How many reports can a great analyst read in a day? What if they miss something? Security professionals demand up to date, relevant information, but you have to read a report to determine if it’s important and there are thousands to read. It’s a classic catch-22.
Our Data Team, led by Sean Maday, has built neural networks that analyze more than 36,000 reports from 18,000 unique sources, every day. The machines scan for usefulness, severity, and location, and “cluster” duplicate reports to accelerate verification and reduce noise. Then, the machines automatically summarize each incident and plot them in a simple interface.
The result? Both the big picture and the most relevant details, at your fingertips:
That’s a lot of risk events. Don’t worry, though, we’ve made it easy to filter them!
With one click, you can drill directly into a single report from a macro view, create filtered views for more focused analysis, and easily access features ranging from alerts to mass communication to travel itineraries.
