AI Email Security for Phishing: Agents That Catch What Filters Miss
Deploy AI Phishing Protection by API in Minutes, With No MX Changes
How AI Agents Detect Phishing Without Signatures or Rules
AI Agents vs Secure Email Gateways vs Native Filters for Phishing
Three ways to stop email phishing, and what each one can and cannot see.
| Capability | AegisAI AI agents | Secure email gateway (SEG) | Microsoft 365 / Google native filters |
|---|---|---|---|
| What it inspects | Sender relationship, the request, language and context of every message | Known-bad URLs, attachment hashes, domain reputation | Bulk spam and known signatures at platform scale |
| Zero-day and no-payload phishing | Caught by reasoning about intent, no prior sighting needed | Missed until a signature or reputation entry exists | Missed until a signature or reputation entry exists |
| Phishing sent from hijacked real accounts | Flagged on the request and the cross-message pattern | Delivered: real sender, valid authentication | Delivered: real sender, valid authentication |
| Adversary-in-the-middle (AiTM) kits | Caught on lure structure and intent, no URL fetch required | Link rewritten and delivered when the page cloaks to scanners | Often delivered when the page serves clean content to scanners |
| Post-delivery remediation | Removes the message from every inbox before users see or click | None; acts at the perimeter only | Limited to platform tooling |
| Deployment | API connection in minutes, no MX change | MX record change, typically weeks | Built in |
| False positives | Up to 90% fewer than legacy filters | Ongoing rule tuning to keep noise down | Tuned through platform policies |
| Explainability | Written reasoning on every verdict | The rule or score that matched | A category or score |
Up to 90% Fewer False Positives, 22% More Phishing Caught
As a former security founder, I’ve seen the cat-and-mouse game play out for decades—especially in email security, where attackers constantly evolve to trick employees. Aegis is the first solution that truly changes the game. They came into Mesh and stopped attackers in their tracks. Our dashboard shows everything from fuzzing attempts to AI-generated spear phishing and BEC, and Aegis catches them all—without my team wasting time managing rules.
Explainable Verdicts on Every Phishing Email
Built for Security Teams: SOC 2 Type II, Self-Hosted Models
AI Email Security for Phishing: FAQs
How does AI phishing detection work without signatures or rules?
Instead of matching a message against known-bad URLs, attachment hashes, or domain blocklists, AegisAI's agents read the message the way an analyst would: who is sending it, what it asks the recipient to do, and whether that request fits the context. A first-time sender asking finance to change wire details is flagged on intent, not on an indicator. That works from the first day of deployment, with no rules to write and no baseline to train.
What is the best AI security solution for email phishing?
The best AI security solution for email phishing is one that catches the attacks signature-based tools miss: zero-day phishing on new infrastructure, no-payload spear phishing, adversary-in-the-middle (AiTM) kits that defeat MFA, and lures sent from hijacked real accounts. Judge candidates on four things: whether detection depends on known-bad indicators, the false-positive rate measured on your own mail, whether every verdict comes with readable reasoning, and whether it deploys by API without MX changes. AegisAI is built around those four, and the fastest way to test the claim is a proof of value on your own traffic.
Can AI email security catch AI-generated and zero-day phishing?
Yes, and it is where the gap with legacy filters is widest. In AegisAI's State of the AI Threat in Email: 2025 report, 50.3% of AI-generated phishing got past the built-in Gmail and Microsoft filters, against 28.5% of human-written phishing. Those messages have clean grammar, fresh domains, and no prior sighting in any threat feed. AegisAI's agents analyze each message in real time, so a campaign is caught the moment it appears, even when it runs on trusted infrastructure.
Does AI email security replace a secure email gateway?
It can. AegisAI connects to Microsoft 365 or Google Workspace by API and runs alongside the platform's native filtering, so many teams deploy it next to an existing gateway first and retire the gateway once they see what it was missing. Gateways match signatures, known-bad URLs, and domain reputation. AegisAI reasons about sender relationship, language, and intent, which is how it stops no-payload phishing and adversary-in-the-middle (AiTM) attacks before users see or click.
Can AI email security stop business email compromise (BEC)?
Yes. BEC carries no link and no attachment, so there is nothing for a signature-based tool to match. AegisAI's agents catch CEO impersonation, invoice fraud, and vendor compromise by analyzing the context and intent of the request, including when the message comes from a hijacked real account with valid authentication. Every detection ships with the reasoning behind it.
How long does AI email security take to deploy on Microsoft 365 or Google Workspace?
Minutes. AegisAI connects through the Microsoft 365 and Google Workspace APIs with a single authorization. There is no MX record change, no mail rerouting, and no agent to install, and it can start in monitoring mode so you see what it would have caught before it takes action.
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