Fighting business email compromise (BEC)
has become one of the top challenges for enterprise security professionals.
The cost of falling victim to BEC incidents has been on a sharp uptick for years, with hackers discovering more and more exploits in an increasingly vulnerable domain. This pattern began to be noticed by both the private sector and law enforcement back in 2020 when the average BEC payment nearly doubled between the first and second quarter of that year. The FBI has noted that, between 2014-2019, they saw claims of over $2.1 billion in losses from BECs. Unfortunately, that trend is only growing. Gartner predicts that through 2023 BEC attacks will continue to double each year, and incur a cost of over $5 billion to its victims.
The Industry Standard falling short
The industry standard for email defense, Exchange Online Protection (EOP) has come up short in recent years. To the surprise of many companies who’ve invested in legacy EOP solutions like Microsoft Defender, these platforms are able to defend against basic attacks, but end up missing the exploits of more sophisticated cybercriminals.
So why are incidents of BEC so hard to stop?
The answer, in a word, is context.
Not all BECs come with the hallmark signs of an attack. In order to identify the broad range of exploits and achieve optimal protection, a system needs internal context to know that one is occurring. The basis for much of today’s email security Secure Email Gateway (SEG) technology, is simply not capable of developing this understanding. What’s more, many of these systems are designed only to monitor inbound email and have no way of scanning internal communications.
Email Protection Powered by AI
GTB’s Email DLP is the solution that overcomes all the essential challenges of enterprise email protection.
With its cutting-edge artificially intelligent technology, GTB does not rely on predetermined flags to stop email exfiltration and other email-based attacks. GTB’s detection engines provide a near 100% virtual zero false positve detection rate. This proven technology not only eliminates false positives but can reliably ensure email remains a secure channel for both internal and external communications.
Visibility: Accurately, discover sensitive data; detect and address broken business process, or insider threats including sensitive data breach attempts.
Protection: Automate data protection, breach prevention and incident response both on and off the network; for example, find and quarantine sensitive data within files exposed on user workstations, FileShares and cloud storage.
Notification: Alert and educate users on violations to raise awareness and educate the end user about cybersecurity and corporate policies.
Education: Start target cyber-security training; e.g., identify end-users violating policies and train them.