Abnormal Resolves Missed Attack Submissions 94% Faster

Abnormal’s behavioral AI approach baselines known good behavior to block all attacks ranging from targeted social engineering to everyday spam, and this detection efficacy has been well recognized by our customers.

However, security teams must be fully prepared to rapidly respond to rare scenarios where false positives or missed attacks arise.

We built Abnormal’s Detection 360 directly into the product to make it incredibly easy for customers to submit false positives or missed attacks, and get real-time updates from Abnormal on investigation, conclusion and remediation.

With this, the entire process - from submission to threat containment - got 94% faster.

With Detection 360, customers can:

1. Submit a missed attack or a false positive incident from within the product’s Detection 360 tab

2. Get notified and see exactly when the investigations team at Abnormal receives and starts reviewing the submission

3. Know whether the submission was deemed a missed attack or a false positive, along with a detailed explanation

4. Abnormal automatically remediates the submission, contains the attack, and improves the detection engine to ensure that this scenario does not occur again, for any of our customers!

The automation built into Detection 360 saves customers and Abnormal, much time by streamlining the entire process. Plus, customers can track all their past and current submissions, all from within the product.

The 94% improvement in response and containment times made possible by Detection 360, when compared to conventional methods, helps security teams minimize exposure to threats lurking within mailboxes that could lead to account takeovers, malware infections, intellectual property losses, compliance issues, or even lawsuits over data breaches.

Abnormal is committed to rapidly innovating to improve its detection capabilities, and built-in automation and processes that help security teams stay ahead of attackers. Detection 360 brings these innovations, specifically those related to its detection improvements to the forefront.
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