Unbound

Unbound solves a genuinely new problem: AI coding agents that inherit full developer credentials and can execute arbitrary terminal commands, read secrets, and connect to internal APIs via MCP. Existing CASBs, EDR, and AI gateways were built for humans or model traffic — they miss the agent layer entirely. Unbound fills that gap with a focused discovery-to-enforcement pipeline. We'd reach for this when you have 50+ developers using Cursor, Claude Code, Windsurf, or GitHub Copilot and your security team needs to know what those agents can actually do. The free tier is generous — a full agent inventory in minutes — making it easy to start without a sales call. The Policy Engine is the real differentiator: you can block dangerous commands like rm -rf or curl-to-bash, require approval for sensitive MCP actions, and audit everything. Where it bites: the Pro tier's 5,000 tool use evaluations per user per month can be tight for power users, and after that it defaults to Audit-only. Enterprise pricing at $18/user/month is steep for smaller teams. Unbound only works if you already use AI coding agents — no agents, no value. And while it integrates with Splunk and Datadog, it doesn't yet cover every possible agent (still missing some niche ones). Compared to a generic AI gateway like Portkey or Helicone, Unbound operates at the endpoint, not the API call. Those tools secure model traffic; Unbound secures agent runtime behavior. They complement rather than compete. For security teams in regulated industries, Unbound offers a control layer that auditors are starting to ask about. Bottom line: if you're managing an engineering org where developers run autonomous coding agents, Unbound is the first tool to look at. Start with the free scan, upgrade to Pro for enforcement, and go