Payment Fraud Prevention

The Wolfsberg Group has issued a new Statement on Monitoring for Suspicious Activity (MSA). The statement recognises that criminal networks “continue to evolve at a rapid pace.” As a result, both national security priorities and financial institutions’ innovation governance frameworks must evolve accordingly. It makes a significant distinction between: ↳ Transaction Monitoring (TM) - rule-based, transaction-focused, and heavily reliant on fixed thresholds. ↳ Monitoring for Suspicious Activity (MSA) - data-driven, outcome-focused, and informed by a broader set of inputs: • customer behaviour • typologies • contextual risk indicators • and transactional activity combined Traditional TM detects pre-defined transactional patterns - such as cash structuring or high-value wire transfers. But many risks cannot be identified through transactions alone. The Wolfsberg Group highlights that real suspicion often emerges when transactions are viewed in context - alongside customer profiles, behavioural patterns, and known typologies. 𝗪𝗵𝗮𝘁 𝗿𝗶𝘀𝗸𝘀 𝗱𝗼𝗲𝘀 𝘁𝗵𝗲 𝗪𝗼𝗹𝗳𝘀𝗯𝗲𝗿𝗴 𝗚𝗿𝗼𝘂𝗽 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁? → Financial institutions relying solely on rules-based TM may be missing high-impact risks. → Innovation is slowed by governance frameworks designed for prudential risk, not financial crime. → Low-quality alerts and SARs continue to burden investigators and add limited value to law enforcement. 𝗪𝗵𝗮𝘁 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗱𝗼𝗲𝘀 𝘁𝗵𝗲 𝘀𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱? The Wolfsberg Group outlines a transition framework based on three pillars: 1️⃣ 𝗧𝗿𝗮𝗻𝘀𝗶𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻: FIs should update their approach based on redefined outcomes - not legacy system performance. The goal is to improve precision and relevance, not to replicate outdated alerts. 2️⃣ ��𝗮𝗹𝗮𝗻𝗰𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹 𝗿𝗶𝘀𝗸 𝘄𝗶𝘁𝗵 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗰𝗿𝗶𝗺𝗲 𝗿𝗶𝘀𝗸: AML models should not be governed like credit or market risk models. Financial crime risks require adaptability, and excessive oversight can hinder timely implementation. 3️⃣ 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Institutions must be able to clearly explain how models work, what risks they cover, and how analysts can use outputs to support meaningful investigations. 𝗪𝗵𝗮𝘁 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁𝘀 𝗰𝗮𝗻 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗶𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗶𝗼𝗻𝘀 𝗲𝘅𝗽𝗲𝗰𝘁 𝗯𝘆 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗶𝗻𝗴 𝘁𝗵𝗲𝘀𝗲 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀? ✔ Better alignment with law enforcement priorities ✔ Improved quality of suspicious activity reporting ✔ More effective use of data and analytics across the institution ✔ Stronger ability to detect emerging risks - not just known patterns The message is clear: Effective financial crime monitoring is no longer about catching what’s obvious. It’s about uncovering what’s relevant. Is your institution prepared for this change?

A ₹4.58 crore scam... not by a hacker, but by a relationship manager in a corporate suit. Sakshi Gupt, an ICICI Bank relationship manager in Kota, quietly siphoned ₹4.58 crore from 110 customer accounts, using a fixed deposit (FD) link trick, masking alerts by changing registered mobile numbers, and channelling the stolen money into stock market bets. The gamble? She lost it all. This wasn’t a cybercrime. This was human betrayal dressed in professional etiquette. ▶️ The twist? She didn’t need to hack the system. She was the system. A trusted banker. A familiar voice. Someone who shook hands, smiled politely, and discussed "financial goals." It’s a chilling reminder: in today’s world, your financial safety isn't just under threat from cybercriminals. It's vulnerable to people you trust the most — those wearing a badge of service, backed by brand reputation. ▶️ Let’s zoom out. According to the Reserve Bank of India (RBI) 2024 fraud monitoring report, India saw a 35% rise in bank-related frauds compared to 2022. Even worse — a large percentage of these were “insider threats.” A PwC Global Economic and Financial Crimes Commission & Fraud Survey revealed that over 52% of Indian firms experienced fraud in the past 2 years — above the global average of 47%. And most are rooted in internal manipulation, not external attacks. ▶️ But the bigger problem? We, the public, don’t question “authority.” We assume that a designation guarantees integrity. We rarely monitor our accounts, thinking “FD toh safe hai.” But… are they really? Financial literacy isn’t about knowing stocks. It’s about knowing your statements. ▶️ Here’s a hard truth: Cricketers can bounce back after a bad season. Actors can survive a flop movie. But an average Indian family can never emotionally or financially recover from a bank fraud involving their life savings. So here's the twist no one talks about — The biggest scam is the one that looks like service. Start asking questions. Start tracking every transaction. Don't outsource your peace of mind. Because in today's world, even a "relationship manager" might just be managing your downfall. ✅ What measures do you take to keep your money safe? ✅ Should banks be more accountable for insider frauds? ✅ Let’s discuss and spread awareness before another Sakshi Gupta story happens again.

It’s shocking how many in-store merchants think PCI DSS is optional until they face a catastrophic breach. I recently watched a short video of a tampered card terminal. The terminal's top contained a fake PIN pad that concealed a skimmer. It reminded me how vulnerable even the most routine transactions can be. When you’re juggling dozens or hundreds of terminals across multiple locations, it’s easy to miss a tiny breach that can snowball into a massive nightmare. So I started enforcing a regular inspection checklist for our entire device fleet. It includes daily terminal scans, weekly compliance assessments, and monthly spot checks for physical tampering. This process not only keeps us up to PCI DSS standards but also prevents those fake PIN pads from slipping through the cracks. Take one small step: Schedule a quick, documented inspection of every single terminal today. Then, you’ll breathe easier knowing your entire payment network is secure.

🔎 Understanding How L1, L2 & L3 Work in AML Transaction Monitoring In AML and Financial Crime, transaction alerts are more than system notifications — they’re signals that need to be interpreted. The investigation process typically moves through three layers, each adding more depth and judgment. ⸻ 🟦 L1 – First-Level Review At the first stage, analysts focus on quick assessment and filtering: • Reviewing alerts as they come in • Comparing transactions with the customer’s known profile and KYC • Determining if the activity fits expected behaviour • Clearing straightforward false positives • Passing anything unusual to L2 for a deeper look Think of L1 as: “Does this alert make sense, or is something off here?” ⸻ 🟨 L2 – In-Depth Analysis If an alert needs more investigation, L2 teams step in: • Conducting a full review of the customer’s activity • Identifying patterns like structuring or abnormal velocity • Performing OSINT checks for background context • Reviewing sanctions, PEP status, and negative media • Creating documented narratives when behaviour looks concerning L2’s role: “Is the activity sufficiently suspicious to consider reporting?” ⸻ 🟥 L3 – Final Assessment & SAR Filing The most complex or high-risk cases end up at L3: • Reviewing all findings from L2 with a higher level of scrutiny • Deciding whether the case meets SAR/STR requirements • Drafting and filing the report to the regulator • Managing any follow-ups from authorities • Suggesting policy or control enhancements when gaps are found L3 answers the key question: “Does this need to be officially reported?” ⸻ 💡This structured workflow ensures that alerts are assessed efficiently, escalated correctly, and handled by the right level of expertise. A solid L1 → L2 → L3 process strengthens risk management and helps institutions stay steps ahead of financial crime.

You’ve seen the headlines. ₹590 crore discrepancy in Haryana Government accounts at IDFC FIRST Bank’s Chandigarh branch. Here’s what happened. A government department came to close its account. Routine request. But the bank’s records and the department’s records didn’t match. By ₹590 crore. The bank has now returned ₹583 crore full principal plus interest within 48 hours. Investigation revealed forged signatures, forged payment instructions, and bank employees allegedly colluding with outsiders. Four suspended. Arrests made. The more interesting conversation is about institutional behaviour under pressure. Reputation in banking isn't built during the good quarters. It's built or destroyed in exactly these moments. The optics could have easily gone the other way. But the choice to close it fast, absorb the cost and not weaponise the legal process says something. Whether you're evaluating a bank as a customer, an investor, or just watching the sector, this is the kind of data point worth filing away.

𝗛𝗼𝘄 𝗜 𝗨𝘀𝗲 𝗧𝗵𝗿𝗲𝗮𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝘁𝗼 𝗦𝘁𝗮𝘆 𝗔𝗵𝗲𝗮𝗱 𝗼𝗳 𝗔𝘁𝘁𝗮𝗰𝗸𝘀 🔍⚡ Last quarter, we almost missed it. It didn’t start with an alert. No high-severity incident. No obvious malware. Just a single line in a log — a failed login attempt from an IP that looked ordinary. But something felt off. 🔍 𝗕𝘂𝘁 𝗵𝗲𝗿𝗲’𝘀 𝘄𝗵𝗲𝗿𝗲 𝘁𝗵𝗿𝗲𝗮𝘁 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗰𝗵𝗮𝗻𝗴𝗲𝗱 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴... Earlier that day, I had read a deep-dive from a security researcher 🧠 about a new attack pattern: 👉 Low-and-slow credential spraying 👉 Geo anomalies that bypass basic rules 🌍 👉 Minimal noise, maximum stealth That “normal” IP? It matched a freshly reported indicator. 🧠 𝗦𝗼 𝗜 𝗳𝗼𝗹𝗹𝗼𝘄𝗲𝗱 𝘁𝗵𝗲 𝘀𝗶𝗴𝗻𝗮𝗹... 𝗻𝗼𝘁 𝘁𝗵𝗲 𝗻𝗼𝗶𝘀𝗲 Instead of waiting for alerts: 👉 Pulled logs across VPN, IAM, endpoints 🖥️ 👉 Enriched the IP with threat intel feeds 📡 👉 Mapped behavior to MITRE ATT&CK 🧩 👉 Built a hypothesis: early-stage access attempt Then I started hunting 🎯 And found more… Same pattern. Multiple users. Silent attempts. ⚙️ 𝗪𝗵𝗲𝗿𝗲 𝘁𝗵𝗲 𝗶𝗻𝘁𝗲𝗹 𝗰𝗮𝗺𝗲 𝗳𝗿𝗼𝗺 This wasn’t luck 🍀 — it was a system: 👉 Open-source intel (blogs, GitHub, researcher reports) 🌐 👉 Commercial feeds (real-time IOCs & adversary infra) 📊 👉 Dark web monitoring (credential leaks & chatter) 🕶️ 👉 Industry groups & sharing communities 🤝 Each source = a piece of the puzzle Together = the full picture 🧠 🚨 🚨 𝗪𝗵𝗮𝘁 𝘄𝗲 𝗱𝗶𝗱 𝗻𝗲𝘅𝘁 👉 Blocked malicious IP ranges 🚫 👉 Forced password resets 🔑 👉 Tuned detections based on TTPs ⚙️ No breach. No escalation. No damage. 💡 𝗧𝗵𝗲 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆 Attackers don’t kick the door down 🚪 They test it quietly first… If you rely only on alerts, you’re already behind ⏳ Threat intelligence helps you move from: ➡️ Reactive → Proactive ➡️ Alerts → Anticipation 𝗦𝗶𝗻𝗰𝗲 𝘁𝗵𝗲𝗻, 𝗺𝘆 𝗽𝗹𝗮𝘆𝗯𝗼𝗼𝗸 𝗶𝘀 𝘀𝗶𝗺𝗽𝗹𝗲: 👉 Focus on behavior (TTPs), not just IOCs 🎯 👉 Build continuous intel feedback loops 🔄 👉 Hunt with context, not guesswork 🔍 You can use ANYRUN to Speed up and simplify alert triage, incident response, and threat hunting with Threat intelligence Lookup -> https://lnkd.in/gFD8DPJ3 Have you ever stopped an attack early because of threat intel? 🤔 #CyberSecurity #ThreatIntelligence #SOC #ThreatHunting #BlueTeam #InfoSec #CyberDefense For daily cybersecurity updates, follow: Kaaviya Balaji

A new Advanced Persistent Threat (APT) that is targeting HR and payroll, CISOs need to take a note. When cybercriminals go after HR, payroll, and internal admin teams, they're not just stealing data, they’re attacking the operational backbone of an organisation. And that’s exactly what our APT Research Team at Seqrite Labs has just uncovered. Over the past week, our researchers identified a new multi-stage attack campaign targeting Russian corporate entities, using extremely convincing HR themed lures. What looks like an “annual bonus policy” PDF is actually the entry point to a stealthy infection chain that delivers a custom implant we’ve named DUPERUNNER, followed by an AdaptixC2 beacon. For CISOs, the message is simple: > Threat actors are shifting left, going after internal business workflows that employees implicitly trust. > A single click in HR can give attackers the same access as a compromised domain controller. > Financial, reputational, and operational risks multiply when attackers remain hidden inside your environment.   Our Seqrite APT team’s deep dive reveals: • A spear-phishing chain built around benign looking HR documents • A previously unknown C++ implant (DUPERUNNER) capable of process injection • A stealthy AdaptixC2 beacon used for command and control • A dedicated malicious infrastructure operated across ASNs in Russia This campaign shows how threat actors are moving toward social engineering that looks legitimate and fits into daily routines. A single click in an HR department can give an attacker access equal to or greater than a compromised server. It is the kind of threat many leaders casually scroll past on LinkedIn until it hits their own organisation. At Seqrite, our protection layers already detect and block each stage of this attack but the larger story is that attack surfaces are evolving faster than traditional defences. We have added full technical details, infrastructure information and IOCs in the blog. You can read the full research here: https://lnkd.in/d9qm-dsq Full credit to our researchers at Seqrite Labs who led this investigation. Outstanding work by the team behind this analysis and write up that includes: Subhajeet Singha Priya Patel Nandini Seth Jyoti Karlekar Quick Heal #CyberSecurity #APT #ThreatIntelligence #CISO #MalwareAnalysis #Infosec #CyberAttack #EnterpriseSecurity #SeqriteLabs #CyberThreats #ThreatResearch #DUPERUNNER #AdaptixC2

The 5 biggest banking security threats and how to avoid them   Unauthorized mobile banking fraud has reached record levels, with criminals exploiting the surge in banking app usage. As more people switch to mobile banking, fraudsters are taking advantage of this trend, causing mobile banking fraud to surpass internet banking fraud for the first time in 2023 and continuing to rise into 2024. With 60% of consumers using mobile banking apps and 62% using online banking, fraudsters are targeting customers, who they consider the weakest link. Fraudulent tactics include SMS phishing, mobile malware, and mimicking legitimate apps to steal data. What are banks doing to protect us? Multi-factor authentication (MFA), including facial recognition, voice checks, and device security, is becoming standard practice. However, some banks are still lagging behind in offering features like viewing connected devices to identify unauthorized access. As a customer, what can you do to protect your bank account? Use strong, unique passwords, enable MFA, avoid public Wi-Fi, and regularly update your devices and antivirus software. Additionally, be cautious of downloading apps from unofficial sources and be vigilant about your privacy settings online. Are you doing enough to secure your mobile banking? #MobileBanking #FraudPrevention #Cybersecurity #BankingApps #MFA #FraudAwareness #TechSecurity

₹4.5 crore vanished. It took 3 years to notice. A relationship manager at ICICI Bank’s Kota branch allegedly diverted ₹4.5 crore from 41 customers over three years. The methods were simple. But, the impact? Devastating. According to reports, Sakshi Gupta: > Changed registered mobile numbers so OTPs went to her > Misused debit cards and PINs > Broke fixed deposits worth ₹1.34 crore > Activated overdrafts without consent > Used an elderly customer’s account to pool diverted funds Most of that money? Gone - reportedly lost in stock market trades. She’s now suspended. The police are investigating. But here’s the larger concern: If ₹4.5 crore can slip through the cracks, how many smaller lapses are still hiding in plain sight? As someone who’s worked on internal audit and risk assignments, I’ve seen how even small blind spots can create large vulnerabilities. And sometimes, customers catch what systems don’t. I’ve personally found strange charges in my own bank account. Raised a complaint. Got it reversed. But if I hadn’t checked? It would’ve stayed. So I track my bank statements every month. Not every line, but anything above a certain threshold. It doesn’t take long. But it helps. Here are a few habits I’d recommend: ✅ Check SMS/email alerts regularly ✅ Review account and FD statements monthly ✅ Never ignore mobile/email change notifications ✅ Set alerts for overdrafts, withdrawals, logins ✅ If anything looks off, ask, even if it seems small Because the only thing worse than fraud... is realising it late. Your turn: Ever caught a charge that didn’t feel right and followed your gut? Or built a small habit that helped you catch something early? Drop your story in the comments. We all notice different things, and that’s what makes shared learning powerful. #FinanceKeFunde #BankFraud #CustomerAwareness #ICICIBank #InternalControls #SecureBanking #FraudDetection #PersonalFinanceIndia