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Traceforce

Device-layer AI security that maps and controls what Claude, ChatGPT, Copilot, and coding agents actually do

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freemiumDR 26Free trial $0 for up to 10 devices for 30 days with no credit card: risk assessment across 900+ AI apps and MCPs, sensitive-data leakage detection in Claude/ChatGPT/Copilot, dangerous-action detection for Claude Code/Cursor/Codex, and API access to all telemetry. Pro is priced per device, billed monthly or yearly, adding runtime control over Claude Cowork and ChatGPT desktop, connector admin controls, an MCP registry with a security approval process, and unlimited devices — the per-device rate is not published. Enterprise is custom with SSO, multi-tenant support, and onboarding services.View full pricing →

Visit Traceforce

https://www.traceforce.ai

About Traceforce

Traceforce is an AI security and control platform that operates at the device layer rather than on the network. The observation behind it is that AI usage has moved out of the browser — Claude, ChatGPT desktop, Copilot, Cursor, and Codex all run as native applications or CLI tools, and a security stack that inspects browser traffic simply cannot see what they do. Traceforce runs an agent on the device, which is where it can watch actions as they happen and control them. Capabilities include risk assessment across 900+ AI apps and MCP servers, sensitive-data leakage detection in Claude, ChatGPT, and Copilot, and detection of dangerous actions taken by coding agents including Claude Code, Cursor, and Codex — the category of thing where an agent decides to delete a directory or push a secret and nobody finds out until later. All telemetry is reachable through an API rather than being locked in a dashboard. The paid tier adds runtime control over Claude Cowork and ChatGPT desktop, admin controls for connectors, and an MCP registry with a security approval process, which is the piece that turns shadow-MCP sprawl into something reviewable. The company also publishes an open-source MCP scanner. Pricing is per device, and the free trial covers 10 devices for 30 days with no card.

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Key Features

On-device agent that sees desktop and CLI AI tools, not just browser traffic
Risk assessment across 900+ AI applications and MCP servers
Sensitive-data leakage detection in Claude, ChatGPT, and Copilot
Dangerous-action detection for Claude Code, Cursor, and Codex
MCP registry with a security approval workflow
Full telemetry API access plus an open-source MCP scanner

Traceforce Pros & Cons

Pros

  • +Device-layer coverage catches desktop and CLI agents that network tools miss
  • +MCP approval registry addresses shadow-MCP sprawl directly
  • +Free trial covers 10 devices with full telemetry API access

⚠️ Cons

  • The Pro per-device rate isn't published, so budgeting requires a sales call
  • Endpoint agents need deployment and management on every machine
  • Employees may read device-level monitoring as surveillance

Who Is Traceforce Best For?

👤Security teams whose developers run Claude Code, Cursor, or Codex locally
👤Regulated companies needing an approval process before an MCP server is used
👤Organizations that need evidence of what AI tools actually accessed

Tags

ai securitydlpmcp securityendpointcoding agentsgovernance
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