Expleo Group's FaXimmé Simulator for Proactive Fraud Prevention

FaXimme is our ISO8583 that can help host simulation, 20+ schemes support, functional, and performance testing, switch testing, message parser and validation between two interfaces, API driven test automation and CICD integration. FaXimme ISO20022 is underway as well by May 15.

PYMNTS: Embedding Security: Designing Fraud Risk Out of Business Transactions: Embedded payments are becoming a core feature of modern business platforms, weaving transactions directly into everyday operational workflows. As payments shift, however, fraud risk shifts with them. In embedded environments, threats can no longer be managed effectively through point solutions that activate only after a transaction is already in motion. Instead, fraud prevention must move […] The post Embedding Security: Designing Fraud Risk Out of Business Transactions appeared first on PYMNTS.com. http://dlvr.it/TRF4Nn #payments #fintech

At some point every industry has to confront a difficult truth: The biggest risks are not always technical failures. Often they are workflow failures. Real estate transactions are beginning to reach that realization. According to the Federal Bureau of Investigation’s Internet Crime Complaint Center, billions of dollars have been lost to Business Email Compromise and wire fraud targeting property closings. But what’s striking is how these attacks actually work. They rarely break encryption. They rarely hack banking systems. Instead, attackers exploit the coordination layer of the transaction itself. A modern real estate closing involves a network of participants: buyers, sellers, agents, title companies, lenders, banks, and digital platforms. Communication moves across email threads, document portals, messaging systems, and financial networks. As the closing date approaches, timelines compress and information moves quickly. That is where attackers step in. They observe the workflow, compromise or impersonate a participant, and inject fraudulent instructions at the moment funds are expected to move. Because the request appears inside a familiar conversation and arrives at the correct time, it can pass through several sets of eyes before anyone realizes something is wrong. By then, the funds are gone. What this reveals is not just a cybersecurity issue. It is a systems architecture problem. We have strong protections for infrastructure. Banks secure payment rails. Platforms secure accounts. But the transaction workflow itself — the coordination layer between participants — has never had a unified integrity framework. Solving that requires thinking about transactions the way other industries think about infrastructure. Cybersecurity governance frameworks such as the NIST Cybersecurity Framework and the ISO/IEC 27001 protect systems. Financial standards such as PCI DSS protect payment networks. Threat analysis frameworks such as MITRE ATT&CK help organizations understand how adversaries operate. The next challenge may be protecting the integrity of the transaction workflow itself. That means ensuring that identity, communication, instructions, and funds authorization remain securely bound to the specific transaction they belong to — producing verifiable evidence that the transaction has not been manipulated. #BusinessEmailCompromise #FraudPrevention #TransactionSecurity #CyberSecurity #PropTech #FinTech #DigitalTrust #FinancialCrime #InformationSecurity #RiskManagement #IndustryStandards #RealEstateTechnology #Governance Fenrir Consulting Group

PYMNTS: Embedding Security: Designing Fraud Risk Out of Business Transactions: Embedded payments are becoming a core feature of modern business platforms, weaving transactions directly into everyday operational workflows. As payments shift, however, fraud risk shifts with them. In embedded environments, threats can no longer be managed effectively through point solutions that activate only after a transaction is already in motion. Instead, fraud prevention must move […] The post Embedding Security: Designing Fraud Risk Out of Business Transactions appeared first on PYMNTS.com. http://dlvr.it/TRF4Nq #payments #fintech

PYMNTS: Embedding Security: Designing Fraud Risk Out of Business Transactions: Embedded payments are becoming a core feature of modern business platforms, weaving transactions directly into everyday operational workflows. As payments shift, however, fraud risk shifts with them. In embedded environments, threats can no longer be managed effectively through point solutions that activate only after a transaction is already in motion. Instead, fraud prevention must move […] The post Embedding Security: Designing Fraud Risk Out of Business Transactions appeared first on PYMNTS.com. http://dlvr.it/TRF4P9 #payments #fintech

🚨 𝐂𝐒𝐈 & 𝐂𝐚𝐫𝐞𝐟𝐮𝐥𝐥 𝐏𝐚𝐫𝐭𝐧𝐞𝐫 𝐭𝐨 𝐂𝐨𝐦𝐛𝐚𝐭 𝐄𝐥𝐝𝐞𝐫 𝐅𝐫𝐚𝐮𝐝 𝐰𝐢𝐭𝐡 𝐀𝐈-𝐃𝐫𝐢𝐯𝐞𝐧 𝐏𝐫𝐨𝐭𝐞𝐜𝐭𝐢𝐨𝐧 As financial fraud targeting older adults surges, CSI and Carefull are joining forces to deliver proactive protection for aging consumers. By integrating AI-powered fraud detection into banking channels, the partnership enables financial institutions to identify threats early and prevent losses before they occur—strengthening trust and security for vulnerable customers. ✨ 𝐊𝐞𝐲 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: • Strategic partnership to protect older adults from rising financial fraud • AI detects 70+ elder fraud patterns including suspicious transactions • Identifies behavioral anomalies and unusual spending activity • Caregiver access with role-based alerts and guidance • Clear, actionable notifications for faster response • Aggregated insights for financial institutions to track effectiveness • Rapid deployment with seamless banking integration 🔗 𝐑𝐞𝐚𝐝 𝐌𝐨𝐫𝐞: https://lnkd.in/dERcNM5J 📢 𝐀𝐝𝐯𝐞𝐫𝐭𝐢𝐬𝐞 𝐖𝐢𝐭𝐡 𝐔𝐬: https://lnkd.in/d6B9NyKj Reach global cybersecurity decision-makers with CyberTech Insights #CyberSecurity #FraudPrevention #FinTech #AISecurity #DataProtection #DigitalBanking #RiskManagement #FinancialSecurity

Artificial intelligence is reshaping how financial institutions detect and prevent fraud. With the rapid expansion of digital banking and e-commerce, organizations must analyze vast amounts of transaction data to identify potential threats. AI technologies can recognize patterns that indicate fraudulent behavior, allowing financial institutions to act quickly and prevent financial losses. These systems can also identify complex fraud networks by analyzing connections between multiple accounts and transactions. In addition to strengthening security, AI helps financial institutions improve operational efficiency by automating many aspects of fraud monitoring and investigation. This allows risk management teams to focus on the most critical threats. As financial technology continues to evolve, AI-driven fraud detection will become a fundamental component of secure and trustworthy financial systems worldwide. #ArtificialIntelligence #FraudRisk #FintechTrends #FinancialInnovation #CyberSecurity

For Day 27 of my #30DaysOfPowerBI challenge, I tackled one of the most critical challenges in the fintech industry: Banking Fraud Detection. Using the Fraud Shield dataset, I built a monitoring system designed to flag suspicious activities before they turn into major losses. Key technical features I implemented: Velocity Attack Tracking: Analyzed the correlation between Daily Transaction Count and Transaction Amount to identify rapid-fire scams. Geospatial Risk: Mapped Distance From Home to flag transactions happening in different countries while the customer is still at home. Time-Series Anomalies: Created a "Midnight Spike" chart to monitor high-volume transactions during unusual hours (1 AM - 5 AM). KPIs & Insights : Fraud Distribution: International transactions show a 2.5x higher fraud probability than domestic ones. The "New Merchant" Risk: Over 60% of flagged frauds occurred at merchants where the customer had never shopped before. Failure Correlation: A high Failed_Transaction_Count within 10 minutes is the #1 predictor of a "Brute Force" attack. #MayankViz #PowerBI #CyberSecurity #Fintech #FraudDetection #DataScience #30DaysChallenge #BankingAnalytics #MayankDataScience

🚨 𝐅𝐢𝐝𝐞𝐨 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐄𝐱𝐩𝐚𝐧𝐝𝐬 𝐃𝐚𝐫𝐤 𝐖𝐞𝐛 𝐓𝐡𝐫𝐞𝐚𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐭𝐨 𝐂𝐨𝐦𝐛𝐚𝐭 𝐏𝐚𝐲𝐦𝐞𝐧𝐭 𝐅𝐫𝐚𝐮𝐝 Fideo Intelligence has expanded its dark web monitoring and threat intelligence capabilities to help financial institutions, fintechs, payment service providers, and merchants detect fraud earlier and reduce payment-related risks across the digital payments ecosystem. ✨ 𝐊𝐞𝐲 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: • Expanded dark web monitoring to detect fraud signals before transactions occur • Early identification of synthetic identity fraud, credential compromise, and coordinated attacks • Advanced analytics including entity normalization, parsing, and network analysis • Integration with Fideo Verify for real-time identity verification and risk checks • Fideo Signals delivers structured intelligence to strengthen fraud detection models • API-driven platform integrates with onboarding, transaction monitoring, and fraud investigation systems 🔗 𝐑𝐞𝐚𝐝 𝐌𝐨𝐫𝐞: https://lnkd.in/dddBr9a3 📢 𝐀𝐝𝐯𝐞𝐫𝐭𝐢𝐬𝐞 𝐖𝐢𝐭𝐡 𝐔𝐬: https://lnkd.in/d6B9NyKj Reach global cybersecurity decision-makers with CyberTech Insights #CyberSecurity #FraudPrevention #DarkWebIntelligence #FinTechSecurity #IdentityVerification #PaymentSecurity #ThreatIntelligence #DigitalFraud

🔐 What Is Account Takeover (ATO)? Here’s the beginner-friendly explanation every fraud, product & CX team should know. Most people still think ATO = “someone guessed the password.” Reality? Fraudsters almost never guess passwords. They reset them. ATO happens when a bad actor controls the entire account - not just logs in. Here’s the real ATO sequence I see across US card issuers & fintech portfolios: 1️⃣ Credential compromise → breach, phishing, or reused passwords 2️⃣ Account recovery abuse → “Forgot Password” becomes the attacker’s entry point 3️⃣ Profile takeover → phone/email changed to lock out the real customer 4️⃣ Clean session + clean device → looks legitimate in your logs 5️⃣ Rapid spend / transfers before detection Most ATO is missed because teams look for fraud at the transaction, but ATO actually happens at: Login Recovery Rebind Profile change If you only scan transactions, ATO will ALWAYS look like ‘friendly fraud’ later in disputes. If you want my Beginner ATO 101 Explainer (PDF) that breaks the flow visually, comment ATO below. #FraudStrategy #AccountTakeover #Fintech #RiskManagement #SAFEgrowth