Layerwatch

Application Monitoring & Observability

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Layerwatch provides extensive monitoring and visibility into the activities of artificial intelligence agents interacting with local and remote systems by tracking file access, command execution, and API calls in real time. Its main features include silent detection of sensitive data such as environment variables and credentials, an audit trail for security and compliance, control over third-party tool interactions, and a session replay timeline for troubleshooting and analysis, making it ideal for developers, security teams, and organizations concerned with AI security, data privacy, and operational transparency.

Layerwatch can be found in Application Monitoring & Observability categories.

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Layerwatch Main Features

• MCP proxy
  It intercepts every tool your AI uses, letting you log, inspect, or block actions based on rules.
• Early Access
  You can join the waitlist to get early access when the product launches, with no spam or credit card needed.
• No audit trail
  There is no record of what your AI did or accessed during each session.
• Team dashboard
  You can see what your team’s AI agents are doing, set policies, get alerts, and export reports.
• Secret detection
  The system scans for API keys, tokens, and credentials before your AI output is sent out.
• Session timeline
  You can see all files read, commands run, and API calls in order, and replay them if needed.
• Layerwatch control
  Layerwatch sits between your AI and everything it touches, giving you control and a way to see what happens.
• Silent file access
  Your AI can read important files like .env and SSH keys without telling you.
• Unvetted MCP servers
  Third-party MCP tools can send data to places you haven't checked or approved.
• Layerwatch visibility
  Layerwatch shows you what your AI reads, executes, and touches in real time on your machine.

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