QRadar offers four types of sentries: Behavior sentries look for changes in network behavior over time; anomaly sentries learn what normal behavior is and then alert on abnormalities; policy sentries alert on detected traffic; and threshold sentries alert on defined traffic thresholds. In my tests, I created a policy sentry to detect client connections to TCP server Port 2745 and found another worm--the Beagle.
Sentry alerts show up in the alert console (see screen, page 32). Alerts are organized by a combination of factors: weight, the network object (in this case subnet-92), the package (OtherOneSidedFlows High) and the Sentry (Worm_policy _all), with the highest weights presented first.
The alert console displays two graphs: One shows traffic at the time the event occurred; the other, real-time network activity/traffic. For further analysis, you can drill down into either graph. Eventually you can dismiss an event or send the alert to other QRadar users.
Reporting In
QRadar's customizable reporting system lets you define and schedule reports. I wanted a daily report on the threats QRadar detected, so I selected that view. In the report window, two layers--host count and packets--are exposed or hidden. I scheduled the report to be run daily at midnight and requested it as an Adobe PDF file in an e-mail. Reports can be sent as XML and CSV (comma separated value) files, too.
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By combining resources and expertise, the AI-Enabled ICT Workforce Consortium will offer a blueprint for how industries can adapt to an AI-dominated future.
IT leaders should heed the guidance of cybersecurity insurance providers who think businesses should prioritize security education, incident preparedness, regular internal audits, and ongoing vulnerability scanning and patching.
