Analysis
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.
“In-Q-Tel's participation signals that the national-security community sees the same threat and wants domestic capability.”
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.
