Investigating a security risk can involve wrangling dozens of data sources. To uncover a successful phishing attack, you might have to integrate email records, process executions, user behavior, file access, netflow, antivirus alerts, etc. Gathering and correlating those logs is slow and cumbersome, making it difficult to follow the attack chain.
Sift Security's product extracts the most important information from disparate data sources into one straightforward, scalable system: a relational graph. Using the graph makes investigations faster, easier, and more intuitive. The graph also provides context to our machine learning platform, enabling it to discover and prioritize relevant anomalous activity.