General IT Archives

Authentication Fraud

The Problem Metered attacks that generate low volume log-in attempts, from diverse IPs and across extended time frames, are designed to avoid the "3 strikes in 24 hours" business rules in authentication applications and the more complex analysis of log analytics / SIEM platforms. Batch solutions by definition cannot react until after a compromise has occurred while all real-time solutions impose time windows -- any data falling outside these rolling windows, no matter how important, is simply...

Streaming Graph ETL

by thatDot | Use Cases

The Problem Most ETL tools use the batch processing paradigm to find high-value patterns in large volumes of data. Whether the specific business application is fraud detection, cyber security, network observability, e-commerce or ad targeting, batch processing translates into delay. Even if you are processing data in small batches, you are missing opportunities to react to events as they happen and shape outcomes in ways beneficial to your business. A great example is insider trading. The cost...

Log Analysis

by thatDot | Use Cases

The Problem Monitoring systems comprised of multiple services is typically done by monitoring each service individually using it's logs, or on an end to end basis that lacks visibility into the individual performance characteristics of each service. Root cause analysis is usually based on operations personnel instinct and past experience, making automated remediation next to impossible for many use cases. The Solution With thatDot's streaming graph logs and events from servers, operating...

Graph AI

by thatDot | Use Cases

The Problem Pick One. Recent AI research is generating a growing number of graph AI techniques that take advantage of graph data relationships, and the rich context it provides, however production graph data pipelines lack the performance needed to deploy these new tools at scale. Graph AI development promises significant advances for AI application to a range of use cases thanks to the rich data context available from a graph data model. Moving graph AI techniques from the lab to production...