Enhanced Explainability of Account Takeovers

To detect account takeovers, Abnormal Security’s machine learning algorithms utilize many factors related to location, devices, and applications. However, until now, much of that information was not exposed to users. In an effort to be as customer-centric as possible...
March 20, 2021

To detect account takeovers, Abnormal Security’s machine learning algorithms utilize many factors related to location, devices, and applications. However, until now, much of that information was not exposed to users. In an effort to be as customer-centric as possible, we're changing that starting today.

We have made significant improvements to the explainability of account takeover cases. Within the product, we added more information to the sign-in cards, including ISP and device trust type. We also highlight why sign-ins are suspicious to provide further information to those reviewing potential account compromises. In the example below, the IP address was very rare for the user and the company, and it is also a proxy, which attackers frequently use to hide their identities.

Additionally, we are surfacing our deep knowledge of sign-in characteristics. For example, analysts can now see the common states from which the user signs in, and what operating systems they typically use. This information can be extremely helpful in terms of judging a case.

Abnormal Security excels in its accuracy in detecting account takeover attacks. Just as importantly, we are on the cutting edge of machine learning explainability so that users can understand why we think an account takeover has occurred.

To learn more about our account takeover functionality, request a demo today.

Enhanced Explainability of Account Takeovers

See Abnormal in Action

Schedule a Demo

Get the Latest Email Security Insights

Subscribe to our newsletter to receive updates on the latest attacks and new trends in the email threat landscape.

 

See the Abnormal Solution to the Email Security Problem

Protect your organization from the full spectrum of email attacks with Abnormal.

See a Demo
 
Integrates Insights Reporting 09 08 22

Related Posts

B 1500x1500 Knowledge Base People Base L1 R1
Discover how Abnormal uses contextual, behavioral data to uncover anomalous activity across logins and devices with PeopleBase.
Read More
ABN B 12 2 22 Expanding our partnership L1 R2
Our partnership with Microsoft has created plenty of opportunities to celebrate. Here are some of the especially exciting moments from 2022.
Read More
B 1500x1500 5 key takeaways L1 R1
Ed Amoroso discusses the biggest security risks with cloud email and how to prevent them.
Read More
B Threat Intel Phishing Attacks HR Policies
Threat actors are capitalizing on the new year, posing as human resources officials to send credential phishing attacks.
Read More
ESG Blog
ESG’s technical validation proves the risk reduction capabilities of Abnormal Cloud Email Security.
Read More
CFO Cover
Industry-leading CFO Sam Wolff discusses spending on security technology in the current macroeconomic conditions.
Read More