The Problem
AI applications have unique security and cost risks that traditional monitoring tools don't cover:
- Prompt injection — malicious inputs that hijack your AI's behavior
- Secret leakage — API keys and credentials exposed in prompts or responses
- Cost explosions — a single runaway loop can burn through your monthly budget in hours
- Header vulnerabilities — misconfigured security headers on AI-facing endpoints
What Watchtower Does
Security Scanning
- Scans for hardcoded secrets and API keys
- Audits HTTP security headers
- Checks Supabase RLS policies
- Reviews git history for accidentally committed credentials
Cost Monitoring
- Tracks spending across AI providers (Anthropic, OpenAI, etc.)
- Sets budget alerts and hard limits
- Logs token usage per request with request IDs
- Generates spending reports by time period
Integration
Watchtower runs as an MCP server, integrating directly into your development workflow. No separate dashboard to check — the alerts come to you.