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ContextFort

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ContextFort monitors AI coding and browser agents at the OS level, giving engineering teams real-time visibility into files, processes, and network activity.

What is ContextFort?

ContextFort is an endpoint visibility product for AI coding and browser agents. The site positions it as a way to detect and track AI agents in real time so engineering teams can see what those agents are doing on developers’ machines.

Its core purpose is to provide independent, OS-level visibility into file access, network activity, and spawned processes. The product is framed as a response to the access that agents like Cursor and Claude Code inherit when they run with a user’s system permissions.

What can ContextFort do?

OS-level telemetry

Monitors from the kernel rather than relying on the agent’s own logs, so activity can be reviewed independently of what the agent reports.

File access telemetry

Captures every file the agent reads or writes, including source code, credentials, SSH keys, and environment files such as `.env`.

Network monitoring

Tracks outbound connections initiated during agent activity so teams can see what data may have been sent and where it went.

Process tree tracking

Records subprocesses and shell activity, giving visibility into commands, installs, and build steps launched by the agent.

Independent audit trail

Maintains an audit trail of agent actions that the product says the agent cannot tamper with after the fact.

Cross-platform endpoint monitoring

Describes platform coverage across Linux, macOS, and Windows using eBPF, Apple’s Endpoint Security Framework, and ETW plus Minifilter.

Use Cases

“Session review for engineering teams”

Review what an AI coding agent accessed during a session, including files opened, commands launched, and network connections made.

“Sensitive file exposure checks”

Investigate whether an agent read sensitive files such as `.env`, SSH keys, or cloud credentials while working on a repository.

“Command and build visibility”

Track subprocesses and shell execution when an agent installs packages, runs builds, or spawns helper processes.

“Network activity investigation”

Correlate outbound network activity with agent behavior to understand what data may have left the machine.

Frequently Asked Questions

Who is ContextFort for?

ContextFort is designed for engineering environments where AI coding or browser agents run with broad system access. It helps teams understand what those agents touched so they can review activity after the fact.

What does ContextFort monitor?

The source describes OS-level monitoring for file access, network activity, and process trees, plus an independent audit trail. It is presented as monitoring from the kernel rather than relying on agent self-reported logs.

Which platforms does it support?

The site references Linux, macOS, and Windows support through eBPF, Endpoint Security Framework, and ETW plus Minifilter, respectively.

Is there pricing or setup information on the site?

The public site does not provide setup steps, pricing details, or integration documentation. It points users to book a demo or view the GitHub repository for more information.

Quick Facts

Category
Endpoint monitoring for AI agents
Primary users
Engineering teams using AI coding agents
Platform support
Linux, macOS, Windows
Monitoring level
Kernel / OS-level telemetry
Source domain
contextfort.ai
Pricing page
Returns a 404 on the public site

ContextFort Traffic Analysis

Traffic data is for reference only.

Domain Rating
12

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