Email Security

Most breaches still start with a single email: a malicious attachment, a link to a fake login page, or a message impersonating a colleague or vendor asking for a payment or a password. Email remains the easiest way to reach almost anyone at an organization directly, and it's the channel attackers return to first.

This category exists to filter that traffic before it does damage — catching known malware and phishing patterns, recognizing impersonation that carries no malicious payload at all, and giving employees a fast way to report whatever slips through, so a single click doesn't have to be the difference between a routine day and a full incident.

The problem it solves

Email as a protocol was never built with sender verification in mind, so anyone can claim to be anyone in the "from" field unless an organization actively enforces authentication standards. Attackers exploit that gap constantly: spoofed domains, lookalike addresses, and increasingly AI-generated messages that read as convincingly as a real colleague's writing, none of which a spam filter tuned only for obvious junk mail will reliably catch.

The volume compounds the problem: no security team can manually review every inbound message, so detection has to happen automatically and continuously, at the scale of every email arriving every second.

How it works

Detection starts with scanning message content, links, and attachments for known malware signatures and phishing patterns, often detonating suspicious attachments and links in an isolated sandbox before a user ever sees them. Layered on top is behavioral detection aimed specifically at business email compromise: messages with no malicious payload at all, just a convincing impersonation asking for a wire transfer or sensitive data, which signature-based scanning alone would let straight through.

Outbound, the same systems enforce DMARC, SPF, and DKIM so attackers can't spoof the organization's own domain in attacks against its customers and partners. A user-reported phishing workflow lets employees flag anything suspicious that reached the inbox anyway, routing it for rapid analyst review, and email-focused data loss prevention watches outbound messages for sensitive data leaving through the same channel.

Secure email gateway vs API-based detection

A secure email gateway sits inline in front of the mail flow, typically by redirecting an organization's mail records through it, inspecting and filtering every message before it ever reaches a mailbox. That positioning is powerful for blocking obvious malware and mass phishing at the door, but it can't easily see messages sent internally between colleagues, since those never cross the gateway at all.

API-based detection instead connects directly to the mailbox platform itself, scanning messages that have already arrived — including internal mail — and can act after delivery: pulling a message back once it's recognized as malicious, or restricting what an attacker who already compromised an account can do next. Many organizations run both layers together, trading a bit of redundancy for coverage neither approach provides alone.

Choosing one

Start with which email platform is in use, since integration depth with that specific system determines how much of a candidate's detection capability is available at all. From there, weigh how much of the threat faced is signature-detectable malware versus subtler impersonation and account-takeover attempts, since the two call for different detection approaches.

Finally, consider how tightly email security should connect to a broader human-risk program: when a real phishing attempt and a training simulation both feed the same reporting workflow and risk score, employees build one habit instead of learning to treat security tooling as background noise.