Business Email Compromise Prevention

BEC Attacks: The Number One Email Threat.

Between 2015 and 2019, BEC attacks cost businesses across the world over $26 billion in losses and in the last 2 years, the number of attacks has increased by 100%

Most organizations rely on protecting their email infrastructure to stop BEC attacks. They do this by securing their domain, using DMARC, DKIM, and SPF, two-factor email authentication etc.

But such an approach has limitations as it can only protect against a small subset of BEC attacks that impersonate your own domain. BEC attacks are successful because unsuspecting email users get breached.

Tessian Defender Tackles Business Email Compromise →

Get in touch

See How Tessian Prevents BEC Attacks.

Customers around the world trust Tessian to stop the advanced threats other solutions can’t. Request a demo now to learn how Tessian can protect your organization.

Request a Demo

TESSIAN HUMAN LAYER SECURITY

How Tessian stops BEC attacks with Human Layer Security:

Modeling User Relationships and Communication Patterns

Unlike legacy email solutions that use a rule-based approach, sender reputation, and deny/allow lists, Tessian’s machine learning can detect the most sophisticated attacks and zero-day threats by identifying granular behavioral anomalies. When you first deploy Tessian, our machine learning algorithms analyze 12 months of historical email data to learn and understand evolving relationships within your email network.
Threat Benchmarks

Tessian’s Global Threat Network, a rapidly growing database of all known spear phishing, BEC, and other targeted impersonation attacks - helps identify and prevent inbound threats before they’re ever seen in your environment.
Analyze the Data Layer

Tessian analyzes email metadata in real time and identifies anomalies by comparing inbound emails with your historical email dataset and the Tessian Global Threat Network. We process billions of email data points to compare against normal email behavior and map trusted email relationships to detect the most subtle anomalies of an attack.
Content X-Ray

Tessian uses natural language processing (NLP) and conducts deep content inspection to look for email content that has malicious intent.
Behavioral Analysis

A 3-level behavioral analysis then identifies the most attacked person(s) in your organization, the spread of the attack, and previous instances of such an attack.
Contextual Employee Education

Tessian prevents users from becoming victim to an attack by explaining what is unusual about the email with contextual warnings. This in-the-moment training helps them to detect future attacks over time.

Download Your Free Guide

Learn More About the Dangers of BEC Attacks.

See how you can reduce email risk and defeat BEC attacks using Tessian's machine learning technology and behavioral analysis.

Download Infographic