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- 1Software Cryptography Audits Must Name Modules, Not Just Code Lines▼Most of the cryptography your program runs was written by somebody else. A scan that stops at... # python # fintech # cr
Developers are being reminded that most cryptographic code running in modern programs was written by someone else, usually in third-party libraries. A cryptography inventory that only lists lines in a project's own source misses these dependencies. The argument is that proper audits must name the actual module providing each cryptographic function, a point seen as increasingly important for fintech and security-sensitive software.
- 2Five checks to validate creator video jobs before submission▼Creator video generation is a contract check before it is a queue operation. In a fintech studio, I... # video # fintech
A developer working in a fintech studio has outlined a five-step validation routine for AI-generated creator videos, arguing that every generation request should pass a contract check — format, permissions, and constraints — before it ever enters the processing queue. The checklist-style write-up is being shared in software engineering and moderation communities, with readers weighing how strict pre-submission validation can reduce failed jobs and moderation headaches in video-heavy fintech products.
- 3Marble raises €6.5M Series A led by Smartfin▼Marble raises €6.5M Series A led by Smartfin for its open-source fraud and AML platform
Marble, a startup building an open-source platform for fraud detection and anti-money-laundering compliance, has raised €6.5 million in Series A funding. The round was led by Smartfin, with the capital expected to support product development and growth. The move highlights growing investor interest in open-source tools for financial crime compliance.
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Marble, a compliance technology company, has raised €6.5 million to expand its AI-powered tools for fraud detection and anti-money-laundering compliance. The funding will support development of automated solutions that help financial institutions meet regulatory requirements. Interest in the round reflects growing demand for AI-driven compliance software as regulators tighten scrutiny of financial crime risks.