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Illustration for: AegisAI Raises $36M to Fight AI-Driven Spear Phishing
← Value Add PulseFUNDING$36M Series A

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.

$36M Series A
Raised
$49M
Total funding
Battery Ventures
Lead investor
2025
Founded
TC
Trace Cohen
Early-stage VC & angel · Founder, New York Venture Partners
July 23, 2026
1 min read
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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

TC
The VC Read · Trace's TakeTrace Cohen

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.

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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Originally reported by TechCrunch. Analysis and editorial commentary by Value Add Pulse.

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@Trace_Cohen·t@nyvp.com