You can't govern what
you can't see
Before you can secure agent identities, orchestrate agent workflows, or monitor agent behavior — you need to know what agents exist, what they're configured to do, and whether those configurations are compliant. That's Preamp.
Every AI agent has a configuration layer — the instructions, skills, MCP server connections, memory, and settings that define what it is and what it can do. This layer is upstream of everything: before an agent accesses data, calls an API, or executes code, it reads its configuration.
Yet most organizations have zero visibility into this layer. No inventory of what agents exist. No policies for what they should look like. No audit trail when configurations change. No way to know if a developer added an MCP server that connects to production data.
Preamp is the governance platform for AI agent configurations — discover, govern, and prove compliance across every AI coding tool in your organization.
Build a complete inventory of your AI agent estate.
Enforce policies across every agent configuration.
Audit-ready evidence for every compliance framework.
How does Preamp compare?
| Capability | Preamp | Git + Dotfiles | Runtime Monitoring | No Solution |
|---|---|---|---|---|
| Agent inventory & auto-discovery | × | × | × | |
| MCP server visibility | × | Partial | × | |
| Configuration backup & restore | Partial | × | × | |
| Security scanning (secrets, injection) | × | Partial | × | |
| Policy enforcement | × | × | × | |
| Compliance dashboard & audit trail | × | Partial | × | |
| Cross-machine sync with path remapping | × | × | × | |
| Team templates & standardization | × | × | × | |
| Setup time | 60 sec | hours | weeks | — |
| Time to org-wide inventory | 1 hour | days | weeks | never |
| Infrastructure required | none | moderate | heavy | — |