Fintech Security Measures

Identity is the most misunderstood layer in financial services. Now it is becoming core infrastructure. Historically, financial services scaled through standardization and shared infrastructure. Identity has followed a different path: 𝟭. 𝗠𝗮𝗻𝘂𝗮𝗹 𝗶𝗱𝗲𝗻𝘁𝗶𝘁𝘆 Identity was established directly between the institution and the customer, typically in person. This ensured trust and control. But it limited scale, tying growth to physical presence. 𝟮. 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗶𝗱𝗲𝗻𝘁𝗶𝘁𝘆 Identity moved online, allowing institutions to onboard customers remotely and expand distribution. This solved physical constraints. But each institution built its own processes, leading to repeated verification and duplication. 𝟯. 𝗩𝗲𝗿𝗶𝗳𝗶𝗲𝗱 𝗶𝗱𝗲𝗻𝘁𝗶𝘁𝘆 Specialized providers and national identity schemes improved the quality and speed of verification. This made onboarding more reliable and easier to scale. But instead of convergence, it created a fragmented set of identity sources across markets.   𝟰. 𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝘆 𝗮𝘀 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 The number of identity systems increased, improving coverage for institutions operating globally. This gave access to more trusted identity sources. But it shifted the problem from verification to integration. 𝗔𝗻𝗱 𝘁𝗵𝗶𝘀 𝗶𝘀 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝘁𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺: As financial services become more cross-border, embedded, and real-time, identity is no longer a one-off step. It sits across onboarding, access, fraud, and compliance - but remains fragmented. There are now 150+ government-backed digital identity schemes worldwide, each built for a specific market, with no common standard. 𝗪𝗵𝗶𝗰𝗵 𝗺𝗲𝗮𝗻𝘀: • Every new market comes with a new identity integration • The same user goes through KYC again and again, depending on the provider and country • Risk and fraud decisions change by market because the underlying identity data is different • The product experience breaks across countries 𝗧𝗵𝗲 𝗻𝗲𝗲𝗱: It’s obvious that there is a clear need for orchestration. Much like payments moved from local, disconnected systems to global networks like Visa and Mastercard - replacing many individual connections with a single shared layer - identity is now going through the same shift. Hopae is building identity as the next infrastructure layer - a digital identity layer for the internet: • Access to multiple identity schemes through a single integration • Reusable identity across providers and countries, instead of repeated verification • Consistent identity signals across onboarding, authentication, and risk • Identity as an access layer, not a system to integrate Find out more here: https://lnkd.in/diHn8BY2 This is one of the biggest shifts in finance in decades: identity is becoming the protocol layer of global finance - not moving money but deciding who can. Opinions and graphics: my own

We used to believe #fraud was all about volume. Fraudsters would try thousands/millions of times, and even if only a few attempts succeeded, it was still enough for them to walk away with a significant amount of money. But Sumsub just released the Identity Fraud Report 2025–2026 which shows a major shift in fraud dynamics. We’ve officially entered the Sophistication Shift: fewer attacks, but each one highly tailored, AI-powered, and far more dangerous!! 𝗪𝗵𝗮𝘁 𝘀𝘁𝗼𝗼𝗱 𝗼𝘂𝘁 𝘁𝗼 𝗺𝗲: 🟥 Fraud rates dipped slightly to 2.22%, but the composition changed dramatically. Advanced fraud surged by 180% YoY. 🟥 Germany is now one of the safest markets with a 0.9% fraud rate thanks to stronger AML rules. But deepfakes and synthetic IDs are on the rise with 53% YoY increase. 🟥 We all know the Maldives for turquoise waters and honeymoon vibes… but guess what is it now also famous for? Deepfakes! They grew by 2,100% YoY. Welcome to paradise, AI edition! 🟥 Fraud targeting professional services (consulting, legal, accounting, freelance platforms) skyrocketed by 232% YoY. Europe still leads the “most protected” list with Luxembourg, Denmark, Finland but APAC and Africa recorded the fastest YoY fraud growth, showing exactly where fraudsters are shifting their attention. Today we’re seeing AI agents capable of generating fake IDs, forging documents, creating deepfake liveness videos, and automating entire fraud workflow end-to-end. Fraud-as-a-service is effectively SaaS now, dramatically lowering the barrier to entry for identity crime. Fraud is now a resilience problem! It’s converging with compliance, AI governance, payments and behavioral analytics. Static KYC is no longer sufficient. We need to implement new guardrails such as: deepfake-resistant verification, telemetry integrity, and multi-layered behavioral models. 👉If you're in fintech, AI, e-commerce or simply curious about how the landscape is shifting, this report is a must-read, seriously! https://lnkd.in/eUd4T74c #FraudManagement #AIFraud #TechTrends #IdentityFraud

RBI in their recent MPC meet, spoke about a very interesting concept, of doing away with SMS based OTP as an authentication mechanism. Now for a country that is used to 2 factor authentication, such a move could induce fear in the minds of customers. So, how can we build this principals based authentication mechanism, that still keeps the element of consumer trust with it? Got me thinking, we already have this in the blockchain world. Its called Zero Knowledge proofs. And while they are currently used to validate transactions, I can see how they can be tweaked for person authentication as well. So, what are ZK proofs? Let the Fintech Chronicler explain in 5 levels of difficulties: Level 1 - Toddler 👼 Imagine you have a cookie jar with a secret compartment. You can prove to your friend that you know where the secret compartment is by taking a cookie from it, without showing them where the secret compartment is. This is like a Zero Knowledge Proof - you prove you know something without revealing the secret. Level 2 - Teenager 🧒 Let’s say you have a rare pair of sneakers that you want to sell online, but you don’t want to reveal your identity. You can prove the authenticity of the sneakers (maybe by showing a purchase receipt or a certificate of authenticity) without revealing any personal information. This is similar to a Zero Knowledge Proof. Level 3 - College Student 👩 Imagine you’re applying for a loan, and the bank needs to verify your income. With a Zero Knowledge Proof, you could prove that your income is above a certain threshold without revealing the exact amount. This way, the bank knows you’re eligible for the loan, but they don’t know your exact income. Level 4 - University Graduate 👩🎓 In a digital payment system, Zero Knowledge Proofs can be used to verify transactions without revealing sensitive details. For example, you could prove that you have sufficient balance to make a payment without revealing your actual balance or other transaction details. Level 5 - Expert 👩💼 Zero Knowledge Proofs are crucial in creating secure, private digital payment systems. They allow for the validation of transactions without the need to share sensitive data, thus reducing the risk of data breaches. For instance, in a frictionless checkout process, a customer can prove they have valid credit without revealing their card details, making the transaction secure and private. Its time to put to use the modern day technologies to solve for a very traditional problem statement. #fintech #rbipolicy #payments

Who Controls Money Now? It’s not the “Rails”; it’s the “Identity” layer Notable Mention: David Birch is the OG on this topic and we first got to discuss the above over a coffee in Romania last year during the BANKING 4.0 | NOCASH EVENTS event in Sinai (if you don’t follow his content, then suggest you do so) ——— For decades, payments were about rails - Visa vs. Mastercard, SWIFT vs. RTP, Cards vs. A2A. Whoever owned the rails owned the flow of money That’s no entirely accurate any longer. Increasingly, money moves across a “messy” mix of APIs, wallets, tokens, and smart contracts - faster, cheaper, and everywhere. The good news? They’re increasingly interoperable. Money now flows faster and further than ever before but the real power has quietly shifted from how money moves to who is allowed to move it, under what rules, and with what limits! ——— I guess the question arises - “What becomes the true “control plane” of finance in this programmable era - the thing that decides which transaction lives or dies?” While Interoperability gives finance its horizontal scale - the ability for systems to talk. It’s 🚨 IDENTITY 🚨 that provides the vertical intelligence - the ability for systems to decide Identity has moved from a box you tick at onboarding (“KYC done”) to a continuous, real-time risk engine that governs every financial action. Here’s what that looks like incressingly in practice 👇 ☑️ Token-first credentials ☑️ Continuous risk scoring ☑️ Delegated permissions ☑️ Portable trust ☑️ Privacy by architecture In this world, your “identity mesh” becomes your core product - unifying login, risk, AML, and consent into a single policy layer across journeys and geographies ——— One would anticipate that in the coming years - fintech won’t be won by faster rails, it’ll be won by whoever builds the most adaptive, privacy-preserving, interoperable identity “control plane” (one which will also identify you in the “after-life”) In conclusion: 🟢 Interoperability makes finance programmable 🟣 Identity makes programmable finance trustworthy #identitylayer #interoperability #futureoffinance #fasterrails

"For decades, catching financial crime meant hiring more people to review more alerts. Most of those alerts turned out to be nothing. Speaking at Semafor’s Banking on the Future Forum in Washington last week, Revolut U.S. CEO Cetin Duransoy said the FinTech’s AI transaction-monitoring systems now perform “statistically significantly better than human reviews of the transactions.” Human investigators at the company now focus exclusively on higher-risk cases. What the System Actually Does Revolut’s compliance stack runs across 39 countries, with agentic AI handling both know-your-customer onboarding and ongoing transaction monitoring. The architecture separates work by risk level: AI handles the high-volume, lower-complexity screening layer while human investigators take cases that require judgment. The operational logic is straightforward. Retail Banker International reported that traditional AML systems generate false positives on up to 95% of alerts. Every one of those false positives lands in a human queue, consumes investigator time and produces nothing. An AI system that cuts false positive volume frees investigators for work that static rule-based systems can’t handle. Global AML compliance costs have climbed above $274 billion annually, with much of that spending going toward handling low-quality alerts rather than catching actual criminals. The economics of that model were already strained. Real-time payments made them worse. Banks processing euro transfers under SEPA Instant Payments rules must complete AML checks, sanctions screening, and fraud detection within a 10-second window, a requirement legacy compliance systems weren’t built to meet. When the Federal Reserve lifted FedNow® Service’s transaction limit from $1 million to $10 million last year, high-value instant wire transfers that once gave compliance teams until the end of the day for review began requiring real-time decisions." [more from the article via the link] https://lnkd.in/d7QSEmiA

🔍 𝐒𝐮𝐬𝐩𝐢𝐜𝐢𝐨𝐮𝐬 𝐀𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 (𝐒𝐀𝐑): 𝐀 𝐕𝐢𝐬𝐮𝐚𝐥 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 𝐟𝐨𝐫 𝐀𝐌𝐋 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 After working with AML teams across banks, NBFCs, and fintechs, I've created a comprehensive SAR Reporting Framework that bridges regulatory requirements and practical implementation. 📊 𝐖𝐡𝐚𝐭'𝐬 𝐈𝐧𝐬𝐢𝐝𝐞: ✅ Complete investigation workflow (Alert → Triage → Investigation → Filing) ✅ Red flag identification across 4 categories ✅ The 3 stages of money laundering with visual indicators ✅ SAR narrative template (Who/What/When/Where/Why) ✅ Decision criteria for "Reasonable Grounds to Suspect" ✅ Quality assurance framework & training roadmap ✅ 9 professional diagrams & decision trees 🎯 𝐖𝐡𝐲 𝐓𝐡𝐢𝐬 𝐌𝐚𝐭𝐭𝐞𝐫𝐬: SAR filing isn't just compliance it's our defense against money laundering and financial crime. This framework helps compliance teams: • Identify suspicious patterns faster • Conduct evidence-based investigations • Document decisions with clarity • Meet FIU-IND timelines (10-day filing requirement) • Build institutional knowledge through visual learning 💡 𝐊𝐞𝐲 𝐈𝐧𝐬𝐢𝐠𝐡𝐭: "Reasonable Grounds to Suspect" = pattern recognition, not criminal proof. Your role is flagging suspicion law enforcement does the investigation. 📥 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐭𝐡𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 (𝐚𝐭𝐭𝐚𝐜𝐡𝐞𝐝 𝐏𝐃𝐅) #AML #KYC #SAR #Compliance #FinancialCrime #Fintech #Banking #FIUIND #PMLA #MoneyLaundering #ComplianceOfficer #AMLAnalyst #KYCAnalyst #FinancialCrimePrevention #RiskManagement #BankingCompliance #LinkedInLearning #FinCrime

The HMT Supervision Report 2023-24 offers a comprehensive analysis of the UK’s AML/CTF supervisory activities, highlighting risk assessments, enforcement actions, regulatory changes, and future priorities. The report is a critical resource for financial crime officers, outlining emerging threats, supervisory challenges, and strategic priorities under the UK’s Economic Crime Plan 2023-26. 🔍 Takeaways 1️⃣ Strengthening AML/CTF Supervision in the UK • 25 supervisory bodies oversee 90,000+ businesses, ensuring compliance with AML/CTF regulations. • Increased focus on risk-based approaches, targeting high-risk firms in finance, real estate, gambling, and professional services. • Expansion of regulatory oversight, including additional data collection on supervisory effectiveness. 2️⃣ Anti-Circumvention and Sanctions Compliance • The UK Sanctions and Anti-Money Laundering Act (SAMLA) mandates enhanced screening of financial transactions. • Supervisors now assess firms’ controls to prevent sanctions breaches, focusing on Russia-related financial flows. • Increased cross-agency coordination to detect trade-based money laundering (TBML) and sanctions evasion. 3️⃣ Heightened Focus on Financial Crime Risks in Crypto & Fintech • #Cryptoassets, e-money, and BNPL platforms are high-risk sectors due to AML vulnerabilities. • 86% of crypto firms’ applications for AML supervision were rejected or withdrawn due to non-compliance. • Supervisors identified deficiencies in CDD, transaction monitoring, and fraud risk controls across fintech firms. 4️⃣ Risk-Based Approach: Sector-Specific Insights • Financial Services: Retail banking, e-money, wealth management, and wholesale banking remain high-risk. • Real Estate: Growing use of shell companies and offshore structures to facilitate money laundering. • Gambling: Remote (online) casinos and betting remain high-risk, with weak controls over high-value transactions. • Professional Services: Trust & company service providers (TCSPs) remain major enablers of illicit finance. 5️⃣ Enforcement Trends and Increased Supervisory Scrutiny • Rise in AML fines and enforcement actions, targeting non-compliance in financial services, crypto, and real estate. • Supervisors identified an increasing number of unregistered firms conducting AML-regulated activity. • Random risk-based assessments found that 9% of firms required reclassification to higher risk levels. 📌 Recommendations ✔ Enhance KYC and sanctions screening to detect complex money laundering networks. ✔ Implement AI-driven transaction monitoring to mitigate crypto and BNPL risks. ✔ Strengthen risk-based approaches in high-risk sectors like real estate, gambling, and professional services. ✔ Prepare for increased regulatory scrutiny and align AML frameworks with UK’s Economic Crime Plan 2023-26. ✔ Engage with regulatory bodies proactively to stay ahead of AML/CTF #compliance expectations. #AML #FinancialCrime #Sanctions

The AML landscape is evolving in 2025. Here’s what’s changing ⬇️ ➡️ A new watchdog The Anti-Money Laundering Authority (AMLA) launches in July 2025. It will oversee high-risk financial institutions in the EU and enforce compliance with the power to sanction violations. ➡️ Stricter Customer Due Diligence (CDD) High-risk customers and transactions? Enhanced due diligence is required. Low-risk scenarios? Simplified procedures apply. A harmonized approach closes jurisdictional loopholes. ➡️ More entities under the AML umbrella Crypto providers, crowdfunding platforms, mortgage lenders, and more are now included. These updates reflect the evolving risk landscape. ➡️ Shining a light on ownership Beneficial ownership transparency is mandatory. Complex structures designed to obscure ownership will face stricter rules. ➡️ Anonymous instruments are out Anonymous bank accounts and payment tools? Banned. Traceability is the priority. ➡️ New tech, new possibilities AI and machine learning will revolutionize transaction monitoring, risk assessment, and compliance automation, reducing false positives. ➡️ Cash caps in place Cash transactions above €10,000 are banned, and stricter ID checks apply to those between €3,000 and €10,000. ➡️ Non-financial sectors under the spotlight Art markets, real estate, gaming, and luxury goods will face tighter scrutiny to address money laundering risks beyond traditional finance. ➡️ Cross-border collaboration enhanced More information sharing among regulators means a stronger, united front against financial crime. This is a massive shift, and preparation is key. Are you ready for 2025?

At Sphere, we’ve evaluated whether to combine fraud risk management and AML/CTF functions under a FRAML (Fraud and Anti-Money Laundering) framework or keeping them separate, balancing regulatory compliance, operational efficiency and resource considerations. Below are highlights of the advantages and challenges with both approaches. The Case for FRAML Advantages: Regulatory Alignment: Integrated teams can streamline compliance with frameworks such as FATF recommendations, FinCEN guidance, and The Wolfsberg Principles. Shared data and centralized oversight improve detection of patterns across fraud and other financial crimes. Operational Efficiency: Combining functions reduces silos, enabling faster decision-making and resource sharing–a critical advantage for startups with limited teams. Technology Synergies: AI tools like transaction monitoring systems or machine learning models can simultaneously flag fraud and suspicious AML activity, reducing overlap and maximizing insights. Challenges: Diminished Focus: Balancing competing priorities between fraud and AML/CTF teams can dilute focus. Blind Spots: The risk of overreliance on shared tools or processes may create blind spots in specialized areas. Heightened Scrutiny: Regulators may scrutinize combined functions more rigorously to ensure effectiveness. The Case for Keeping Functions Separate Advantages: Specialized Expertise: Separate teams allow for deeper focus and domain-specific expertise, essential for navigating region-specific risks like cash-intensive economies in Latin America or evolving digital payment fraud trends in Asia. Regulatory Clarity: Clear boundaries between fraud and AML/CTF teams can simplify audit and compliance processes with more clarity for regulators. Challenges: Inefficiencies: Silos can lead to inefficiencies, such as duplicative data analysis and slower response times. Costs: Separate budgets for fraud and AML technology can strain resources for startups working under tight cost constraints. Recommendations - Start with scalable technology by choosing tools that support both short-term needs and long-term growth. - Establish clear governance frameworks that use regulatory and risk management principles to guide your structure and practices. - Focus on data integration as shared data drives better insights and faster responses to threats. - Prioritize cost-efficient solutions leveraging cloud-based AI tools to optimize resources while maintaining robust compliance. - Build trust and confidence with customers, regulators and investors who prioritize transparency, making strong compliance a competitive advantage. Ultimately, whether you combine or separate functions, the key is to align strategy with compliance obligations and operational goals.

🔐 SECURITY BY DESIGN 🔐 Most security incidents don't happen because organizations lack security tools. They happen because security was considered too late. Security by Design is the practice of embedding security into every phase of the application, cloud, and infrastructure lifecycle — from requirements gathering to deployment and continuous monitoring. Instead of asking: ❌ "How do we secure it after it's built?" Security by Design asks: ✅ "How do we build it securely from day one?" I created this infographic as a practical guide covering the key areas security architects, cloud engineers, developers, DevSecOps engineers, and security teams should evaluate when reviewing an application or cloud-based solution. 📌 Key areas covered: 🔹 Requirements & Business Context - Business objectives - Regulatory requirements - Data classification - Security requirements 🔹 Architecture & Design Review - Threat Modeling - Trust Boundaries - Attack Surface Analysis - Security Architecture Patterns 🔹 Identity & Access Management - Authentication - Authorization - Least Privilege - Privileged Access Management - Federation & SSO 🔹 Data Security - Encryption at Rest - Encryption in Transit - Key Management - Data Retention - Data Classification 🔹 Application Security - OWASP Top 10 - Input Validation - Secure Coding Practices - API Security - Session Management 🔹 Cloud & Infrastructure Security - Network Segmentation - Security Groups - Kubernetes Security - Workload Protection - Secure Configurations 🔹 DevSecOps & SDLC - SAST - DAST - IaC Scanning - Dependency Management - CI/CD Security Gates 🔹 Monitoring & Incident Response - SIEM - Logging - Alerting - Threat Detection - Response Readiness 🔹 Third-Party & Supply Chain Security - Vendor Risk - Open-Source Dependencies - Software Supply Chain Controls One of the most important principles I have learned throughout my security journey: 🛡️ Security is not a phase. 🛡️ Security is not a tool. 🛡️ Security is not a checklist. Security is an engineering mindset that should be present in every design decision. When security becomes part of architecture rather than an afterthought, organizations build systems that are: ✅ More resilient ✅ Easier to maintain ✅ Easier to audit ✅ Better prepared for modern threats The earlier security is introduced, the lower the cost of fixing vulnerabilities and the higher the overall security posture. What additional checks or design-review questions do you typically include during Security by Design assessments? #CyberSecurity #SecurityByDesign #SecurityArchitecture #CloudSecurity #ApplicationSecurity #DevSecOps #ThreatModeling #ZeroTrust #IAM #SecureSDLC #OWASP #SecurityEngineering #InfoSec #CloudArchitecture #SecurityAssessment