Heimdal Email Fraud Prevention

Additional features

Advanced AI Analysis

Utilizes machine learning and a vast number of analysis vectors to detect subtle fraudulent cues that traditional filters might miss.

Threat Intelligence Integration

Combines automated analysis with live threat intelligence to stay ahead of new and evolving scams.

Phraseology Analysis

Scans email content for language and phrasing typical of fraudulent attempts or scams.

Attachment Analysis

Evaluates email attachments for potential malicious character and tracks any modifications.

HTML Analysis

Identifies and flags HTML templates or tags within an email that deviate from normal patterns.

Suspicious Link Detection

Counts and identifies URLs that our detection engine has flagged as suspicious.

Clickbait Detection

A neural network assesses whether the email content is designed as clickbait.

Language Analysis

Compares the language used in an email with the typical languages used within the organization to detect anomalies.

Outlier Detection

Uses AI to identify and flag emails that are statistically unusual or "out-of-character" for a user's communication history.

Quarantine and Tagging

Allows administrators to quarantine suspicious emails or tag their subjects with a warning label, giving them control over potential threats.

Retroactive Scanning

The system can retroactively identify malicious emails, ensuring no threat goes undetected.