Abnormal Increases Compromised Account Detection Accuracy by 10%

One of our key objectives at Abnormal is to provide the highest precision detection to block all never-before-seen attacks. We stop a wide range of threats, encompassing everything from social engineering attacks and business email compromise to everyday spam, and we do it without requiring customers to create countless rules, as is the case with traditional secure email gateways.

But perhaps the best protection we can provide is against compromised accounts, which allow threat actors into an organization. Once an account is compromised, either through credential phishing, brute force attacks, or something else, a cybercriminal has full access to all the data in the account, which can be used for nefarious purposes, including sending additional attacks on coworkers and customers. Because this is key to protecting our customers, we’re constantly working to improve our detection engine.

While our detection capabilities have always been best-in-class, attackers are always changing their tactics. In order to constantly improve our product and stay ahead of them, we needed to gain a deeper understanding of cases involving false negatives or false positives.

This was achieved by identifying trends in cases, which we did by grouping similar behaviors and observations together. This allowed us to prioritize our efforts and address the trends with the highest potential impact. The end result is that the Abnormal engineering team improved the account takeover recall accuracy by 10%.

This means when you receive an account takeover alert, you have the utmost confidence to know it is legitimate and action should be taken.

With Account Takeover Protection, customers can:

1. Receive an alert via email, third-party SIEM and SOAR providers, or within the product’s Cases tab when an account takeover incident has occurred.

2. Provide an explainable attack analysis of the incident. Abnormal gathers and organizes all evidence that led to the incident, along with summarized conclusions to equip security teams to take immediate action and provide context to the wider organization.

3. Automatically remediate compromised accounts by signing users out of all active sessions, immediately disabling the account, and performing a password reset. This can optionally be configured to be performed manually through the product UI.

The combined impact of reducing the noise from incorrectly flagged email messages by 20% and saves customers tremendous time by reducing alert noise. This helps IT 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. We’re excited to bring these innovations, specifically those related to its detection improvements, to the forefront.