Current analysis on payment security, fraud prevention, AML/KYC, and PCI DSS compliance.
Cryptography FundamentalsThe Conventional Wisdom You ve heard the pitch: distribute your signing keys across multiple parties using threshold signatures , then run those shares inside Trusted Execution Environments (TEEs). Th
Cryptography FundamentalsIf you re involved with the cryptographic components of payment systems, you ve likely heard about ARX-based S-boxes. Whether your team is exploring lightweight encryption for contactless payments or
Cryptography FundamentalsWhat Happened WhatsApp and iMessage implemented key transparency systems to prevent servers from inserting malicious public keys into encrypted conversations. While effective for detection, these syst
Cryptography FundamentalsYou ve probably heard the pitch: large language models (LLMs) can now tackle theoretical cryptography, proving conjectures and advancing symmetric cryptanalysis. The Pilot, Sailor Framework uses these
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Cryptography FundamentalsWhen your team selects a cryptographic primitive to protect cardholder data, you re choosing from a family of related constructions that share fundamental security properties. Understanding these rela
Cryptography FundamentalsThe TALUS v4 protocol fell to a two-transcript attack because its coordinator could reuse a pooled nonce across different signing quorums. An adversary controlling the coordinator and T-1 parties obta
Cryptography FundamentalsThe Challenge wolfSSL s hand-written SIMD assembly implementations of ML-KEM had a critical flaw: they didn t compare all the ciphertext bytes during the Fujisaki, Okamoto check. The x86-64 AVX2 path
Fraud Detection AnalyticsYour fraud risk assessment shouldn t be a static document updated once a year and then forgotten. It should be a dynamic tool that accurately maps your organization s exposure to fraud schemes, reflec
AML and KYCThe conventional wisdom says more is better. File liberally. When in doubt, file. Your institution s SAR count demonstrates vigilance to examiners, and you can t be faulted for over-reporting. Better
Fraud Detection AnalyticsAn estimated 70% of fraud is committed by insiders, yet many organizations haven t clearly defined what their internal audit function should do when fraud surfaces. Your team might be asking too much
Incident Response and SkimmingYour fraud team spots unusual transaction patterns at 2 a.m. By 9 a.m., you re in a conference room with compliance, legal, IT, and your CISO. Everyone wants answers you don t have yet. Without a stru
Regulations and StandardsAI-augmented scanning tools are identifying vulnerabilities faster than your team can assess them. The National Institute of Standards and Technology is exploring whether AI can help manage this surge
AML and KYCYour organization files Suspicious Activity Reports (SARs). But who analyzes the intelligence those reports generate, and how do you decide whether to build internal capacity or rely on external Finan
Fraud TypologiesA victim in Central Europe spent 13 minutes on the phone with someone claiming to be from their bank. By the time the call ended, they d installed two pieces of malware, taken out a loan they didn t r
Payment EcosystemWhen a faulty software update at a service provider allowed €30 million in unauthorized withdrawals from Commerzbank customer accounts over four days in November 2023, it wasn t just one mistake that
Fraud Detection AnalyticsYou ve heard it in every AML training: human smuggling looks different from other financial crimes. It s cross-border, violent, and involves organized networks moving people, not just money. That fram
