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Tracked since2026
The Bottom Line
- Price
- Free, no paid tier. Compare plans
Key facts
- Detects 37+ AI tools and 33+ provider domains, showing live network activity, permissions, and token usage.
- Read-only and local: no cloud, no account, never sees prompts or file contents.
- Open source (PHP + SQLite) with cross-platform support for macOS, Linux, and Windows.
Pros
- Fully local and read-only: no data leaves your machine, no cloud, no account required.
- Open source with no build steps or database server needed, just PHP and SQLite.
- Covers a wide range of AI tools and provides detailed risk findings with actionable guides.
Cons
- Linux and Windows support is newer and may have limitations (e.g., no per-connection byte counters on Windows, no open-file view).
- Requires PHP 8.1+ with pdo_sqlite, which may not be pre-installed on all systems.
What is SecAIQ Watch?
SecAIQ Watch is a local, read-only monitoring tool that detects AI assistants, coding agents, local models, and MCP servers running on your machine. It provides a dashboard showing live network connections, data transfer, permissions and risk findings, file access, and token usage. The tool is designed to be privacy-preserving: it never blocks traffic, never sees prompts, responses, or file contents, and operates entirely offline without any cloud dependency or account requirement. Built with PHP and SQLite, it runs on macOS, Linux, and Windows, though Linux and Windows support is newer and may have limitations. It is open source and free to use.
Key Features
- Detection of 37+ AI tools including Claude, Codex, Cursor, Windsurf, Copilot, Gemini, Ollama, LM Studio, Aider, and MCP servers.
- Live network monitoring: connections, destinations, bytes sent/received per tool, upload spike and baseline-anomaly alerts.
- Permissions and risk scanning: shows which tools can access sensitive areas (SSH keys, .env, cloud credentials, browser data, keychain) with one-click Protect presets and removal guides.
- Findings ranked critical to low: bypass modes, broad allow rules, MCP servers, hooks, hard-coded secrets, prompt-injection-style instruction files, AI browser extensions, and a posture score (A–F).
- Token usage tracking per day, model, project, and tool (Claude Code, Codex) with cost estimates.
- Exportable reports in HTML, Markdown, AI-BOM (CycloneDX 1.5), CSV, and JSON formats, plus a hash-chained action log with undo.
Pricing Plans
Pricing checked Oct 3, 2026
| Plan | Price | Details |
|---|---|---|
| Open Source | Free |
|
Is SecAIQ Watch worth the price?
Great value
The Open Source tier at $0 is incredibly generous and fair for a local monitoring tool, especially compared to proprietary SaaS alternatives that charge per seat or per event.
However, it lacks any paid tiers with cloud sync or managed support, making it best for technically proficient users who prioritize data privacy over convenience.
Hidden Costs & Gotchas
No managed updates or security patches included; must manually apply.
No integration with external notification systems (PagerDuty, Slack) built-in.
Reviews
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SecAIQ Watch FAQ
How does SecAIQ Watch help a team monitor AI assistant usage on employee machines?
SecAIQ Watch detects AI assistants, coding agents, local models, and MCP servers running on a machine and shows live network connections, data transfer, permissions, risk findings, file access, and token usage. It operates entirely offline without any cloud dependency or account requirement, so no data leaves the machine. This allows teams to audit AI activity while preserving privacy, as it never blocks traffic or sees prompts, responses, or file contents.
How does SecAIQ Watch compare to Falco for monitoring AI activity?
Unlike Falco, which is a general-purpose runtime security tool that can block or alert on system calls, SecAIQ Watch is a read-only monitoring tool specifically designed for AI assistants, coding agents, local models, and MCP servers. SecAIQ Watch never blocks traffic and operates fully offline with no cloud dependency, making it more privacy-preserving for AI-specific monitoring.
What are the main limitations of SecAIQ Watch on Windows or Linux?
Linux and Windows support is newer and may have limitations, such as no per-connection byte counters on Windows and no open-file view. Additionally, SecAIQ Watch requires PHP 8.1+ with pdo_sqlite, which may not be pre-installed on all systems.
Which teams benefit most from using SecAIQ Watch?
Teams that need to audit local AI activity without sending data to the cloud, such as security teams in privacy-sensitive industries or development teams using AI coding agents, benefit most from SecAIQ Watch. Its read-only design ensures no prompts, responses, or file contents are seen, making it suitable for environments where data confidentiality is critical.
How is SecAIQ Watch priced?
SecAIQ Watch is free to use with no paid plan required. It is open source and requires only PHP and SQLite to run, with no build steps or database server needed.
Can SecAIQ Watch monitor MCP servers and local AI models?
Yes, SecAIQ Watch detects MCP servers and local models running on your machine, along with AI assistants and coding agents. It provides a dashboard showing live network connections, data transfer, permissions, risk findings, file access, and token usage for these tools.
Does SecAIQ Watch require an internet connection or cloud account to function?
No, SecAIQ Watch operates entirely offline without any cloud dependency or account requirement. It never sends data off the machine and never blocks traffic, ensuring complete privacy.
Why would a user choose SecAIQ Watch over a general network monitoring tool?
SecAIQ Watch is purpose-built for monitoring AI assistants, coding agents, local models, and MCP servers, providing detailed risk findings and actionable guides specific to AI activity. General network monitoring tools like Kentik Network or Darktrace lack this AI-focused context and may not offer the same privacy guarantees, as SecAIQ Watch never sees prompts, responses, or file contents.
Source: github.com