Ent
by Ent
Intent-aware endpoint security that reads human and AI-agent behavior before risky actions execute
Ent is an intent-aware endpoint security platform that runs real-time AI reasoning on the endpoint to interpret user and AI-agent behavior and intervene before risky actions are carried out. It is aimed at enterprise security teams defending against both insider mistakes and AI-powered attacks.
Ent emerged from stealth on June 16, 2026 with a $100 million seed round to build a new layer of enterprise endpoint security focused on intent. Instead of matching known-bad signatures after the fact, Ent deploys a lightweight software agent that brings real-time AI reasoning directly to the endpoint device, evaluating the behavioral patterns of both human users and autonomous AI agents at the moment of operation and automatically intervening before risky actions are finalized. It enforces custom corporate policy and is designed to complement, not replace, an existing security stack, integrating with EDR, SIEM, SOAR, and IAM tooling. The company frames the problem as one of speed—CEO Elias Manousos said 'What once took days now happens in seconds. By the time traditional security systems detect a problem, it is too late.' Co-founded by Elias Manousos (CEO) and Brandon Dixon and headquartered in San Francisco, Ent raised its round led by Decibel with participation from Sequoia, Crosspoint Capital, Craft Ventures, Shield Capital, Felicis, and In-Q-Tel.
At a Glance
- Category
- Governance & Security
- Pricing
- Contact for pricing
- Target Market
- CISOs, CIOs, Security Operations Teams, Enterprise IT
- Headquarters
- San Francisco, USA
Key Features
- ✓On-device AI reasoning
A lightweight agent brings real-time AI reasoning directly to the endpoint to evaluate behavior as it happens.
- ✓Intent-aware analysis
Interprets the behavioral patterns of both human users and autonomous AI agents before risky actions are carried out.
- ✓Automated intervention
Blocks or intervenes on risky operations in real time, before an incident occurs.
- ✓Custom policy enforcement
Applies organization-specific corporate policies to endpoint behavior.
- ✓Security-stack integration
Works alongside existing EDR, SIEM, SOAR, and IAM tools rather than replacing them.
Capabilities
Use Cases
- •Pre-incident intervention
Catch and stop risky user or agent actions in seconds, before traditional tools would even detect them.
- •AI-agent oversight
Monitor and govern the behavior of autonomous AI agents operating on corporate endpoints.
- •Insider-risk reduction
Interpret intent behind human endpoint activity to reduce accidental or malicious insider actions.
Ideal For
Best For
- ✓Stopping risky endpoint actions before they finalize
- ✓Governing autonomous AI-agent behavior on endpoints
- ✓Adding intent-aware analysis on top of existing EDR/SIEM stacks
Market Analysis
Pros
- ✓Very large seed round with top-tier investors
- ✓Addresses AI-agent risk, an emerging enterprise gap
- ✓Complements rather than rips out existing tooling
Cons
- ✗Newly out of stealth with limited public product detail
- ✗Unproven at scale; no published customer list or pricing
Pricing
Enterprise
Contact for pricing
- ✓On-device AI reasoning
- ✓Intent-aware policy enforcement
- ✓EDR/SIEM/SOAR/IAM integrations
Pricing is not publicly disclosed; Ent launched from stealth in June 2026.
Sources
This page was written from 2 sources, 1 on domains other than ent.ai.
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