Sequoia Capital has joined a major funding round for Ent, a cybersecurity startup emerging from stealth with a $100 million seed round designed to prevent insider threats and AI-driven cyberattacks before they happen. The investment reflects growing enterprise demand for proactive security solutions as organizations deploy artificial intelligence (AI) agents and autonomous workflows across business operations.

Why Are Venture Capitalists Betting Big on AI-Powered Endpoint Security?

The funding 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. This diverse investor group signals broad confidence in the market opportunity. The investment comes as enterprises accelerate the deployment of generative AI tools and autonomous agents, creating new security challenges that traditional cybersecurity approaches struggle to address.

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. The company operates through lightweight endpoint agents deployed across desktops, laptops, and enterprise devices that 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.

How Does Ent's Prevention-First Security Model Work?

The cybersecurity 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 reactive model. Ent's approach focuses on prevention-first security by understanding what users or AI systems are attempting to accomplish and intervening 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, and as organizations embrace AI-powered productivity tools, concerns surrounding sensitive data exposure and uncontrolled AI-agent actions continue to grow.

Steps to Strengthen Enterprise AI Security Posture

• Deploy Intent-Aware Monitoring: Implement endpoint security solutions that analyze behavioral signals and user intent rather than relying solely on signature-based threat detection, enabling organizations to identify risky actions before they escalate.
• Monitor AI-Agent Activities: Establish real-time monitoring of autonomous AI systems and agents operating within enterprise environments to prevent unauthorized access, credential misuse, and uncontrolled data exposure.
• Integrate Security Across Digital Workflows: Ensure security solutions can monitor and protect sensitive data across desktops, laptops, and enterprise devices as organizations increasingly adopt AI-powered productivity tools and autonomous workflows.

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.

What Does This Funding Round Signal About the Broader Cybersecurity Market?

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.

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.