Fintech Security Measures

AML, KYC & CFT – Briefly Explained Like You’re 7 Years Old Imagine you own a small lemonade stand 🍋. Before selling to anyone, your parents give you three important rules: 1️⃣ Know who you’re selling to You wouldn’t sell lemonade to a stranger wearing a mask and hiding their face, right? That’s KYC – Know Your Customer. It means Banks and Financial institutions must properly identify their customers before allowing them to open accounts or move money. 2️⃣ Watch out for bad money What if someone tries to pay you with fake cash or stolen money? You’d want to stop that immediately. That’s AML – Anti-Money Laundering. It’s all about preventing criminals from cleaning “dirty money” through your institution – banks and fintech apps. 3️⃣ Don’t help the bad guys What if someone wants to buy 1,000 cups of lemonade to fund something harmful? You’d refuse right? That’s CFT – Counter Financing of Terrorism. It ensures money isn’t used to support dangerous activities. So in simple terms: • KYC = Know who your customer is and protects identity • AML = Stop dirty money and protects the financial system • CFT = Stop money from reaching bad people and protects society Fintechs and banks follow these rules to keep the financial system safe for all of us. Because the truth is: 👉 Without trust, money stops moving. 👉 Without compliance, trust collapses. No AML. No KYC. No CFT. No safe financial system. Compliance isn’t just a regulatory requirement — it is the invisible infrastructure powering every secure transaction you make. And that is the real backbone of modern finance.

#Banking | #FinTech : Reserve Bank of India (RBI) has issued Directions on Framework on Authentication Mechanisms for Digital Payment Transactions. Principles for authentication of digital payment transactions - The technology and process deployed for authenticating a payment instruction by the Payment System Provider / Payment System Participant(s) shall comply with the following principles: a. Minimum two factors of authentication b. At least one of the factors to be dynamic  Issuers may also explore using DigiLocker as a platform for notification and confirmation for high-risk transactions. . Cross-border transactions - The directions outlined above is not applicable to cross-border digital payment transactions. However, card issuers shall, by October 01, 2026, put in place a mechanism to validate non-recurring, cross-border card not present (CNP) transactions, where request for authentication is raised by an overseas merchant or overseas acquirer. To ensure compliance, card issuers shall register their Bank Identification Numbers (BINs) with card networks. b. Further, a risk-based mechanism for handling all cross-border CNP transactions shall also be put in place by card issuers by October 01, 2026. 

No one audits your fintech company until everyone does. So here are 6 things I’d review if I were scaling a fintech. At the beginning, everything works. • Your scrappy setup • Your one-size-fits-all contract • Your "we’ll deal with that later" mindset And in the early days, that’s fine. • You’re small • You’re fast • No one’s watching too closely But then you grow. • More users • More money • More visibility And that’s when things shift. • Regulators start paying attention • Investors ask harder questions • And the systems you built on Day 1 start to crack on Day 500 I’ve seen this pattern in fintech more than any other space. • Speed gets the spotlight • But structure builds the stage If you’re growing - good. But don’t let momentum blind you. The legal stuff you ignored at the start? It won’t ignore you later. So if you want to future-proof your legal foundation in fintech, here’s what I recommend: 1 // Schedule regular legal "Health Checks" • Review contracts, compliance policies, and data handling every 6–12 months • Don’t wait for a problem to do it • Involve legal counsel familiar with the fintech space to keep up with RBI, SEBI, and DPDP changes 2 // Upgrade your contracts proactively • Replace generic templates with sector-specific agreements • Make sure your terms with banks, partners, vendors, and users reflect your current scale, products, and risks 3 // Stay ahead of regulatory shifts • Monitor RBI, SEBI, DPDP updates • Subscribe to official circulars and advisories  • Adjust your systems before you get flagged Assign someone to own compliance and tracking if you haven’t already. 4 // Update your compliance & audit trail • Scale KYC, AML, and data localization compliance process with your user base • Maintain clear, audit-friendly documentation • Record every legal and compliance decision 5 // Train and communicate internally • Make sure your team understands the latest protocols • Train new and existing employees on privacy, fraud, and data handling • Communicate escalation paths clearly 6 // Build for scale, not just survival • Scrutiny increases with revenue. Investors and regulators expect compliance by design • Professionalize your documentation, adopt compliance tools, and formalize board oversight Don’t just build momentum - build resilience. • Schedule your next legal check-in • Update your contracts now, not later • Build a foundation ready for Day 500 and beyond Preparation is what keeps success from turning into a crisis. That’s the real foundation of lasting growth. --- ✍ Tell me below: Do you build for resilience?

DPDP Act Decoded #30: Lifecycle Mapping — From Collection to Deletion (A Fintech Onboarding Flow) Most privacy programmes still map notices, consents and policies in silos. That is not how systems operate. Under the DPDP framework, compliance becomes clearer when you map one system end to end. Take a fintech onboarding flow. A user enters mobile number and PAN, uploads documents, completes verification, gets risk-screened, opens an account, receives communications, and eventually exits. This is not one privacy event. It is a chain of processing events across systems and actors. 1 Collection defines the system At collection, the fintech must show what data is processed, why, how rights can be exercised, and how grievances may be raised. Sections 4, 5 and 6, read with Rule 3, frame the basis of lawful consent-based processing. Where consent is used, it must be free, specific, informed, unconditional, unambiguous, and given through a clear affirmative action. This is not just a notice issue. It is a product design issue. 2 Use is a chain of handoffs KYC vendors, fraud engines, cloud and communication platforms all form part of the flow. Each handoff is a processing event. Section 8(1) is explicit: the Data Fiduciary remains responsible for processing on its behalf. You can outsource processing. You cannot outsource responsibility. Processor engagements must be governed by a valid contract and reflected in system design. 3 Decisioning raises the accuracy bar Where data is used to make a decision affecting the user, or disclosed to another Data Fiduciary, completeness, accuracy and consistency matter. Section 8(3) makes this a legal requirement. Weak pipelines here create legal risk. 4 Security must show up in operations Section 8(5) requires reasonable security safeguards. The Rules translate this into measures such as access control, logging, monitoring, backup and processor safeguards. Not just policy. System behaviour. 5 Breach response must be designed Section 8(6) requires notification to the Board and Data Principals. Rule 7 adds operational detail, including immediate intimation and follow-up information to the Board. The system must support detection, escalation, containment and coordination. 6 Deletion is where systems fail Is the purpose still served? Has consent been withdrawn? Is retention required by law? Has erasure been carried out across fiduciary and processors? Section 8(7), Section 8(8) and Rule 8 make this an operational obligation, subject to retention required by law. For fintechs, DPDP erasure must be reconciled with other applicable retention laws. Do not map compliance by document. Map it by lifecycle: collection → validation → sharing → decisioning → storage → grievance → breach → deletion That is where DPDP compliance becomes real. Relevant Provisions Sections 4, 5, 6, 8(1), 8(2), 8(3), 8(5), 8(6), 8(7), 8(8) Rules 3, 6, 7, 8 #DPDPAct #DataProtection #Fintech #Compliance #DPAPA #DPAP

🚨📝 27 NOV 2025. #PSD3 #PSR #Payments. EU lawmakers just agreed on PSD3 + the new Payment Services Regulation (PSR) - a major overhaul of how payments, fraud prevention and data access will work across Europe. One message stands out: if a provider fails to prevent fraud, they pay for it. 🔍 Key Takeaways: ▶️ PSPs carry the fraud bill. If a provider doesn’t implement proper fraud controls, it must cover the full customer loss. This includes impersonation scams, as long as the victim reports it. ▶️ Name-IBAN checks become mandatory. If the payee name doesn’t match the identifier, the PSP must stop the transfer and alert the payer. ▶️ Receiving PSPs must freeze suspicious inflows. They become the choke point for detecting mule accounts. ▶️ Online platforms face liability too. If they fail to remove flagged fraudulent content, they must reimburse PSPs that refunded victims. This closes a major DSA loophole. ▶️ Customers get real humans. Not just chatbots. PSPs must provide access to human support for fraud issues. ▶️ Cash access gets a boost. Shops will be able to offer €100–150 withdrawals, without forcing you to buy anything. A big win for rural areas. ▶️ Open banking barriers fall. Banks can’t block or discriminate against AIS/PIS providers. A list of “forbidden obstacles” will enforce real #OpenBanking. ▶️ Device makers must open up payment interfaces. Mobile and electronic service providers must let apps store and transfer payment data on fair terms. ▶️ Crypto gets a shortcut. #CASPs authorised under #MiCA can access a simplified licensing path when offering payment services. ▶️ Clearer fees. Currency conversion, ATM costs, and all charges must be shown up-front, before the payment is made. 🤷♂️ The So What? #Compliance #Fintech should: ✅ Rebuild fraud frameworks, especially around impersonation, risk scoring, authentication and mule monitoring. ✅ Prepare for stricter liability, with enhanced logging, evidence retention and customer support training. ✅ Check open banking readiness, including APIs, permission dashboards and non-discriminatory access rules. 📩 How are your teams preparing for PSD3/PSR’s fraud-liability shift? Curious to hear practical views from PSPs and fintech founders. #PSD3 | #PSR | #Payments | #FraudPrevention | #Fintech | #OpenBanking | #FinancialServices | #Regulation | #EUlaw

What happens when you Vibecode a Fintech application? 😬 During a recent engagement at SecurityWall we uncovered a critical access control failure caused by multiple small mistakes compounding into a critical-impact vulnerability. Like most fintech apps, users were required to enter a 6-digit PIN / FaceID before viewing full card details a control aligned with PCI DSS requirements and general secure design principles. Before PIN verification, the UI correctly displayed: • Masked PAN Only the last 4 digits visible So far, so good. 🚨 What We Actually Found The backend endpoint: /api/v1/cards/view?cardId=10103 …was accessible before PIN verification. While the response included the expected: "masked_card_number": "**** **** **** 1409" It also exposed an additional object: "pvtInfo": { "cvv": "123", "card_number": "000000000", "name": "namee", "expire": "00/99" } This completely bypassed PIN / FaceID protection, leaking full card details directly from the API. This issue clearly impacts: • PCI DSS Req 3 – Protection of stored cardholder data • PCI DSS Req 7 & 8 – Restrict access based on business need & strong auth And Then It Got Worse: The same endpoint was also vulnerable to a classic Insecure Direct Object Reference (IDOR). By simply changing: cardId=10103 → cardId=10102 An attacker could retrieve another user’s full card details no authorization checks, no ownership validation. This single chain of issues leads to: PCI DSS violations (PAN & CVV exposure, lack of access control) Authentication & authorization bypass High-impact financial fraud risk Potential mass card data exposure at scale Key Takeaways: • UI security ≠ API security • Masking on the frontend means nothing if the backend leaks data • Authorization must be enforced server-side, per object • Sensitive fields should never be returned unless absolutely required This is how small access control gaps snowball into critical fintech breaches. Security isn’t about adding more controls, It’s about placing the right controls at the right layer. #CyberSecurity #FintechSecurity #PCICompliance #IDOR #APISecurity #BugBounty #Pentesting #Vibecoding

The Bank of Ghana Board Governance Directive to Payment Service Providers basically says , Time to Grow Up ! (and you have 6 months to do it) In June 2025, the Bank of Ghana ( Ghana's Central Bank) released its Corporate Governance Guidelines for Payment Service Providers. For me I think its a call to leadership. These guidelines don’t merely set minimum standards. They signal the central bank’s expectation that Ghana’s digital finance sector is no longer in its experimental phase. It is systemically important. And with that importance comes accountability, transparency, and—most importantly—governance maturity. If you’re a fintech founder, investor, or executive, here’s what’s now mandatory under the new rules: -Minimum of 3 board members, with at least two—including the CEO—ordinarily resident in Ghana. -Board majority must be non-executive directors. -At least one-third must be independent directors (for DEMIs and EPSPs). -No more than one-third can be related persons. -Separation of Chair and CEO roles—no one individual may serve as both. -Mandatory board subcommittees for Audit and Risk, each chaired by independent directors. -Annual board declarations of compliance, plus formal board evaluations. -External board evaluations every 3 years. -Director induction within 3 months of appointment and certification every 4 years. -Governance charters, succession planning, conflict of interest policies, and a fit-and-proper test for all key management personnel. Across Africa, we’re seeing similar shifts—Nigeria tightening capital rules, Kenya aligning consumer protection and data policy, South Africa requiring bank-level compliance from fintechs. For those of us who’ve worked at the intersection of innovation, digital policy, and board governance, this is a familiar inflection point. And it’s one I’ve been reflecting on, especially in conversations with founders and regulators across the continent. Why I’m Paying Attention As someone who has worked with fintechs, advised boards, and helped shape digital strategy across Africa, I believe we’re at a governance inflection point. The institutions that will thrive in this new era are not just the most agile—but the most accountable. Fintech boardrooms now need directors who can do more than approve strategy. They must understand risk, tech, regulation, and long-term resilience. This is also an opportunity. For women in tech leadership, for pan-African operators, and for experienced board advisors—this is the time to step forward. The ecosystem needs directors who are not just regulators of risk, but translators of innovation. FULL Article https://lnkd.in/dZnYPGQG

AI is rewriting the rules of fintech. ISO 42005 is here to make sure we play by the right ones. While global regulators are scrambling to catch up, ISO 42005 gives fintech leaders a proactive way to govern AI from risk to resilience. Most frameworks focus on how AI is built. This one focuses on how AI behaves. 🧠 Why it matters in fintech: ➟ When algorithms decide who gets a loan ➟ Flag a transaction ➟ Trigger onboarding  ➟ You’re not just managing code. ➟ You’re managing consequences. 🎯 That’s why I’ve broken down ISO 42005 into a simple, 1-page cheat sheet tailored for fintech teams. 🎯 From credit to compliance, this is what leaders need to know to stay ahead of the next wave of AI regulation. 🔍 Inside the cheat sheet: ↳ What ISO 42005 is (and what it’s not) ↳ Who needs to care and why ↳ What a compliant AI Impact Assessment really requires ↳ How it aligns with ISO 42001, GDPR & the EU AI Act ↳ Where fintechs can start today This cheat sheet is based on the ISO 42005 implementation report by AI & Partners, which I co-authored and published today. The full report is linked in the first pinned comment. ♻️ Repost if AI governance is on your radar. 🔔 Follow Nadir Ali for more.

We've built identity verification systems for some of India's largest banks, NBFCs, and fintechs. Systems that millions of customers go through every month One thing I've come to believe deeply through this work: model accuracy is what separates a real identity verification system from a passable one. Liveness models that hold up against deepfakes and injection attacks. OCR models that read regional language documents at near-perfect accuracy. Face match models that don't drop in low light That's the foundation everything else gets built on, and it's where we've invested the most as a company The institutions getting these right are operating at a completely different tier from everyone else. But until now, there's been no way to see that gap from the outside So we built one India's first production-data benchmark report on digital onboarding, pulled from anonymized verification flows across banks, NBFCs, fintechs, insurance, and e-commerce platforms. It lays out what top-performing systems are actually doing across liveness, Video KYC, and OCR, where the median sits, and the annual business impact of closing the gap If you run, build, or invest in onboarding infrastructure, this is the reference point the industry has been missing Report link in the comments Kedar Kulkarni Navien R. Nupura Ughade

🚨🏦 A man in the Netherlands was arrested after opening 46 bank accounts using deepfakes and stolen identity documents. The fraudster altered his own selfies to pass identity checks at a bank. The onboarding process there required a photo ID and a selfie. The system verified whether they matched. The stolen identity documents came from social media and from a fake rental listing. People who responded to the listing were asked to send their IDs for "verification", and those documents were later used to open accounts. The fraud came to light when one application didn't line up: A woman's ID was paired with a male selfie. This led to a wider review, which uncovered dozens of fraudulent accounts. Prosecutors are seeking a 30-month prison sentence. A verdict is expected on March 31. This case illustrates how static identity data can be misused when security measures are inadequate. Here are some practical steps fintechs can take to close these gaps: 𝟭/ Verify real human presence with Certified 3D Liveness Detection. Instead of relying on spoofable 2d selfies or videos, it analyzes the natural perspective distortion of a real 3D face when the user moves slightly toward the camera. This approach helps confirm there is a real person in front of the camera, not a deepfake, injected media, or someone presenting another person's image. 𝟮/ Use 1:N biometric search for deduplication. Checking each new face against existing users helps prevent one person from creating multiple accounts under different names. 𝟯/ Check documents for physical presence and signs of manipulation. It's not enough to extract data from IDs. Systems need to confirm the document is real, present during capture, and not altered. Fortunately this doesn't require a mix of tools - it's all covered in FaceTec, Inc.'s Identity Verification Suite. It helps leading organizations streamline user onboarding and recurring verification, while effectively curbing fraud. Full story: https://lnkd.in/deVNWHT8 ▂▂ Follow Ilya Vlasov 🕵️♂️ for more insights on #fraudprevention!