious two-day event follows the Dubai FinTech Summit that commenced on 12^th May. During the Summit’s opening ceremony, His Excellency Essa Kazim, Governor of Dubai International Financial Centre (DIFC), announced the launch of the inaugural Dubai Future Finance Week, scheduled for 2026. This flagship initiative will bring together major financial events—including Dubai FinTech Summit, Future Sustainability Forum, Private Capital Forum, Seamless Middle East, HODL Summit, and Dubai Future District Fund AGM—under a unified theme: “Pioneering tomorrow’s financial landscape: Innovation, sustainability, and global connectivity.”

“Being part of the upcoming Dubai Future Finance Week reflects our commitment to fostering innovation and collaboration in the Web3 space,” said Mohammed Saleem, Founder & Chairman, Trescon. “We are proud to contribute to Dubai’s vision of becoming a global financial powerhouse.”

Crypto Rulebook: Toward Global Standards

A day 1 highlight was the expert panel “Crypto rulebook: Global best practices and regulatory measures”, moderated by Saqr Ereiqat, Secretary General, Dubai Digital Asset Association. Speakers included:

• Dyma Budorin, CEO, Hacken
• Samir Safar-Aly, MENA FinTech Association
• Erwin Voloder, European Blockchain Association
• Belal Jassoma, DMCC

“We want to have the best ecosystem for entrepreneurs to run their business.” — Dyma Budorin
 “Regulations need to catch up and work together.” — Samir Safar-Aly

The discussion emphasized the need for global regulatory coherence and innovation-friendly compliance frameworks.

Insuring Web3: A $6 Trillion Opportunity

Another standout session, “Insuring the Future of Crypto: Bridging Risk & Innovation in the Digital Asset Economy”, spotlighted the crucial role of insurance in de-risking digital finance.

“Insurance has been a bedrock component of sustainability; it is a $6 trillion market.” — Joseph Ziolkowski

The panel explored how risk-aligned insurance solutions are key to unlocking institutional trust and long-term ecosystem resilience.

During his session, Cristian Ulloa, Co-Founder & CEO of Liquid Loans, Platinum sponsor of HODL 2025, shared valuable strategies for building wealth in crypto while steering clear of common pitfalls that lead to crypto regret.

Global Leaders on the HODL Stage

Day 1 also featured other prominent speakers sharing insights across DeFi, tokenisation, compliance, and blockchain banking including:

• Corbin Fraser, CEO, Bitcoin.com
• Nils Andersen-Röed, Global Head of FIU, Binance
• Gracy Chen, CEO, Bitget
• Rifad Mahasneh, CEO MENA, OKX
• Robert Crossley, Global Head, Franklin Templeton
• Joseph Ziolkowski, CEO, Relm Insurance

Argentem Creek Partners announces recently the appointment of Dilip N. Massand as Head of Global Strategic Partnerships and Co-Head of Middle East, reinforcing the firm’s growth trend in the ME region following the award of a strategic license from the Financial Services Authority of ADGM in 2024 and the establishment of its MENA and Asia headquarters in Abu Dhabi.

The appointment marks a significant step in Argentem’s expansion strategy in the Middle East and deepens its footprint in the region. Based in Abu Dhabi, Dilip will co-lead together with Jeroen Westrik,  the firm’s regional expansion and will drive global strategic partnerships, including co-investments, joint ventures, and new platform development.

With over three decades of experience across the Middle East, South Asia, and the U.S., Dilip brings a deep understanding of multi-jurisdictional deal structuring and asset recovery. He previously served as co-founder and CEO of Phoenix Advisors Ltd., a legal finance firm based in ADGM, and earlier as Managing Director of SAS Asset Recovery, a special situations platform sponsored by a U.S. credit manager. He also advises Alvarez & Marsal and sits on advisory boards including New York Law School’s Alternative Dispute Resolution Center and Education for Employment.

“Dilip’s appointment reflects our conviction in the region’s long-term investment opportunity,” said Maarten Terlouw, President & Co-Chief Investment Officer at Argentem Creek. “His cross-border experience, institutional relationships, and entrepreneurial track record will be critical to growing our business from Abu Dhabi while also aligning Argentem with global capital partners.”

The announcement comes amid a broader strategic expansion for Argentem Creek globally. The firm also announced the appointment of Beatriz Franco as Chief Operating Officer, based in New York.

Beatriz joins with nearly 30 years of international experience spanning banking, law, venture capital, and entrepreneurship. She spent nine years at JPMorgan in Private Credit and Structured Products, practiced law across New York, Silicon Valley, and Brazil, and most recently served as CEO of an agtech startup and founder of a boutique venture capital fund. She holds an MBA in Finance, a Master’s in Law, and is admitted to the New York, California, and Brazilian Bar.

As COO, Beatriz will report to the firm’s leadership and oversee legal, operations, and enterprise support functions. She will serve on multiple internal committees and play a key role in supporting Argentem’s global growth agenda.

Daniel Chapman, CEO of Argentem Creek, commented: “As we scale our global platform, these two appointments reflect our commitment to regional execution and institutional-grade operational excellence. Dilip’s leadership in the Middle East and Beatriz’s multidisciplinary expertise in law, finance, and venture will play a critical role in scaling our activities and supporting Argentem’s ambitious strategic growth agenda”