The cybersecurity industry is witnessing another major funding milestone as San Francisco-based startup Ent announced a $100 million seed funding round aimed at transforming how enterprises defend against modern cyber threats. The round was led by Decibel Venture Capital and included participation from prominent investors such as Sequoia Capital, Crosspoint Capital Partners, Craft Ventures, Shield Capital, Felicis, and In-Q-Tel.
The investment reflects growing market demand for AI-native cybersecurity solutions capable of addressing increasingly sophisticated attack vectors. As enterprises accelerate the deployment of generative AI tools, autonomous agents, and digital workflows, security teams face mounting challenges in protecting sensitive data and preventing unauthorized access.
Founded in 2025 by former Microsoft executive Lou Manousos and cybersecurity leader Brandon Dixon, Ent has developed an intent-aware endpoint security platform designed to monitor user and AI-agent behavior in real time. Unlike traditional security solutions that primarily focus on detecting threats after they occur, Ent aims to stop malicious actions before damage happens.
According to the company, its platform operates through lightweight endpoint agents deployed across desktops, laptops, and enterprise devices. These agents continuously analyze behavioral signals, application activity, file access patterns, and user interactions to determine intent and identify risky actions before they escalate into security incidents.
Shift from Detection to Prevention
The cybersecurity market industry has traditionally relied on detection and response strategies, where organizations identify threats and react after suspicious activity is discovered. However, the rise of AI-powered attacks and rapidly evolving vulnerabilities is exposing the limitations of this model.
Ent's approach focuses on prevention-first security. By understanding what users or AI systems are attempting to accomplish, the platform can intervene instantly when behavior deviates from expected patterns. This proactive model is designed to reduce insider threats, accidental data leaks, credential misuse, and unauthorized AI-agent activities.
Industry analysts note that insider threats remain among the most difficult security risks for enterprises to manage. As organizations embrace AI-powered productivity tools, concerns surrounding sensitive data exposure and uncontrolled AI-agent actions continue to grow.
Rising Investor Confidence in AI Cybersecurity
The funding comes amid a broader surge in cybersecurity investment. Venture capital firms are increasingly backing startups that combine artificial intelligence with security automation, threat prevention, and risk management.
Recent market activity indicates strong investor appetite for AI-driven cybersecurity companies, particularly those focused on securing enterprise AI deployments and protecting digital workspaces. Market observers point to the rapid growth of AI-generated threats, automated attack campaigns, and expanding digital infrastructures as key drivers behind the investment boom.
Cybersecurity startups collectively attracted billions of dollars in funding during the past year, with AI-focused security vendors accounting for a significant share of early-stage investments. Investors view proactive cybersecurity platforms as critical infrastructure for the next generation of enterprise technology environments.
Enterprise Adoption Signals Market Opportunity
Ent reports that organizations across financial services, hospitality, and defense sectors have already deployed its platform to strengthen endpoint security and safely integrate AI-powered workflows. The company plans to use the new capital to accelerate product development, expand engineering capabilities, and grow its workforce.
The startup's emergence underscores a broader shift occurring within enterprise cybersecurity. As businesses adopt AI agents to improve productivity and automate operations, security leaders are prioritizing solutions that can monitor user intent, prevent unauthorized actions, and provide real-time protection against evolving threats.
With AI reshaping both offensive and defensive cybersecurity strategies, Ent's funding round highlights the increasing importance of prevention-focused security architectures capable of securing the modern digital workplace.
Ent has secured $100 million in seed funding to advance its AI-powered endpoint security platform. The company uses intent-aware behavioral monitoring to prevent insider threats, data leaks, and AI-driven cyberattacks before they occur. The funding reflects growing enterprise demand for proactive cybersecurity solutions as organizations deploy AI agents and autonomous workflows across business operations.
News source: https://www.wsj.com/pro/cybersecurity/cyber-startup-ent-raises-100-million-in-seed-funding-a3e9b6c6