Graph and Entity Resolution Against Cyber Fraud
With the growing prevalence of the internet in our daily lives, the risks of malware, ransomware, and other cyber fraud are rising. The digital nature of these attacks makes it very easy for fraudsters to scale by creating thousands of accounts, so even if one is identified, they can continue their attacks.In this blog post,…
Combat Fraud with Graph
Fraud is one of the most significant issues facing businesses today. While companies have always faced fraud, detecting fraudulent activity has become even more challenging due to increased online transactions. Globally, fraud results in more than $3.7 trillion in annual losses (Murphy, 2022). Fraud comes in numerous forms, including but not limited to money laundering,…
Why Should You Care About SOC 2?
And by the way, ArangoDB is SOC 2 compliant! While driving along California’s Highway 101 and its billboards, compliance and SOC 2 seem to be an omnipresent – yet challenging – topic. But is it really? And if so, why? In this blog post, we want to share why and how ArangoDB has become SOC…
Introducing the ArangoDB-PyG Adapter
Estimated reading time: 10 minutes We are proud to announce the GA 1.0 release of the ArangoDB-PyG Adapter! The ArangoDB-PyG Adapter exports Graphs from ArangoDB, the multi-model database for graph & beyond, into PyTorch Geometric (PyG), a PyTorch-based Graph Neural Network library, and vice-versa. On July 29 2022, we introduced the first release of the PyTorch…