We’re proud to announce the availability of AIOps for NGFW 2.5 to help our customers improve the operational efficiency of managing firewalls from a health and performance point of view, maximize their security posture and visualize and report the interplay between users, applications, and threats across their entire deployment. Here is a sample of the key features in this release:
With Dynamic Thresholds, AIOps automatically adjusts the warning level threshold values by employing ML algorithms that learn the behavior of the underlying metric. This feature means the Alert is generated only when the firewall is experiencing an actual problem. This dramatically reduces alerts that, with static values for the thresholds, might be created because of a cyclical behavior, or even if the normal behavior of the metric is just above the out-of-the-box static threshold values.
AIOps for NGFW relies on CDL data for many of its analytics features and ensuring the availability and integrity of that data is key to a well-oiled AIOps for NGFW deployment.
When the operator receives a new request for a policy change, this feature allows the operator to understand if the desired outcome of this policy is already met, explicitly refuted or denied by default.
You can also see a demo of some of the above features in this post.
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