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ThreatFabric

ThreatFabric

Computer and Network Security

Amsterdam, North Holland 8,758 followers

Fraud Prevention Built On Actionable Threat Intelligence

About us

ThreatFabric is fusing 15 years of leading threat research and fraud experience with next-gen technology to detect the latest fraud threats. No matter the regulations, and no matter how relentless the criminals, we ensure the best channel fraud prevention across the globe. Our customers are prepared for any eventuality, earning their customers' trust worldwide.

Website
https://www.threatfabric.com
Industry
Computer and Network Security
Company size
51-200 employees
Headquarters
Amsterdam, North Holland
Type
Privately Held
Founded
2015
Specialties
Cyber Threat Intelligence, Malware analysis, Malware detection, Cyber Security, Fraud prevention, Fraud detection, Mobile protection, Online channels security, Mobile malware, Customer device protection, Online Fraud Detection, Mobile Threat Intelligence, and Hybrid Fraud

Employees at ThreatFabric

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Locations

Updates

  • View organization page for ThreatFabric

    8,758 followers

    🇸🇪 𝗝𝗼𝗶𝗻 𝘂𝘀 𝗶𝗻 𝗦𝘄𝗲𝗱𝗲𝗻 𝗳𝗼𝗿 𝗮 𝗺𝗼𝗿𝗻𝗶𝗻𝗴 𝗼𝗳 𝘁𝗵𝗿𝗲𝗮𝘁 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 Please join ThreatFabric, OneSpan and banking leaders for a breakfast briefing that is fully focused on the evolving mobile fraud landscape in Sweden. 𝗧𝗵𝗲 𝗦𝘄𝗲𝗱𝗶𝘀𝗵 𝗠𝗼𝗯𝗶𝗹𝗲 𝗖𝗿𝗶𝗺𝗲 𝗦𝗰𝗲𝗻𝗲: 𝗙𝗿𝗼𝗺 𝗦𝗰𝗮𝗺 𝗖𝗮𝗹𝗹𝘀 𝘁𝗼 𝗜𝗻-𝗔𝗽𝗽 𝗔𝘁𝘁𝗮𝗰𝗸𝘀 🗓️ Wednesday, 2nd September 2026 ⏱️ 9:00 - 13:00 📍Stockholm, Sweden 🇸🇪 👉 Registration & Details: https://hubs.ly/Q04vtH1_0 As fraud becomes more organised and sophisticated, attacks are increasingly moving beyond simple scams into coordinated operations involving social engineering, mobile malware and in-app attacks. This session is a great opportunity to exchange perspectives with peers and discuss how strategies need to adapt in a rapidly changing threat landscape, in an informal setting over breakfast. → Exclusive insights from ThreatFabric researchers and renowned experts → Recent developments in mobile banking threats targeting Sweden → Actionable guidance for fraud and risk teams → Networking with banking peers We are looking forward to insightful discussions and meaningful connections in Stockholm! #ThreatIntelligence #MobileThreats #FraudPrevention #Scams #Banking #Sweden Rohan Mer Eward Driehuis Dave L.

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  • 💡 𝗣𝗦𝗗𝟯, 𝗣𝗦𝗥 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗥𝗶𝘀𝗲 𝗼𝗳 𝗣𝗿𝗶𝘃𝗮𝗰𝘆-𝗣𝗿𝗲𝘀𝗲𝗿𝘃𝗶𝗻𝗴 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝘂𝗿𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 First-generation behavioural solutions were primarily designed to answer the question: "Is this the legitimate user?". Today's fraud landscape requires a different approach. Customers are increasingly authenticated, but still defrauded. Criminals exploit trust, manipulate behaviour, and weaponise social engineering rather than simply stealing passwords. As regulatory expectations evolve under PSD3 and PSR, fraud prevention must evolve as well. The goal is no longer just identity verification. The goal is consumer protection. As the industry moves towards greater accountability for fraud outcomes, three principles are becoming more than differentiators: ✅ 𝗖𝗼𝗻𝘀𝘂𝗺𝗲𝗿 𝗣𝗮𝘆𝗺𝗲���𝘁 𝗣𝗿𝗼𝘁𝗲𝗰𝘁𝗶𝗼𝗻 ✅ 𝗣𝗿𝗶𝘃𝗮𝗰𝘆 𝗣𝗿𝗲𝘀𝗲𝗿𝘃𝗮𝘁𝗶𝗼𝗻 ✅ 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝗰𝘆. These are becoming the 𝗯𝗹𝘂𝗲𝗽𝗿𝗶𝗻𝘁 for the next generation of fraud prevention. 👉 Read our full article here: https://hubs.ly/Q04tJJ6M0 𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗳𝗿𝗮𝘂𝗱 𝗽𝗿𝗲𝘃𝗲𝗻𝘁𝗶𝗼𝗻 𝘀𝘁𝗮𝗿𝘁𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝘁𝗵𝗲 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻. #Innovation #Fraud #Cybersecurity #BehaviouralAnalytics #FraudPrevention #ScamDetection #AI

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  • 🚨 𝗠𝗮𝗻𝗶𝗰: 𝗡𝗲𝘄 𝘁𝗵𝗿𝗲𝗮𝘁 𝘁𝗵𝗮𝘁 𝗯𝗹𝗲𝗻𝗱𝘀 𝗕𝗮𝗻𝗸𝗶𝗻𝗴 𝗠𝗮𝗹𝘄𝗮𝗿𝗲 𝗮𝗻𝗱 𝗦𝗽𝘆𝘄𝗮𝗿𝗲 ThreatFabric's Mobile Threat Intelligence (MTI) Team has identified a new Android threat actively distributed in the wild. 𝗠𝗮𝗻𝗶𝗰 𝘀𝗶𝘁𝘀 𝗮𝘁 𝘁𝗵𝗲 𝗶𝗻𝘁𝗲𝗿𝘀𝗲𝗰𝘁𝗶𝗼𝗻 𝗼𝗳 𝗔𝗻𝗱𝗿𝗼𝗶𝗱 𝗯𝗮𝗻𝗸𝗶𝗻𝗴 𝗺𝗮𝗹𝘄𝗮𝗿𝗲 𝗮𝗻𝗱 𝗺𝗼𝗯𝗶𝗹𝗲 𝘀𝗽𝘆𝘄𝗮𝗿𝗲, combining financial-fraud capabilities with broader surveillance and device-control features. Its targeting is strongly focused on 🇺🇦 Ukraine, covering Ukrainian banks, government and identity services, and messaging applications, while also extending to 🇷🇺 Russian and 🇪🇺 European financial institutions, global fintech and cryptocurrency services, and military-focused communications. 𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀: → 𝗔 𝗻𝗲𝘄 𝗔𝗻𝗱𝗿𝗼𝗶𝗱 𝗺𝗮𝗹𝘄𝗮𝗿𝗲 𝗳𝗮𝗺𝗶𝗹𝘆 has appeared on the threat landscape. → 𝗕𝗿𝗼𝗮𝗱 𝘁𝗮𝗿𝗴𝗲𝘁𝗶𝗻𝗴 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝘀, including government institutions, banking applications and cryptocurrency wallets, with strong focus on Ukraine. → 𝗘𝘅𝘁𝗲𝗻𝘀𝗶𝘃𝗲 𝗗𝗲𝘃𝗶𝗰𝗲 𝗧𝗮𝗸𝗲𝗼𝘃𝗲𝗿 (𝗗𝗧𝗢) and interactive remote-control capabilities. → 𝗔𝗱𝘃𝗮𝗻��𝗲𝗱 𝗣𝗜𝗡 𝘀𝘁𝗲𝗮𝗹𝗶𝗻𝗴 𝘁𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 that do not require overlay attacks → 𝗗𝗶𝘀𝘁𝗶𝗻𝗰𝘁𝗶𝘃𝗲 𝗪𝗶‑𝗙𝗶 𝗺𝗲𝘀𝗵 𝗲𝗴𝗿𝗲𝘀𝘀 𝘁𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲 for relaying data through nearby infected devices. 👉 Read the full article here: https://hubs.ly/Q04tkv7G0 #FraudPrevention #Malware #AndroidMalware #ThreatIntelligence #DeviceTakeover

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  • View organization page for ThreatFabric

    8,758 followers

    🇩🇪🇦🇹🇨🇭 𝗠𝗲𝗲𝘁 𝘂𝘀 𝗮𝘁 𝘁𝗵𝗲 𝟲𝘁𝗵 𝗔𝗻𝗻𝘂𝗮𝗹 𝗙𝗶𝗻𝗖𝗿𝗶𝗺𝗲 𝗟𝗲𝗮𝗱𝗲𝗿𝘀 𝗦𝘂𝗺𝗺𝗶𝘁 𝗗𝗔𝗖𝗛 The fight against financial crime is becoming increasingly complex, especially as criminals continue to exploit mobile devices, human trust and digital banking channels. That's why we're excited to attend the 𝟲𝘁𝗵 𝗔𝗻𝗻𝘂𝗮𝗹 𝗙𝗶𝗻𝗖𝗿𝗶𝗺𝗲 𝗟𝗲𝗮𝗱𝗲𝗿𝘀 𝗦𝘂𝗺𝗺𝗶𝘁 𝗗𝗔𝗖𝗛 in Frankfurt, joining industry experts, financial institutions, and technology leaders to connect with experts who are equally passionate about protecting customers and organisations from fraud. → 𝗦𝗵𝗮𝗿𝗲 the latest Threat & Fraud Intelligence → 𝗦𝗵𝗼𝘄𝗰𝗮𝘀𝗲 the value of Pre-Transaction Device & Behavioural Intelligence → 𝗘𝘅𝗰𝗵𝗮𝗻𝗴𝗲 real-world fraud experiences and best practices → 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 how Behavioural AI will help you meet the upcoming PSD3/PSR → 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 with leaders across financial crime, fraud, and cybersecurity Our VP of Fraud Engineering Eward Driehuis will give a thought-provoking presentation on how fraud has evolved from technical compromise to large-scale behavioural manipulation, and why the traditional boundaries between cybersecurity, fraud prevention and threat intelligence are disappearing. Moreover, Eward will host a roundtable in the afternoon as well! 👉 𝗜𝗳 𝘆𝗼𝘂'𝗿𝗲 𝗮𝘁𝘁𝗲𝗻𝗱𝗶𝗻𝗴, 𝗽𝗹𝗲𝗮𝘀𝗲 𝗺𝗮𝗸𝗲 𝘀𝘂𝗿𝗲 𝘆𝗼𝘂 𝘃𝗶𝘀𝗶𝘁 𝗼𝘂𝗿 𝗯𝗼𝗼��𝗵 𝗼𝗿 𝗼𝘂𝗿 𝘁𝗮𝗹𝗸𝘀! #Fraud #FinCrime #FraudPrevention #ThreatIntelligence Transform Finance #TransformFinance

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  • 🙋🏻♂️ 𝗙𝗔𝗤 & 𝗠𝘆𝘁𝗵𝘀 – 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝘂𝗿𝗮𝗹 𝗔𝗜 𝗳𝗼𝗿 𝗙𝗿𝗮𝘂𝗱 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗧𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗺𝗶𝘀𝗰𝗼𝗻𝗰𝗲𝗽𝘁𝗶𝗼𝗻 𝗮𝗯𝗼𝘂𝘁 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝘂𝗿𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗶𝘀 𝘁𝗵𝗮𝘁 𝗶𝘁 𝗶𝘀 𝘀𝗶𝗺𝗽𝗹𝘆 𝗮𝗻𝗼𝘁𝗵𝗲𝗿 𝗳𝗿𝗮𝘂𝗱 𝘀𝗶𝗴𝗻𝗮𝗹. 𝗜𝗻 𝗿𝗲𝗮𝗹𝗶𝘁𝘆, 𝗶𝘁 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝘀 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝗻𝘁𝗼 𝘁𝗵𝗲 𝗵𝘂𝗺𝗮𝗻 𝗲𝗹𝗲𝗺𝗲𝗻𝘁 𝗼𝗳 𝗳𝗿𝗮𝘂𝗱. After speaking with hundreds of banks, payment providers, and fraud teams over the years, we've identified a common set of questions that consistently arise when discussing Behavioural Analytics. We have created a FAQ that brings together the most frequently asked questions and explains how ThreatFabric approaches behavioural intelligence, fraud detection, privacy, and implementation. → What Behavioural AI actually measures and analyses. → How behavioural signals strengthen fraud detection. → Common misconceptions and myths surround Behavioural AI. 👉 Read the full FAQ article here: https://hubs.ly/Q04tkwxj0 𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗳𝗿𝗮𝘂𝗱 𝗽𝗿𝗲𝘃𝗲𝗻𝘁𝗶𝗼𝗻 𝘀𝘁𝗮𝗿𝘁𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝘁𝗵𝗲 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻. #Innovation #Fraud #Cybersecurity #BehaviouralAnalytics #FraudPrevention #ScamDetection #AI

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  • View organization page for ThreatFabric

    8,758 followers

    📋 𝗕𝗲𝗵𝗶𝗻𝗱 𝘁𝗵𝗲 𝘀𝗰𝗲𝗻𝗲𝘀 𝗮𝘁 𝗧𝗵𝗿𝗲𝗮𝘁𝗙𝗮𝗯𝗿𝗶𝗰 At ThreatFabric, many of the foundations that enable us to deliver trusted services to our customers are built quietly behind the scenes. One of the people driving that effort is Michelle Spit, who is responsible for coordinating and maintaining our management system certifications. Her latest milestone: a successful ISO 22301 recertification.   "𝐈𝐒𝐎 𝟐𝟐𝟑𝟎𝟏 𝐢𝐬 𝐚𝐛𝐨𝐮𝐭 𝐦𝐮𝐜𝐡 𝐦𝐨𝐫𝐞 𝐭𝐡𝐚𝐧 𝐦𝐚𝐢𝐧𝐭𝐚𝐢𝐧𝐢𝐧𝐠 𝐚 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐞. 𝐈𝐭 𝐫𝐞𝐟𝐥𝐞𝐜𝐭𝐬 𝐨𝐮𝐫 𝐜𝐨𝐦𝐦𝐢𝐭𝐦𝐞𝐧𝐭 𝐭𝐨 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐜𝐨𝐧𝐭𝐢𝐧𝐮𝐢𝐭𝐲, 𝐫𝐞𝐬𝐢𝐥𝐢𝐞𝐧𝐜𝐞, 𝐚𝐧𝐝 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐞𝐱𝐜𝐞𝐥𝐥𝐞𝐧𝐜𝐞. 𝐈𝐧 𝐭𝐨𝐝𝐚𝐲'𝐬 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭, 𝐰𝐡𝐞𝐫𝐞 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫𝐬, 𝐫𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐬, 𝐚𝐧𝐝 𝐩𝐚𝐫𝐭𝐧𝐞𝐫𝐬 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐢𝐧𝐠𝐥𝐲 𝐞𝐱𝐩𝐞𝐜𝐭 𝐨𝐫𝐠𝐚𝐧𝐢𝐬𝐚𝐭𝐢𝐨𝐧𝐬 𝐭𝐨 𝐝𝐞𝐦𝐨𝐧𝐬𝐭𝐫𝐚𝐭𝐞 𝐩𝐫𝐞𝐩𝐚𝐫𝐞𝐝𝐧𝐞𝐬𝐬 𝐚𝐧𝐝 𝐫𝐨𝐛𝐮𝐬𝐭 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞, 𝐭𝐡𝐞𝐬𝐞 𝐬𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬 𝐡𝐞𝐥𝐩 𝐞𝐧𝐬𝐮𝐫𝐞 𝐭𝐡𝐚𝐭 𝐫𝐞𝐬𝐢𝐥𝐢𝐞𝐧𝐜𝐞 𝐢𝐬 𝐞𝐦𝐛𝐞𝐝𝐝𝐞𝐝 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐰𝐚𝐲 𝐰𝐞 𝐨𝐩𝐞𝐫𝐚𝐭𝐞 𝐞𝐯𝐞𝐫𝐲 𝐝𝐚𝐲. 𝐓𝐡𝐢𝐬 𝐫𝐞𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐢𝐬 𝐭𝐡𝐞 𝐫𝐞𝐬𝐮𝐥𝐭 𝐨𝐟 𝐚 𝐭𝐫𝐮𝐞 𝐭𝐞𝐚𝐦 𝐞𝐟𝐟𝐨𝐫𝐭. 𝐈𝐭 𝐫𝐞𝐟𝐥𝐞𝐜𝐭𝐬 𝐭𝐡𝐞 𝐝𝐞𝐝𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐜𝐨𝐥𝐥𝐞𝐚𝐠𝐮𝐞𝐬 𝐚𝐜𝐫𝐨𝐬𝐬 𝐓𝐡𝐫𝐞𝐚𝐭𝐅𝐚𝐛𝐫𝐢𝐜 𝐰𝐡𝐨 𝐜𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬𝐥𝐲 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐨𝐮𝐫 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬, 𝐦𝐚𝐧𝐚𝐠𝐞 𝐫𝐢𝐬𝐤𝐬, 𝐚𝐧𝐝 𝐡𝐞𝐥𝐩 𝐬𝐭𝐫𝐞𝐧𝐠𝐭𝐡𝐞𝐧 𝐨𝐮𝐫 𝐨𝐫𝐠𝐚𝐧𝐢𝐬𝐚𝐭𝐢𝐨𝐧. 𝐈 𝐚𝐦 𝐩𝐫𝐨𝐮𝐝 𝐨𝐟 𝐰𝐡𝐚𝐭 𝐰𝐞 𝐚𝐜𝐡𝐢𝐞𝐯𝐞𝐝 𝐭𝐨𝐠𝐞𝐭𝐡𝐞𝐫 𝐚𝐧𝐝 𝐠𝐫𝐚𝐭𝐞𝐟𝐮𝐥 𝐟𝐨𝐫 𝐞𝐯𝐞𝐫𝐲𝐨𝐧𝐞'𝐬 𝐜𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧." — 𝙈𝙞𝙘𝙝𝙚𝙡𝙡𝙚 𝙎𝙥𝙞𝙩   At ThreatFabric, security isn’t a checkbox: it’s in our DNA. By continuously investing in internationally recognized standards such as ISO 22301, ThreatFabric strengthens its ability to support customers, respond to disruptions, and maintain the high levels of reliability and trust our partners expect. #Foundation #CyberSecurity #ISO22301 #Fraud #BusinessContinuity

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  • 📊 𝗨𝗽𝗹𝗶𝗳𝘁𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗩𝗗𝗥 𝗳𝗿𝗼𝗺 𝟱𝟬% 𝘁𝗼 𝗼𝘃𝗲𝗿 𝟳𝟬% 𝗳𝗿𝗮𝘂𝗱 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 Most fraud losses today originate from social engineering, where the customer authorises the payment themselves, from trusted devices, accounts and locations. Our latest research shows that adding our patented behavioural analytics and device intelligence can increase Value Detection Rate (VDR) while keeping alert volumes under control. 𝗔𝗰𝗿𝗼𝘀𝘀 𝘁𝗵𝗲 𝗼𝗯𝘀𝗲𝗿𝘃𝗲𝗱 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀, 𝗩𝗗𝗥 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁𝘀 𝗼𝗳 𝟮𝟬% 𝗼𝗿 𝗺𝗼𝗿𝗲 𝗮𝗿𝗲 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁𝗹𝘆 𝗮𝗰𝗵𝗶𝗲𝘃𝗲𝗱: ✅ Banks can realistic move to market leading performance (> 70% VDR) ✅ Strongest gains in fraud driven by social engineering (like romance or investment fraud). ✅ Pre-Transaction Intelligence reveals risks transaction monitoring cannot see. ✅ Stronger regulatory positioning and reduced reputational damage 👉 Read the full article: https://hubs.ly/Q04rNKyf0 𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗳𝗿𝗮𝘂𝗱 𝗽𝗿𝗲𝘃𝗲𝗻𝘁𝗶𝗼𝗻 𝘀𝘁𝗮𝗿𝘁𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝘁𝗵𝗲 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻. #Innovation #Cybersecurity #BehaviouralAnalytics #FraudPrevention #ScamDetection #AI

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  • 🤝 𝗪𝗵𝗲𝗻 𝗗𝗲𝘃𝗶𝗰𝗲 𝗙𝗮𝗰𝘁𝘀 𝗠𝗲𝗲𝘁 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝘂𝗿𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 As scams, social engineering and APP fraud continue to evolve, transaction monitoring alone is no longer enough for reliable prevention. The strongest fraud intelligence is often found before a payment is initiated, by combining device facts with behavioural signals: → 𝗗𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗶𝘀𝘁𝗶𝗰 𝘀𝗶𝗴𝗻𝗮𝗹𝘀 detect technical compromise, such as RATs, malware and active calls. → 𝗣𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘀𝘁𝗶𝗰 𝘀𝗶𝗴𝗻𝗮𝗹𝘀 identify manipulation, coercion and behavioural anomalies. Together they provide 𝗿𝗶𝗰𝗵𝗲𝗿 𝗽𝗿𝗲-𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻 𝗳𝗿𝗮𝘂𝗱 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 and most importantly: earlier detection means fewer customer losses. 👉 Read the full article: https://hubs.ly/Q04rDT6c0 With pre-transaction intelligence, banks can turn fraud management into fraud prevention. #Innovation #Cybersecurity #BehaviouralAnalytics #FraudPrevention #ScamDetection #AI

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  • 👥 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 𝗔𝘁 𝗧𝗵𝗲 𝗛𝗲𝗮𝗿𝘁 𝗢𝗳 𝗘𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝗪𝗲 𝗗𝗼 Technology, intelligence and data are only valuable when they help solve real customer challenges. That is why one of our core values is simple: Keep customers at the centre of every decision we make. From the way we develop our solutions to the way we deliver our services: success starts with understanding what matters most to them. → 𝗟𝗶𝘀𝘁𝗲𝗻𝗶𝗻𝗴 carefully to customer needs and staying ahead of evolving threats. → 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗶𝗻𝗴 a fraud solution that actually works and that 'walks our talk'. → 𝗕𝗮𝗹𝗮𝗻𝗰𝗶𝗻𝗴 innovation with reliability to create lasting value and trust. → 𝗜𝗺𝗽𝗿𝗼𝘃𝗶𝗻𝗴 our services based on real-world customer feedback. In the world of fraud and threat intelligence, we have developed the habit of evolving with both the threats and our customers' needs to stay ahead, while making sure that our core vision, approach and platform remain future-proof at the same time. It requires strong partnerships, open dialogue, collaboration and a positivity to overcome challenges, and most importantly: a shared commitment to protect our customers and the people they serve. 𝗟𝗶𝘀𝘁𝗲𝗻. 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱. 𝗔𝗰𝘁. 𝗧𝗵𝗮𝘁'𝘀 𝗵𝗼𝘄 𝘄𝗲 𝗸𝗲𝗲𝗽 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 𝗮𝘁 𝘁𝗵𝗲 𝗵𝗲𝗮𝗿𝘁 𝗼𝗳 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝘄𝗲 𝗱𝗼. 🚀 #CoreValue #CustomerFocus #Quality #Teamwork #Collaboration

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  • 👥 𝗠𝘂𝗹𝘁𝗶-𝗠𝗼𝗱𝗲𝗹 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝘂𝗿𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗨𝘀𝗲𝗿 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗙𝗿𝗮𝘂𝗱𝘀𝘁𝗲𝗿 Scams and APP fraud often involve genuine customers being manipulated to authorise genuine payments from trusted devices and locations. That means that transaction monitoring alone is no longer enough to detect scams reliably. Low tech attacks require high tech innovation to detect and stop them. Our latest blog explains how a multi-model approach to behavioural analytics will enable banks to detect manipulation early in the customer journey and therefore substantially increase their Value Detection Rate (VDR). → The 𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝘆 𝗠𝗼𝗱𝗲𝗹 identifies unusual behaviour relative to the user. → The 𝗙𝗿𝗮𝘂𝗱𝘀𝘁𝗲𝗿 𝗠𝗼𝗱𝗲𝗹 identifies behaviour based on known fraud patterns. And importantly, our underlying patented technology is fully designed with 𝗽𝗿𝗶𝘃𝗮𝗰𝘆-𝗯𝘆-𝗱𝗲𝘀𝗶𝗴𝗻 principles and upcoming regulation changes in mind. 👉 Read the article: https://hubs.ly/Q04qQNZl0 The future of fraud detection is about understanding the difference between normal behaviour and suspicious behaviour. #Innovation #Cybersecurity #BehaviouralAnalytics #FraudPrevention #ScamDetection #AI

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