Email attacks are now built around timing. A phishing email does not need to sit in an inbox for days to create damage. A user can click in minutes, a finance team can act on a fake vendor request before anyone checks the sender, a malicious link can look harmless at delivery and turn dangerous later, or a reply can come from a compromised account inside a trusted thread and bypass the usual suspicion that comes with a new sender.
Most cyberattacks don’t look malicious anymore; rather, they’re as normal as they can be. An email arrives from a known vendor, the tone matches past conversations, the timing aligns with an active transaction... Nothing triggers suspicion until money moves or data leaks.
Enterprises already know that the inbox is one of the easiest ways for attackers to get into the business. The real question is narrower: when vendors say they use AI-based email security, what actually changes compared with rule-based, traditional email security?
Just a year or so ago, email security was mostly about blocking what looked obviously bad, such as known malicious links, suspicious attachments, spoofed domains, and spammy language. All of that is still relevant, but today’s attacks often look normal, timely, and believable with AI. And it’s why AI itself has become critical in email security.
Rocky the Raptor here, RPost’s cybersecurity product evangelist. Let me tell you the story of a real estate transaction that could have possibly ended in BEC/wire or escrow fraud. Though I’ve got eyes sharper than a closing attorney reviewing a title commitment, I admit this one almost slipped through the cracks!
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