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Scam patterns we see: Call centers rotate 24โ€“72 hrs Scripted playbooks Reused impersonation kits SMS โ†’ calls โ†’ fake sites Operators return fast Organized. Adaptive. Profitable. ScamStrike adds real cost. Demo: scamstrike.io #FraudIntelligence #CyberCrime
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๐—ง๐—ต๐—ฒ ๐—™๐—ถ๐—ด๐—ต๐˜ ๐—”๐—ด๐—ฎ๐—ถ๐—ป๐˜€๐˜ ๐—™๐—ฟ๐—ฎ๐˜‚๐—ฑ ๐—ก๐—ฒ๐˜ƒ๐—ฒ๐—ฟ ๐—ฆ๐˜๐—ฎ๐—ป๐—ฑ๐˜€ ๐—ฆ๐˜๐—ถ๐—น๐—น ๐Ÿšจ As digital ecosystems become more connected, ๐—ณ๐—ฟ๐—ฎ๐˜‚๐—ฑ, ๐—ฟ๐—ถ๐˜€๐—ธ, ๐—ฎ๐—ป๐—ฑ ๐—ฐ๐—ผ๐—บ๐—ฝ๐—น๐—ถ๐—ฎ๐—ป๐—ฐ๐—ฒ ๐˜๐—ฒ๐—ฎ๐—บ๐˜€ face growing pressure to stay ahead of evolving threats while balancing growth, security, and customer experience. The answer lies not only in technology, but in collaboration, shared intelligence, and industry-wide dialogue. That's exactly what #BFFManila was created to foster. Powered by @bureauidentity , #BFFManila brought together ๐—ณ๐—ฟ๐—ฎ๐˜‚๐—ฑ, ๐—ฟ๐—ถ๐˜€๐—ธ, ๐—ฐ๐—ผ๐—บ๐—ฝ๐—น๐—ถ๐—ฎ๐—ป๐—ฐ๐—ฒ, ๐—ณ๐—ถ๐—ป๐˜๐—ฒ๐—ฐ๐—ต, ๐—ฏ๐—ฎ๐—ป๐—ธ๐—ถ๐—ป๐—ด, ๐—ฎ๐—ป๐—ฑ ๐—ฑ๐—ถ๐—ด๐—ถ๐˜๐—ฎ๐—น ๐˜๐—ฟ๐—ฎ๐—ป๐˜€๐—ณ๐—ผ๐—ฟ๐—บ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—น๐—ฒ๐—ฎ๐—ฑ๐—ฒ๐—ฟ๐˜€ from across the Philippines for a day of candid discussions, practical insights, and meaningful industry exchange. ๐—ง๐—ต๐—ฒ ๐—ฐ๐—ผ๐—ป๐˜ƒ๐—ฒ๐—ฟ๐˜€๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—ฒ๐˜…๐—ฝ๐—น๐—ผ๐—ฟ๐—ฒ๐—ฑ: โ€ข Evolving fraud patterns and emerging threats โ€ข Customer onboarding and identity risks โ€ข Operational and compliance challenges โ€ข Fraud prevention strategies and technology innovation โ€ข Balancing growth, trust, and security in a rapidly changing landscape What stood out wasn't just the expertise in the room, it was the willingness to share experiences, challenge assumptions, and learn from one another. Thank you to our speakers, partners, industry leaders, and attendees for contributing to the dialogue and helping strengthen the fraud and risk ecosystem. And this is only the beginning. ๐—ก๐—ฒ๐˜…๐˜ ๐˜€๐˜๐—ผ๐—ฝ: #๐—•๐—™๐—™๐—๐—ฎ๐—ธ๐—ฎ๐—ฟ๐˜๐—ฎ ๐Ÿ“๐—š๐—ฟ๐—ฎ๐—ป๐—ฑ ๐—›๐˜†๐—ฎ๐˜๐˜, ๐—๐—ฎ๐—ธ๐—ฎ๐—ฟ๐˜๐—ฎ, ๐—œ๐—ป๐—ฑ๐—ผ๐—ป๐—ฒ๐˜€๐—ถ๐—ฎ ๐Ÿ“… ๐Ÿฎ๐Ÿฏ ๐—๐˜‚๐—ป๐—ฒ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ #BureauFraudForum #BFFManila #BFFJakarta #Bureau #FraudIntelligence #RiskManagement #Compliance #FraudPrevention #FinancialCrime #FinTech #DigitalTrust
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TrustWerx includes proactive darknet monitoring. The fraud intelligence team spots schemes targeting your platform before they execute. Not reactive. Not post-incident. Before the first transaction hits. $WERX #FraudIntelligence #TrustWerx
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๐Ÿ›ก๏ธ Hiring: Fraud Intelligence Analyst - Strategic Cyber Ventures Portfolio Company ๐Ÿ“ Remote (U.S.) or San Francisco | ๐Ÿ’ผ Full-time | ๐Ÿ• 20 hours ago - May 30, 2026 One of Strategic Cyber Ventures' portfolio companies is looking for an experienced investigator and intelligence professional who excels at following the money, uncovering networks, and connecting disparate signals into actionable intelligence. ๐Ÿ“‹ Responsibilities include: - Investigate active fraud rings using proprietary intelligence tools and external sources - Work directly with customers to identify and disrupt fraud activity - Deliver intelligence reports, briefings, and recommendations to stakeholders - Help shape how modern fraud investigations are conducted in an AI-enabled world ๐Ÿ”‘ Requirements: - 5 years investigating financial crime, fraud, or illicit networks - Background in fintech, payments, banking, crypto, or government agencies such as the FBI, Secret Service, HSI, FinCEN, Treasury, or IRS-CI - Experience identifying coordinated fraud activity, not just reviewing individual alerts - Comfortable with SQL, APIs, and modern AI tools as part of an investigative workflow - Strong analytical mindset with the ability to develop hypotheses and uncover hidden patterns in complex data sets ๐Ÿ“ฉ To apply: Please send a DM to Hank Thomas on LinkedIn: linkedin.com/in/hank-thomas-โ€ฆ ๐Ÿ”— Original post: linkedin.com/posts/hank-thomโ€ฆ โš ๏ธ DYOR! I donโ€™t verify every job. If someone asks to run files (even from GitHub) or ask for payment ๐Ÿšฉ likely a scam. โ—๏ธ I'm not hiring myself! I just sharing fresh web3/crypto/blockchain roles DAILY for all levels! ๐Ÿ’ก For Interns & juniors โ†’ t.me/crypto_vazima_english ๐Ÿ’ผ Mid/senior jobs โ†’ t.me/web3_jobs_crypto_vazima #Hiring #FraudIntelligence #FinancialCrimes #Fintech #AML #Investigations #ThreatIntelligence #RiskManagement #AI #FraudPrevention #Crypto #Blockchain #Web3 #Jobs #OpenToWork
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Chez Protegey, nous croyons que la confiance est le socle de tout avenir. En ce Tabaski, nous partageons nos vล“ux de paix et de solidaritรฉ avec vous et vos proches. Bonne fรชte de Tabaski #FraudIntelligence #FollowTheUser #FollowTheMoney #TransactionMonitoring #AML
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๐Ÿ‡ง๐Ÿ‡ท Alleged vehicle database linked to Brazilian dealership group โ€œGrupo Breitkopf (SC)โ€ has surfaced on underground forums. According to the post, the dataset allegedly contains records tied to approximately 1,083 vehicles registered or operating within Brazil, including: โ€ข License plates โ€ข Vehicle chassis/VIN numbers โ€ข RENAVAM identifiers โ€ข Stock/dealership location data โ€ข Buyer company information โ€ข Internal dealership tracking codes โ€ข Vehicle arrival dates โ€ข Vehicle color and inventory metadata The threat actor explicitly markets the dataset for: โ€ข Financial fraud โ€ข Loan-related abuse โ€ข Vehicle identity manipulation highlighting a growing underground trend where automotive and dealership datasets are increasingly monetized for fraud operations rather than traditional ransomware extortion alone. While the volume here is relatively smaller compared to mass consumer leaks, the sensitivity of the exposed fields is operationally significant. In Brazil, RENAVAM and VIN-related datasets can potentially support: โ€ข Vehicle financing fraud โ€ข Ownership impersonation โ€ข Synthetic identity schemes โ€ข Insurance fraud โ€ข Registration manipulation โ€ข Targeted dealership scams โ€ข Fleet fraud operations Automotive dealership ecosystems are particularly vulnerable because they often combine: โ€ข Financial services โ€ข Identity verification โ€ข Vehicle registration workflows โ€ข Insurance integrations โ€ข Third-party financing systems โ€ข CRM platforms โ€ข Logistics tracking systems into a single operational environment. This creates highly interconnected attack surfaces where compromise of: โ€ข Dealer management systems โ€ข CRM platforms โ€ข Inventory systems โ€ข Vendor portals โ€ข Third-party financing integrations can expose both: โ€ข Customer identity data and โ€ข Vehicle lifecycle intelligence. One important observation is the increasing underground value of โ€œvehicle intelligence datasets.โ€ Threat actors are no longer only interested in: โ€ข Credit cards or โ€ข Password databases. Instead, they increasingly target: โ€ข Vehicle identifiers โ€ข Fleet management systems โ€ข Registration databases โ€ข Automotive financing ecosystems โ€ข Telematics-related information โ€ข Dealer inventory systems because these datasets support broader fraud and criminal supply chains. The Brazilian market is especially attractive for these operations due to: โ€ข Large automotive financing ecosystems โ€ข High vehicle transaction volumes โ€ข Extensive dealership networks โ€ข Growing digitization of ownership and financing workflows Another concerning trend is the convergence between: โ€ข Cybercrime and โ€ข Real-world fraud operations. Vehicle-related leaks can potentially facilitate: โ€ข Physical theft targeting โ€ข Cloned vehicle documentation โ€ข Fraudulent financing applications โ€ข VIN manipulation schemes โ€ข Insurance claim fraud โ€ข Supply-chain diversion particularly when attackers combine multiple leaked datasets together. Organizations operating in automotive retail and dealership ecosystems should continuously review: โ€ข Dealer management system exposure โ€ข Third-party financing integrations โ€ข Identity verification workflows โ€ข Access governance โ€ข Vendor account segmentation โ€ข CRM security posture โ€ข Inventory platform access โ€ข API exposure โ€ข Employee credential hygiene because attackers increasingly exploit: โ€ข Weak SaaS integrations โ€ข Exposed portals โ€ข Credential reuse โ€ข Third-party compromise โ€ข Misconfigured cloud assets rather than directly breaching core infrastructure. At this stage, the underground forum claims remain unverified and should be treated cautiously until independently validated. #DDW #Brazil #CyberSecurity #DarkWeb #DataLeak #AutomotiveSecurity #FraudIntelligence #ThreatIntelligence #VehicleFraud #FinancialFraud #DealerSecurity #BrazilCybersecurity
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ThreatMon; aรงฤฑk kaynaklar, dark web, sosyal medya platformlarฤฑ, zararlฤฑ domainler ve tehdit aktรถrlerine ait dijital izleri sรผrekli analiz ederek kurumlarฤฑ hedef alan dolandฤฑrฤฑcฤฑlฤฑk giriลŸimlerini erkenden tespit eder.#ThreatMon #FraudIntelligence #CyberSecurity #ThreatIntelligence
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Lโ€™avenir de la lutte contre la fraude en Afrique repose dรฉsormais sur lโ€™intelligence collective des rรฉseaux, et non plus sur des approches isolรฉes institution par institution. #FraudIntelligence #AML #Compliance #TransactionMonitoring #FraudPrevention
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Wrapped Up ๐—™๐—จ๐—Ÿ๐—Ÿ ๐—›๐—ข๐—จ๐—ฆ๐—˜ at #BFFManila Powered by our partner @bureauidentity , ๐—•๐˜‚๐—ฟ๐—ฒ๐—ฎ๐˜‚ ๐—™๐—ฟ๐—ฎ๐˜‚๐—ฑ ๐—™๐—ผ๐—ฟ๐˜‚๐—บ ๐— ๐—ฎ๐—ป๐—ถ๐—น๐—ฎ converged a power-packed ๐—ณ๐—ฟ๐—ฎ๐˜‚๐—ฑ, ๐—ฟ๐—ถ๐˜€๐—ธ, ๐—ฎ๐—ป๐—ฑ ๐—ฐ๐—ผ๐—บ๐—ฝ๐—น๐—ถ๐—ฎ๐—ป๐—ฐ๐—ฒ ๐—น๐—ฒ๐—ฎ๐—ฑ๐—ฒ๐—ฟ๐˜€ across the Philippines to exchange what teams are actually navigating in todayโ€™s digital ecosystem โ€” beyond reports, beyond dashboards. The discussion moved across onboarding ๐—ฟ๐—ถ๐˜€๐—ธ๐˜€, ๐—ผ๐—ฝ๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—ฝ๐—ฟ๐—ฒ๐˜€๐˜€๐˜‚๐—ฟ๐—ฒ ๐—ฝ๐—ผ๐—ถ๐—ป๐˜๐˜€, ๐—ฒ๐˜ƒ๐—ผ๐—น๐˜ƒ๐—ถ๐—ป๐—ด ๐—ณ๐—ฟ๐—ฎ๐˜‚๐—ฑ ๐—ฝ๐—ฎ๐˜๐˜๐—ฒ๐—ฟ๐—ป๐˜€, ๐—ถ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐—ฎ๐—น ๐—ฐ๐—ผ๐—ผ๐—ฟ๐—ฑ๐—ถ๐—ป๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฐ๐—ต๐—ฎ๐—น๐—น๐—ฒ๐—ป๐—ด๐—ฒ๐˜€, and the constant balancing act between speed, growth, and trust. What made the room valuable wasnโ€™t just the attendance. It was the openness. People shared whatโ€™s changing, whatโ€™s breaking, whatโ€™s getting harder to detect, and where stronger collaboration across the ecosystem is becoming critical. Grateful to everyone who showed up, shared openly, and made #BFFManila a full house. The conversation has only just opened up. #BureauFraudForum #BFFManila #Bureau #FraudIntelligence #RiskLeadership #FraudAnalytics #DigitalFraud #FinancialCrime #Philippines
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๐—ช๐—ฒโ€™๐—ฟ๐—ฒ ๐—Ÿ๐—œ๐—ฉ๐—˜ ๐—ถ๐—ป ๐— ๐—ฎ๐—ป๐—ถ๐—น๐—ฎ ๐Ÿ‡ต๐Ÿ‡ญ The ๐—•๐˜‚๐—ฟ๐—ฒ๐—ฎ๐˜‚ ๐—™๐—ฟ๐—ฎ๐˜‚๐—ฑ ๐—™๐—ผ๐—ฟ๐˜‚๐—บ (๐—•๐—™๐—™), in partnership with @bureauidentity , is now in session โ€” convening ๐˜€๐—ฒ๐—ป๐—ถ๐—ผ๐—ฟ ๐—น๐—ฒ๐—ฎ๐—ฑ๐—ฒ๐—ฟ๐˜€ ๐—ฎ๐—ฐ๐—ฟ๐—ผ๐˜€๐˜€ ๐—ฏ๐—ฎ๐—ป๐—ธ๐˜€, ๐—ณ๐—ถ๐—ป๐˜๐—ฒ๐—ฐ๐—ต๐˜€, ๐—น๐—ฒ๐—ป๐—ฑ๐—ฒ๐—ฟ๐˜€, ๐—ฎ๐—ป๐—ฑ ๐—ฑ๐—ถ๐—ด๐—ถ๐˜๐—ฎ๐—น ๐—ฝ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ๐˜€ for a focused exchange on fraud intelligence and risk collaboration in the Philippines. Todayโ€™s discussions centre on emerging ๐—ณ๐—ฟ๐—ฎ๐˜‚๐—ฑ ๐—ฏ๐—ฒ๐—ต๐—ฎ๐˜ƒ๐—ถ๐—ผ๐˜‚๐—ฟ๐˜€, ๐—ฒ๐˜ƒ๐—ผ๐—น๐˜ƒ๐—ถ๐—ป๐—ด ๐—ฎ๐˜๐˜๐—ฎ๐—ฐ๐—ธ ๐—ฝ๐—ฎ๐˜๐˜๐—ฒ๐—ฟ๐—ป๐˜€, and the growing need for cross-industry intelligence sharing to strengthen ๐—ฟ๐—ฒ๐—ฎ๐—น-๐˜๐—ถ๐—บ๐—ฒ ๐—ณ๐—ฟ๐—ฎ๐˜‚๐—ฑ ๐—ฟ๐—ฒ๐˜€๐—ฝ๐—ผ๐—ป๐˜€๐—ฒ. Key focus areas include ๐—ฎ๐—น๐˜๐—ฒ๐—ฟ๐—ป๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—ฑ๐—ฎ๐˜๐—ฎ, ๐—ฏ๐—ฒ๐—ต๐—ฎ๐˜ƒ๐—ถ๐—ผ๐˜‚๐—ฟ๐—ฎ๐—น ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€, ๐—ฑ๐—ฒ๐˜ƒ๐—ถ๐—ฐ๐—ฒ ๐—ถ๐—ป๐˜๐—ฒ๐—น๐—น๐—ถ๐—ด๐—ฒ๐—ป๐—ฐ๐—ฒ, ๐—ฎ๐—ป๐—ฑ ๐—”๐—œ-๐—ฑ๐—ฟ๐—ถ๐˜ƒ๐—ฒ๐—ป ๐—ฑ๐—ฒ๐—ฐ๐—ถ๐˜€๐—ถ๐—ผ๐—ป๐—ถ๐—ป๐—ด in strengthening detection and prevention across digital ecosystems. ๐Ÿ—“๏ธ ๐Ÿญ๐Ÿฐ ๐— ๐—ฎ๐˜† ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ ๐Ÿ•• ๐Ÿฒ:๐Ÿฌ๐Ÿฌ ๐—ฃ๐—  ๐—ฃ๐—›๐—ง ๐Ÿ“ ๐— ๐—ฎ๐—ป๐—ถ๐—น๐—ฎ, ๐—ฃ๐—ต๐—ถ๐—น๐—ถ๐—ฝ๐—ฝ๐—ถ๐—ป๐—ฒ๐˜€ An evening of shared intelligence and collaborative defence begins. #BureauFraudForum #BFFManila #Bureau #FraudIntelligence #RiskLeadership #Fintech #FraudAnalytics #DigitalFraud #FinancialCrime #Philippines
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As fraud moves across institutions, platforms, and borders. Fraud intelligence should too. #Fraudintelligence #AML #TransactionMonitoring
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In our latest blog, we explore how account takeover works, the role mule accounts play, and the signals #FinancialInstitutions can monitor across the digital journey to identify suspicious activity earlier. ๐Ÿ”’ Learn more โžก๏ธ bit.ly/4c9EfJB #FraudTech #FraudIntelligence
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๐—™๐—ฟ๐—ฎ๐˜‚๐—ฑ ๐˜๐—ฒ๐—ฎ๐—บ๐˜€ ๐—ฎ๐—ฟ๐—ฒ ๐—ฑ๐—ฟ๐—ผ๐˜„๐—ป๐—ถ๐—ป๐—ด ๐—ถ๐—ป ๐—ฎ๐—น๐—ฒ๐—ฟ๐˜๐˜€, ๐—ป๐—ผ๐˜ ๐—ถ๐—ป๐˜€๐—ถ๐—ด๐—ต๐˜๐˜€. What if your system could think, investigate, and recommend actions autonomously? GenAI Agents donโ€™t just flag anomalies, they decode patterns, connect data points, and assist investigators in real time, transforming raw events into actionable intelligence. In modern telecom environments where fraud is fast, multi-layered, and increasingly sophisticated, ๐—š๐—ฒ๐—ป๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜๐˜€ ๐—ฎ๐—ฐ๐—ฐ๐—ฒ๐—น๐—ฒ๐—ฟ๐—ฎ๐˜๐—ฒ ๐—ถ๐—ป๐˜ƒ๐—ฒ๐˜€๐˜๐—ถ๐—ด๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€, ๐—ฟ๐—ฒ๐—ฑ๐˜‚๐—ฐ๐—ฒ ๐—ณ๐—ฎ๐—น๐˜€๐—ฒ ๐—ฝ๐—ผ๐˜€๐—ถ๐˜๐—ถ๐˜ƒ๐—ฒ๐˜€, ๐—ฎ๐—ป๐—ฑ ๐—ณ๐—ฟ๐—ฒ๐—ฒ ๐˜‚๐—ฝ ๐—ต๐˜‚๐—บ๐—ฎ๐—ป ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜๐˜€ ๐˜๐—ผ ๐—ณ๐—ผ๐—ฐ๐˜‚๐˜€ ๐—ผ๐—ป ๐˜€๐˜๐—ฟ๐—ฎ๐˜๐—ฒ๐—ด๐—ถ๐—ฐ ๐—ฐ๐—ต๐—ฎ๐—น๐—น๐—ฒ๐—ป๐—ด๐—ฒ๐˜€. Are your current processes reactive or is your fraud stack empowering proactive decision-making? Audit your detection-to-response cycle today. Request a demo. hubs.ly/Q03xPq9P0 #FraudIntelligence #GenAIAgents #AIinTelecom #ProactiveDetection #NewPossibilitiesNowPossible
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