Ent Raises $100M Seed to Defend Against AI-Enabled Cyberattacks

Cybersecurity startup Ent raised a $100M seed -- enormous for the stage -- from Sequoia, Craft, Felicis, Crosspoint, Shield Capital and In-Q-Tel. The thesis: as attackers weaponize AI, defense has to be AI-native from day one, and that requires frontier-scale capital before product-market fit.

$100M
Raised
Seed
Stage
Sequoia, Craft, In-Q-Tel
Backers
TC
Trace Cohen
Early-stage VC & angel ยท Founder, New York Venture Partners
June 16, 2026
1 min read
KEY TAKEAWAYS FOR VCs & FOUNDERS
1

A $100M seed signals investors believe AI-vs-AI security is a land-grab that can't be funded incrementally

2

In-Q-Tel's presence flags national-security demand for AI-native cyber defense

TC
The VC Read ยท Trace's TakeTrace Cohen

A $100M seed is absurd until you accept the premise: in AI-vs-AI security, you're behind the moment you start, because the attacker is already automated. You can't bootstrap your way to parity against machine-speed adversaries. In-Q-Tel in the syndicate tells you the government agrees. I'm wary of stage-inappropriate rounds in general, but this is the rare case where the threat genuinely doesn't wait for product-market fit.

Ent, a San Francisco cybersecurity startup, raised a $100 million seed round -- an extraordinary sum for the stage -- from a syndicate including Sequoia Capital, Craft Ventures, Felicis, Crosspoint Capital, Shield Capital, Decibel, and In-Q-Tel. The company is building AI-native defenses against the new generation of AI-enabled cyberattacks, where attackers use models to find vulnerabilities, generate exploits, and scale phishing and social engineering faster than human defenders can respond.

The round size is the story. A $100 million seed is a statement that investors view AI-versus-AI security as a land-grab too capital-intensive to fund incrementally -- you need frontier-scale compute and talent before you have a product, because the adversary is already operating at machine speed. In-Q-Tel's participation signals that the national-security community sees the same threat and wants domestic capability.

โ€œFor the security ecosystem, Ent is the clearest sign that the AI threat landscape has flipped from theoretical to operational.โ€

For the security ecosystem, Ent is the clearest sign that the AI threat landscape has flipped from theoretical to operational. SoftBank this week launched an OpenAI-powered 'patching as a service' tool in Japan for the same reason. When attackers automate, defense has to automate faster, and the capital is flowing to whoever can build AI-native defense from the ground up rather than bolting AI onto legacy tools.

Originally reported by Tech Startups. Analysis and editorial commentary by Value Add Pulse.

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