| BlogIt’s been almost 2 weeks since Meta dropped a bombshell on the AI world by openly releasing their updated LLAMA model. As the hype dust settles, let’s have a look at how it can be used in commercial and academic environment and manage our expectations accordingly.
Continue reading “Practical Applications of LLAMA 3.1 Model”Category: Fintech
Active Directory Pwned Filter
Prevent fraud and increase security of your on-prem network by filtering Active Directory credentials against global databases of compromised passwords.
Continue reading “Active Directory Pwned Filter”RDP Certificate problems on macOS
Microsoft’s own RDP client does not like their 1.3.6.1.4.1.311.54.1.2 key usage, contrary to MS own guidelines.
Continue reading “RDP Certificate problems on macOS”Office 365 SPF Protection
This article describes my issues with Microsoft’s SPF implementation uncovered during a Thanksgiving phishing attack. Continue reading “Office 365 SPF Protection”
Fintech Industry Adoption of Blockchain Ledgers
Blockchain is the new WEB 2.0 – a brief recommendation report on how the omnipresent technology fits into modern fintech developments. Continue reading “Fintech Industry Adoption of Blockchain Ledgers”
Azure AD Connect Duplicate Entries
If your system uses AADDS for authentication, Azure AD Connect is a great way to improve the user experience in corporate environments. Unfortunately, this quite new successor to DirConnect doesn’t always get things right and you might end up with duplicate content in your Azure / O365 tenant. Continue reading “Azure AD Connect Duplicate Entries”
Risk Mitigation Network 1/4 – Database Structure
With the dawn of new era dominated by web scale technologies, financial services might be one of the few markets, where data consistency and operational reliability outweighs (often questionable) performance advantages of noSQL. Continue reading “Risk Mitigation Network 1/4 – Database Structure”
Real Time OLAP Risk Mitigation
In this series of articles, I’m going to describe a low-latency risk assessment & mitigation platform built on top of a relational SQL database. The purpose of our setup is to provide a live query subsystem capable of handling large quantities of requests whilst keeping load bursts isolated from the main operational cluster. Continue reading “Real Time OLAP Risk Mitigation”