Enqura’s AI-driven financial technology platform, featuring its award-winning EnQualify and EnSecure solutions, is now available on Temenos Exchange. The collaboration offers banks and financial institutions next-generation digital onboarding, strong authentication, and AI-powered customer engagement solutions.

Enqura, a leading provider of AI-driven financial technology solutions, today announced that its Fintech Five Platform, including EnQualify, EnSecure, EnWallet, EnConnect, and EnNovate, is now available on the Temenos Exchange partner ecosystem of fintech solutions.

Enqura empowers financial institutions with end-to-end digital transformation powered by advanced AI technologies. Covering digital ID verification, authentication, digital channels, open banking, and secure customer communication, Enqura’s solutions enhance operational efficiency, fraud prevention, and customer experience across the financial ecosystem.
On Temenos Exchange, Enqura joins a curated group of innovative technology providers helping banks accelerate innovation and deliver smarter digital services.

Monty Bhatia, EVP, Global Alliances and Partner Ecosystem, Temenos, said:
“We are excited to welcome Enqura to Temenos Exchange, making their AI-driven financial technology solutions readily available to banks globally running on our platform. Our Exchange partners deliver innovative fintech solutions, empowering our customers to enhance their services while reducing development costs.”

Metin Karabiber, Founder & CEO of Enqura, said:
“Becoming part of Temenos Exchange is a major milestone in our mission to redefine financial technology through AI. Our platform combines EnQualify for AI-driven digital ID verification, EnSecure for strong & passwordless authentication, EnNovate for digital channels, EnWallet for payments and open banking, and EnConnect for intelligent customer communication. With this collaboration, banks financial institutions can now easily access all five Enqura solutions via Temenos, enabling faster innovation, stronger security, and seamless customer experiences worldwide.”

Enqura’s availability on Temenos Exchange reinforces its commitment to helping the global banking community leverage AI on Mobile Edge technology for faster, more secure, and customer-centric financial operations. Each of the five products on Temenos Exchange supports a different pillar of digital transformation: Digital ID Verification (EnQualify), Strong Authentication (EnSecure), Digital Channels (EnNovate), Digital Assistant & Secure Messaging (EnConnect), and Digital Wallet & Open Banking (EnWallet). Together, they deliver measurable value to banks and fintechs worldwide.

As financial services accelerate toward 2026, fraud, identity and artificial intelligence are no longer separate domains. They are becoming deeply interconnected elements of a single trust architecture. The rise of AI-powered fraud, synthetic identities and deepfake technologies is fundamentally reshaping how financial institutions must think about risk and verification.
Industry research and global fraud reports consistently highlight a critical shift. Fraud is becoming faster, more automated and more difficult to detect using traditional methods. Static rules, manual reviews and one-time identity checks are increasingly ineffective against attacks that evolve in real time.

Synthetic Identity and Deepfake Threats

One of the most significant challenges financial institutions face today is the rapid growth of synthetic identity fraud. By combining real and fabricated personal data, fraudsters can create identities that pass traditional verification checks while remaining difficult to trace.
At the same time, advances in deepfake technology have made face manipulation, voice cloning and presentation attacks far more convincing. These techniques are no longer limited to high-profile cases. They are becoming accessible, scalable and increasingly used in financial fraud scenarios.
Reports from identity verification and fraud prevention providers show that these threats are not isolated incidents. They represent a structural shift in how fraud is executed, demanding equally advanced countermeasures.

Why AI-Supported Fraud Detection Is No Longer Optional

As fraud techniques grow more sophisticated, AI-supported fraud detection is becoming a necessity rather than an enhancement. AI models can analyze vast volumes of behavioral, transactional and contextual data in real time, identifying subtle patterns that traditional systems would miss.
Unlike rule-based systems, AI-driven fraud detection continuously learns and adapts. This enables institutions to respond proactively to emerging threats rather than reacting after damage has occurred. In a landscape shaped by AI-driven fraud, only AI-driven defense can operate at the required speed and scale.

Continuous Identity as a New Standard

Identity verification is also undergoing a fundamental transformation. Instead of being a one-time checkpoint during onboarding, identity is becoming a continuous process that spans the entire customer lifecycle.
Continuous identity enables institutions to maintain trust beyond the first interaction. By monitoring behavior and context over time, systems can detect anomalies that indicate account takeover, fraud attempts or identity misuse, even long after onboarding is complete.
This shift reflects a broader industry consensus. Trust is no longer established once. It must be maintained continuously.

Risk-Based Verification Models

Not every interaction carries the same level of risk. Risk-based verification models address this reality by dynamically adjusting verification requirements based on context, behavior and transaction characteristics.
Low-risk interactions can remain fast and seamless, while higher-risk scenarios trigger stronger verification steps. This approach allows institutions to strengthen security without introducing unnecessary friction, a balance that is increasingly critical in competitive digital markets.

Balancing Customer Experience and Security

One of the most persistent challenges in financial services is balancing customer experience with security. Historically, institutions were often forced to choose between the two. In 2026, that trade-off is no longer acceptable.
AI enables security and experience to coexist. Intelligent orchestration ensures that protection is applied precisely where and when it is needed, while legitimate users experience smooth, uninterrupted journeys. The result is a more resilient and customer-centric security model.

Enqura Perspective

In 2026, fraud prevention is no longer about isolated controls or standalone tools. It is about building an AI-driven trust architecture where identity, behavior and risk intelligence operate together in real time.
At Enqura, we believe the future of digital finance depends on transforming intelligence into trust. By integrating AI into identity verification, fraud prevention and customer journeys, financial institutions can deliver secure, seamless and future-ready experiences without compromise.

Fraud is evolving faster than ever. As we move toward 2026, a growing share of fraud attempts will no longer be initiated by individuals but by AI-powered systems capable of executing complex and highly coordinated attack scenarios. These systems can test vulnerabilities at scale, adapt in real time and exploit gaps across identity, behavior and transaction layers.
This shift fundamentally changes the nature of financial crime. Traditional fraud prevention strategies, which rely on static rules and post-event analysis, are no longer sufficient. Banks and fintechs must prepare for an environment where fraud evolves dynamically and continuously.

AI Agents and Orchestrated Fraud

AI agents are increasingly being used not only as defensive tools but also as offensive mechanisms by fraudsters. Orchestrated fraud attacks combine multiple techniques such as identity manipulation, behavioral spoofing and social engineering into a single, coordinated flow. To counter these threats, financial institutions must move toward AI-driven risk orchestration. Real-time behavioral monitoring and context-aware verification allow security systems to evaluate signals simultaneously rather than in isolation. This enables faster, more accurate decisions without disrupting legitimate customer journeys.

The Rise of Behavioral Biometrics

Behavioral biometrics is emerging as a critical layer in modern fraud prevention. Instead of relying solely on static identifiers like passwords or documents, institutions analyze how users interact with devices, applications and services. Patterns such as navigation behavior, interaction timing and transaction habits provide continuous insight into whether an interaction is legitimate. This approach enables risk to be evaluated not just at onboarding, but throughout the entire customer lifecycle, significantly improving detection accuracy.

Real-Time Risk Scoring

Static risk rules are no longer effective in an environment shaped by AI-driven fraud. In 2026, risk scoring must be dynamic and real time, continuously adapting to changes in user behavior and transaction context. By evaluating risk as it happens, institutions can respond instantly to anomalies while allowing low-risk interactions to remain seamless. This balance is essential for maintaining both security and customer experience.

Identity, Behavior and Context

The most effective fraud prevention strategies combine verified identity, behavioral signals and environmental context into a single, adaptive security model. When these layers work together, institutions can detect threats earlier and respond more intelligently. This holistic approach enables strong protection without unnecessary friction, ensuring that security evolves alongside customer expectations.

Enqura Perspective

Fraud prevention must move beyond static controls toward adaptive intelligence. At Enqura, we believe security should evolve in real time, protecting financial institutions while preserving seamless and trusted customer experiences.

As we approach 2026, fintech is no longer about adding digital features to traditional financial services. The industry is undergoing a deeper structural transformation driven by artificial intelligence, real-time decision-making and rising customer expectations for seamless, intelligent experiences.

Financial institutions are moving beyond classic digital transformation toward intelligent transformation, where systems do more than respond to user actions. Instead, they actively guide customer journeys, anticipate risks and protect interactions in real time. In this new era, intelligence becomes an integral part of the financial infrastructure rather than an added capability.

Agentic AI and Autonomous Decision-Making

One of the defining fintech trends for 2026 is the rise of agentic AI. Unlike traditional automation, AI agents are designed to make context-aware decisions, adapt to changing scenarios and orchestrate complex financial processes autonomously.
Within financial services, this shift enables smarter fraud prevention, more adaptive onboarding flows and highly personalized financial journeys. AI-driven systems can evaluate risk, behavior and context simultaneously, allowing institutions to move faster while maintaining control. As a result, AI is no longer positioned as a support tool. It is becoming a core decision layer embedded directly into financial infrastructure.

Embedded Finance and the Rise of Invisible Banking

Embedded finance continues to reshape how users engage with financial services. By 2026, banking will increasingly operate in the background, seamlessly integrated into non-financial platforms and everyday digital experiences.
This evolution places new demands on fintech architectures. Secure identity verification must happen without friction, risk assessment must operate in real time and systems must remain modular and scalable to support diverse use cases. Finance must be available precisely at the moment of need, without interrupting the user journey or introducing unnecessary complexity.

Real-Time Payments and Emerging Fraud Risks

As real-time payments become the standard, fraud risk accelerates accordingly. Instant transactions leave no room for manual review or delayed verification, forcing institutions to rethink traditional security models.
To address this challenge, financial organizations are adopting AI-driven fraud detection, behavioral analytics and continuous identity verification. These capabilities allow risk to be assessed dynamically as transactions occur. In 2026, speed and security can no longer be treated as opposing priorities. They must evolve together as part of a unified, intelligent system.

Open Finance and Data-Driven Personalization

Open finance is unlocking new possibilities for personalization by enabling secure, consent-based data sharing across ecosystems. In 2026, financial services will increasingly be shaped by user behavior, contextual signals and AI-powered insights.
This approach allows institutions to deliver more relevant, proactive and trusted experiences. Rather than offering generic products, financial services can adapt in real time to individual needs, preferences and risk profiles, strengthening long-term customer relationships.

Based on publicly available data from G2, Capterra, and Trustpilot, here are the top KYC software providers in 2025  and what makes them stand out.

1. ComplyCube (Rating: 5.0/5 on G2)

Visit Website | G2 Profile

ComplyCube is a scalable all-in-one platform trusted by Tier 1 financial institutions and fintechs. It offers AML screening, document verification, biometric checks, and travel rule compliance. Reviewers note its ease of use and responsive customer support.

2. EnQualify by Enqura (Rating: 5.0/5 on G2)

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EnQualify stands out with its AI on Mobile Edge technology running advanced AI directly on mobile devices, ensuring seamless performance even in low or no internet environments. With 30 frames per second real-time processing, it delivers unmatched speed, accuracy, and customer experience.

3. Entrust IDV (Rating: 4.4/5 on G2)

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Onfido, now part of Entrust, is a global leader in identity verification. It combines biometric liveness checks with document validation and supports 195+ countries. Reviewers highlight its accuracy and strong compliance standards.

4. iDenfy (Rating: 4.9/5 on G2)

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iDenfy offers an all-in-one platform covering identity verification, business verification, fraud prevention, and AML compliance. Supporting 200+ countries and multiple document types, iDenfy combines OCR accuracy with advanced fraud detection tools. Reviewers praise its speed, integrations, and hybrid approach (AI + human-supervised verification).

5. Incode (Rating: 4.6/5 on G2)

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Incode delivers enterprise-grade identity verification with advanced liveness and fraud detection. Its decentralized identity model appeals to banks and government projects. The company has also expanded through acquisitions like AuthenticID to strengthen its AI capabilities.

6. Ondato (Rating: 4.8/5 on G2)

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Ondato provides global identity and age verification with strong KYC/AML compliance. Its platform focuses on streamlining onboarding flows while ensuring regulatory agility. Reviewers highlight its simple user interface and reliable verification rates.

7. Shufti Pro (Rating: 4.7/5 on G2)

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Shufti Pro provides global KYC, AML, and KYB solutions, supporting over 3,000 document types in 150+ languages. It is praised for its accuracy and multilingual approach, though some users cite integration complexity.

8. Sumsub (Rating: 4.6/5 on G2)

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Sumsub provides KYC, KYB, AML, transaction monitoring, and fraud prevention — securing the entire user journey. With flexible rules engines and blockchain-aware compliance, Sumsub is popular among fintechs and crypto companies.

9. Trulioo (Rating: 4.5/5 on G2)

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Trulioo offers global coverage for identity verification, address checks, and business verification. It’s widely used by enterprises requiring compliance across multiple jurisdictions. Reviewers emphasize its scalability and worldwide document support.

10. Veriff (Rating: 4.3/5 on G2)

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Veriff delivers AI-driven automated identity verification with a focus on fraud prevention. Businesses appreciate its fast onboarding, though some reviews mention pricing challenges and limited customization.

What to Look for in a KYC Software Provider?

Choosing the right KYC provider goes far beyond ticking compliance boxes. The stakes are about customer trust, security, and long-term adaptability. Here’s what to evaluate:

• AI Leadership & Innovation: Look for vendors that push the boundaries of AI. At Enqura, over half of our 60+ engineers specialize in AI, building award-winning solutions like EnQualify that process 30 frames per second directly on mobile edge devices.
• Future-Readiness: Fraud tactics evolve daily. A strong provider should anticipate new threats from deepfakes to sophisticated replay attacks  and continuously upgrade detection models. EnQualify runs four advanced AI models simultaneously to safeguard institutions in real time.
• Security & Global Standards: Certifications like ISO 27001, COBIT, NIST, and SOX aren’t just badges they prove a commitment to international best practices and trust at scale.
• Customer Experience Focus: The best solutions don’t just prevent fraud; they make onboarding effortless. EnQualify ensures security without sacrificing user satisfaction.

How to Choose the Right KYC Provider?

When narrowing down your options, consider these non-negotiables:

Reliability with Proven Track Records

Go beyond promises examine a provider’s history. Enqura has delivered over a decade of uninterrupted service, supporting 70+ clients across banking, fintech, and crypto.

Agility to Match Regulation & Fraud Evolution

Compliance landscapes shift quickly. Your partner must adapt faster. Enqura’s proactive monitoring of regulations and fraud trends ensures clients are always ahead of the curve.

Partnership Mindset Beyond Contracts

A true partner invests in your success. Enqura fills knowledge and process gaps within client teams, often going beyond contractual limits to ensure smooth deployment and operational excellence.

Scalability from Startup to Global Bank

Whether you’re a digital-first fintech or a multinational bank, your KYC platform should scale seamlessly. EnQualify’s modular SDK – NFC, OCR, liveness, face match, and video call –  can work independently or in full integration, adapting to your growth.

Final Thoughts

The future of compliance isn’t just about meeting regulations; it’s about building trust and enhancing customer experience. Whether you’re a bank, fintech, or crypto exchange, choosing the right KYC provider can define how fast, secure, and user-friendly your onboarding journey will be.

EnQualify, alongside other global leaders, is shaping the next generation of digital identity verification  combining state-of-the-art AI, regulatory compliance, and customer-first design to set new benchmarks worldwide.

Additional Resources
G2 Best Identity Management Software

The Central Bank of the UAE has mandated that all licensed financial institutions must phase out SMS and email OTPs by March 2026. This regulation marks a turning point in digital banking security, setting a global precedent for stronger and more reliable authentication methods.

Why SMS and Email OTPs Are No Longer Secure?

Traditional OTPs sent via SMS or email are increasingly vulnerable:
• SIM-swap attacks allow criminals to hijack phone numbers.
• Phishing schemes trick users into entering OTPs on fake websites.
• Message interception exploits outdated telecom protocols.
• Delays and delivery failures frustrate customers.
• High telecom costs burden financial institutions.
These flaws have led to billions in fraud-related losses globally. The UAE’s regulation is not only about fraud prevention but also about modernizing payment infrastructure and improving customer trust.

The Rise of Passwordless Authentication

Instead of relying on phishable codes, banks are now shifting toward app-based and biometric authentication. Users confirm transactions directly within their mobile apps using Face ID, Touch ID, or secure PINs—a method that is both faster and far more secure.
This transition aligns perfectly with global fintech trends, where regulators and banks are increasingly adopting passwordless authentication as the new industry standard.

How EnSecure Delivers Compliance and Beyond?

EnSecure is Enqura’s advanced passwordless authentication platform, built to meet and exceed the UAE’s 2026 mandate. It offers:
• Passwordless Login with built-in biometrics (Face ID, Touch ID).
• Session binding and device integrity checks, blocking jailbroken or malware-infected devices.
• Asymmetric transaction signing for high-risk operations.
• Secure communication channel with full encryption across mobile, web, and server.
• Scalable architecture, supporting multiple applications and multiple device activations.
• PDF document signing/approval to extend security beyond logins.
These capabilities ensure not only regulatory compliance but also a future-proof digital banking experience.

Benefits for Financial Institutions and Customers

• Stronger Security: Reduced fraud from phishing, SIM-swaps, and replay attacks.
• Seamless Experience: Faster, frictionless logins and approvals.
• Cost Efficiency: No more reliance on expensive SMS infrastructure.
• Regulatory Advantage: Stay ahead of compliance deadlines and competitors.
March 2026: The Compliance Deadline
With the UAE setting the first global standard against OTPs, financial institutions that act early will gain both compliance and customer trust. March 2026 is not far away, and preparation must begin now.

Conclusion: Move From Codes to Trust
It’s time for banks and fintechs to leave phishable OTPs behind and embrace frictionless, passwordless trust.
Learn how EnSecure can help your institution comply with UAE regulations and deliver a next-generation authentication experience. sales@enqura.com

Additional Resources
entrepreneur.com
gulfnews.com

What Exactly is Generative AI?
Think of Generative AI as a creative problem solver. Unlike regular AI, which just analyzes and sorts through data, GenAI creates new data. It can generate realistic fraud scenarios, training fraud detection systems to recognize scams before they happen. This proactive approach helps financial institutions stay ahead of bad actors instead of just reacting to them.

The Tech Behind Generative AI
Neural networks, particularly Generative Adversarial Networks (GANs), help simulate fraudulent transactions, allowing banks to detect suspicious activities faster. Natural Language Processing (NLP) plays a key role in identifying phishing attempts and fraudulent communications before they deceive customers. Machine learning algorithms continuously adapt to evolving fraud tactics, refining their detection capabilities over time.

Traditional AI vs. Generative AI: What’s the Difference?
Regular fraud detection tools rely on past data to spot known fraud patterns. Generative AI takes things further by anticipating fraud before it happens. Traditional AI waits for fraud to occur and learns from it, while GenAI simulates potential threats ahead of time. This shift from reactive to predictive detection is what makes GenAI a game changer in financial security.

What Types of Fraud Can GenAI Detect?
Generative AI helps combat various forms of fraud. Identity theft remains a major threat, with criminals using stolen personal information to commit financial crimes. Credit card fraud continues to rise, leading to unauthorized transactions and costly chargebacks. Money laundering schemes use complex transactions to disguise illicit funds, making them difficult to detect. Phishing scams trick individuals into revealing sensitive data through deceptive emails and messages. Synthetic fraud, a growing issue, involves creating fake identities using a combination of real and fabricated details.

The Rising Cost of Financial Fraud
Fraud isn’t just a headache—it’s expensive. Global fraud losses surpassed $50 billion in 2023, with nearly half of all cases involving credit card scams. AI-driven fraud attempts have increased by 30% year over year. As cybercriminals become more sophisticated, financial institutions must adopt advanced fraud prevention technologies like GenAI to stay ahead.

The Biggest Challenges in Fraud Detection
Even with cutting-edge solutions, fraud detection faces significant challenges. Fraudsters constantly adapt, changing their tactics to evade detection. False alarms remain an issue, as traditional systems frequently flag legitimate transactions, frustrating customers. The sheer volume of financial data adds complexity, requiring fraud detection models to process vast amounts of information quickly. Banks must also balance security with compliance, adhering to strict regulations while maintaining efficient fraud prevention strategies.

How Generative AI Helps Train Fraud Detection Systems
One of GenAI’s most valuable applications is its ability to simulate fraud scenarios. By generating realistic examples of fraudulent behavior, it enables banks to detect emerging fraud patterns before they become widespread. Training fraud detection models with diverse and accurate data improves their effectiveness. Faster response times allow financial institutions to recognize and mitigate threats instantly.

Why Generative AI is Better Than Traditional Methods
Generative AI offers a proactive approach to fraud prevention. Unlike traditional AI, which reacts to fraud after it occurs, GenAI predicts and prevents fraud before damage is done. It continuously improves by learning from new data in real time, adapting to evolving threats. Reducing false positives ensures that legitimate transactions are not unnecessarily flagged, improving customer experience. The ability to handle massive data volumes efficiently makes GenAI an essential tool for modern fraud detection.

The Future of Fraud Prevention
Generative AI is still evolving, and its impact on fraud detection will only grow. In the near future, we could see AI stopping fraudulent transactions in real time, blocking them before they are completed. Automated compliance audits will ensure that financial institutions meet regulatory requirements without manual oversight. Personalized risk scoring will enable banks to assess the fraud risk of each transaction dynamically, based on real-time behavioral data.

Fraudsters aren’t slowing down, but neither is AI. Generative AI is already proving to be a powerful weapon in financial security, helping institutions predict, prevent, and respond to fraud faster than ever. The question isn’t whether banks should use GenAI—it’s how quickly they can adopt it before fraudsters find their next loophole.

Understanding Strong Authentication for Modern Security Needs

Strong authentication is the operationalization of multiple “authentication factors” in the form of successful combinations. It is especially used in security-first sectors such as finance, where password-based single-factor authentication is no longer sufficient in today’s digital world. With this authentication method, users’ accounts are protected and a strong defense shield is created against cyber threats in risky transactions that require high security. Security is maximized with the use of advanced security layers such as one-time password or biometric authentication. At the same time, user experience is improved with advanced identity verification processes supported by artificial intelligence and processes are completed very quickly.
Businesses can integrate strong authentication into their systems to ensure that workflows are not interrupted, to prevent potential problems in a crucial issue that affects consumer perception such as data security, and to establish brand perception and overall efficiency. The strong authentication process offers users advanced features such as secure login to mobile and web applications in accordance with legislation, signing transactions that cause financial risks and signing remote contracts. Especially in mobile and web-based applications, strong authentication processes prevent unauthorized access and ensure the security of user accounts. It creates great assurance for both the user and the institution in risky matters such as financial transactions or signing contracts remotely.

The Key Benefits of Strong Authentication

Strong authentication solutions used in many different sectors such as banks, digital banks, e-money institutions, payment institutions, insurance, intermediary institutions, and e-commerce offer many advantages to businesses. Let’s explore the advantages offered by strong authentication solutions, which have become the cornerstone of modern financial services in the digitalizing world.

Enhanced Security and Protection Against Cyber Threats

Strong authentication provides an effective defense against fraud and cyber attacks, especially in high-risk sectors such as financial services. It is critical for organizations that are responsible for ensuring the security of financial data. It offers multiple verification steps such as OTP (one-time password) instead of traditional methods such as passwords or PINs. Strong authentication not only prevents unauthorized access, but also increases security by proactively detecting potential threats. In this way, users are protected against cyber threats such as phishing, identity theft, and social engineering.

Legal and Regulatory Compliance

Data security is of critical importance, especially for financial institutions. Therefore, precautions taken against data breaches depend on strict laws and regulators. Strong authentication solutions help businesses comply with legal regulations and ensure security against data breaches. By ensuring that only verified people access sensitive data, it also ensures that legal obligations are fulfilled. In this way, the reliability of companies increases and the risk of reputational loss decreases. For example; ensuring that only verified users can log into systems helps meet GDPR requirements.

Enhanced User Experience

Strong authentication solutions allow users to perform their transactions quickly and securely. Authentication solutions, especially those integrated with advanced technologies such as productive artificial intelligence, maximize user satisfaction. Thanks to fast processes, verification processes are completed in a short time. Such user-friendly, secure authentication steps have a positive impact on the user experience and increase user loyalty.

Strong Authentication with EnSecure

Strong authentication is becoming a necessity in protecting companies against cyber threats. At this point, EnSecure makes a difference in digital security with innovative technologies based on generative AI. EnSecure offers multi-factor log-in, transaction signing, document signing, and multi app/channel authentication protecting digital channels against security threats.
For organizations, you can choose EnSecure, a multi-factor authentication solution for applications that require high level of performance and cost advantages and highly secure login. You can click here for detailed information about EnSecure, which is adapted to every scenario for a simple and seamless user experience and is 100 percent compliant with legal requirements. With EnSecure, you gain a simple and seamless user experience that ensures both compliance and ease across all scenarios.