AegisAI Raises $36 Million to Fight AI-Generated Phishing Emails

A startup built by former Google security engineers says criminals now use artificial intelligence to craft personalised fake emails at scale. Its answer is an AI system that reads those emails back.

ThreatVectr NewsdeskAI-assistedPublished Updated · Editor: Lee Brown· 3 min read
Modern startup office environment with security professionals at workstations, AI model training visualizations displayed on screens, phishing email samples bei
Illustration made with AI. Not a photograph of the events described.
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Key points

  • AegisAI closed a $36 million Series A round on Thursday, bringing total funding to $49 million.
  • Battery Ventures led the round, with Accel and Foundation Capital participating.
  • The San Francisco startup was founded in 2025 by two former Google security engineers who helped build reCAPTCHA and Safe Browsing.
  • AegisAI's software connects to Microsoft 365 and Google Workspace to screen incoming email for phishing and fraud attempts.
  • The company plans to use the money to expand its AI detection tools and push its Vanguard investigation agent into general release.

AegisAI, an email security startup founded in 2025, has raised $36 million in a Series A round led by Battery Ventures, with Accel and Foundation Capital also putting money in. The raise brings total funding to $49 million since the company came out of stealth in September 2025.

Co-founders Cy Khormaee and Ryan Luo both worked on Google's security team, where they helped build reCAPTCHA (the "I'm not a robot" check used across the web), Safe Browsing (the warning Google shows when you visit a dangerous site) and Web Risk (a similar tool for businesses). That background shapes what they are building now.

What problem is AegisAI trying to solve?

The company's core concern is AI-generated spear phishing: targeted fake emails where criminals use artificial intelligence to research a specific person, study their professional contacts, and write a convincing lure addressed directly to them. AI tools have made that kind of personalised attack fast and cheap, where it once took significant effort.

Traditional email filters match messages against lists of known-bad senders or suspicious phrases. AegisAI's platform takes a different approach: a network of AI agents reads each incoming message and tries to assess the intent behind it and whether the apparent sender is who they claim to be, rather than checking it against a rulebook.

The software connects to Microsoft 365 and Google Workspace through an API (a programming link that lets two software systems talk to each other) with no changes required to how a business routes its email. In March, AegisAI launched Vanguard, a companion tool that opens suspicious links and attachments the way a human recipient would, then produces a written threat report within minutes.

What does this mean for ordinary email users?

Most people will never interact with AegisAI directly. It sits in the background of a company's email system. The threat it targets, though, is real: a fake email that uses your boss's name, references a real project you're working on, and asks you to approve a payment or hand over a password. We covered a similar intent-based approach two days ago when StrongestLayer raised $4.1 million on the same logic that pattern-matching alone no longer cuts it.

"You cannot patch human trust," CEO Khormaee told SecurityWeek. "If your security program still relies on template-based phishing tests and awareness training, you are training your people to spot last year's threat, not a capable agent crafting a novel lure just for them."

The new funding will go toward building out more detection agents, getting Vanguard to general availability and expanding the company's sales operation.

Milestone Detail
Founded 2025
Emerged from stealth September 2025
Vanguard agent launched March 2026
Series A close Thursday (current week)
Series A size $36 million
Total funding to date $49 million

Should you worry?

If your employer uses Microsoft 365 or Google Workspace, ask your IT team whether your email system can flag messages that impersonate colleagues or senior staff. That one check catches a large share of business email fraud before it reaches your inbox. The pitch from companies like AegisAI is compelling, but the proof will be in detection rates once the product hits general availability, not in funding announcements.

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