AegisAI Raises $36M to Fight AI-Driven Spear Phishing

AegisAI, founded by former Google security executives, raised a $36 million Series A led by Battery Ventures to defend against AI-generated phishing attacks that personalize themselves at scale.

By the Numbers

$36M Series A
Raised
$49M
Total funding
Battery Ventures
Lead investor
2025
Founded
Trace Cohen
By Trace Cohen · Value Add Pulse Funding Desk
Founder & Editor-in-chief, Value Add VC
1 min read
AegisAI Raises $36M to Fight AI-Driven Spear Phishing: key figures
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THE RUNDOWN

1

AegisAI raised a $36 million Series A led by Battery Ventures, with returning investors Accel and Foundation Capital participating, bringing the San Francisco company's total funding to $49 million less than a year after emerging from stealth

2

The company was founded by Khormaee and Ryan Luo, both veterans of Google's core security group who helped build reCAPTCHA, Safe Browsing and Web Risk -- giving it unusually deep pedigree in consumer-scale threat detection for a young startup

3

AegisAI builds proprietary LLMs to detect "AI spear phishing" -- highly personalized, AI-generated phishing attacks that adapt their content per target -- and its "Vanguard" agent hunts threats beyond the inbox rather than relying on traditional signature-based email filtering

4

The round lands the same week Glow raised $180 million at a $1.2 billion valuation for AI-agent endpoint security, part of a broader capital wave into security categories purpose-built for AI-native threats rather than retrofitted legacy tools

The VC Read

Value Add VC analysis

Two Google security veterans raising on the specific problem of AI attacking humans with personalized phishing, in the same week Glow raised $180M on AI agents attacking infrastructure, tells you the security market has split cleanly into "AI as attacker" and "AI as attack surface" -- and smart money is now writing checks into both sides at once. The real question for AegisAI is whether Vanguard stays a differentiated point solution or gets absorbed into a broader platform play like Glow's before it has time to build category-defining distribution.

Analysis

AegisAI, a cybersecurity startup building defenses against AI-generated phishing attacks, raised a $36 million Series A led by Battery Ventures on July 23, with returning investors Accel and Foundation Capital also participating. The round brings AegisAI's total funding to $49 million, less than a year after the company emerged from stealth.

The founding team's pedigree is a big part of the story: CEO Khormaee and co-founder Ryan Luo are both veterans of Google's core security organization, where they helped build reCAPTCHA, Safe Browsing and Web Risk -- three of the most widely deployed consumer-scale threat-detection systems in the industry. That background gives AegisAI credibility on a genuinely hard technical problem most younger security startups haven't tackled at the same scale.

“That background gives AegisAI credibility on a genuinely hard technical problem most younger security startups haven't tackled at the same scale.”

AegisAI's core product uses proprietary large language models to detect "AI spear phishing" -- phishing attacks that use generative AI to personalize their content per target, making them far harder to catch with traditional signature- or pattern-based email filters. Its "Vanguard" agent extends detection beyond the inbox, hunting for AI-generated social-engineering attempts across other communication channels rather than treating email as the only attack surface.

The round lands in the same week Glow raised $180 million at a $1.2 billion valuation for AI-agent endpoint security, part of a broader wave of capital flowing into security categories purpose-built for AI-native threats -- both offensive and defensive -- rather than incumbents like Proofpoint and Mimecast retrofitting legacy email-security tools.

For security-focused investors, a $49 million total raise for a team with this specific Google-security pedigree, tackling a threat category growing directly alongside generative AI adoption, is a relatively low-risk, high-conviction bet. The risk is competitive: well-capitalized incumbents and Glow's broader AI-security platform could move into AegisAI's specific niche faster than a Series A-stage company can defend it.

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Key Sources

1 source

Reported by TechCrunch · Analysis by Value Add Pulse.

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