Phishing is one of the main points of compromise, with email security and awareness being estimated at \$50-100B in 2022. There is great need for email forensics capability to quickly search for malicious content. A novel solution POST is proposed. POST is an API driven serverless email archival, processing, and flagging workflow for both large and small organizations that collects and parses all email, flags emails using state of the art Natural Language Processing and Machine Learning, allows full email searching on every aspect of an email, and provides a cost savings of up to 68.6%.

Innovations in artificial intelligence (AI) have fundamentally changed the email security landscape in recent years, but it can often be hard to determine what makes one system different than the next. In reality, under that umbrella term significant differences exist in approaches that may determine whether the technology provides genuine protection or simply a perceived notion of defense. The Rise of Fearware When the global pandemic hit, and governments began enforcing travel bans and imposing stringent restrictions, there was undoubtedly a collective sense of fear and uncertainty. As explained in this blog, cybercriminals were quick to capitalize, taking advantage of people's desire for information to send out topical emails related to COVID-19 containing malware or credential-grabbing links. These emails often spoofed the Centers for Disease Control and Prevention (CDC) and, later on, as the economic impact of the pandemic began to take hold, the Small Business Administration (SBA).

Email security designed around machine-learning makes it possible to automatically prevent data breaches. Learn more about how it works.

Using machine learning to build a library of known and unknown patterns for an individual user.