Beam · Use cases
Who Beam is built for
Two teams end up owning AI agent risk in practice — security, who needs detection and evidence, and IT, who owns the rollout. Beam is built to serve both from the same activity record.
Every use case
Platform & security engineeringBeam for security teamsYour engineers use AI everywhere and no single system knows what it did. Beam normalizes the AI sources you instrument into one local record, flags risky actions with evidence, and scans skills and MCP configs before they are trusted.Read more →
IT & endpoint managementBeam for IT teamsYour people have AI on their laptops. Beam gives you a per-machine record of what that AI did — commands, file changes, tool and MCP calls, endpoints — stored locally and readable when someone asks.Read more →
Financial servicesBeam for financial servicesYour engineers run AI agents against ledger logic, payment flows and account data, and an auditor will eventually ask what those agents actually did. Beam records the activity locally and gives you an evidence trail to hand over, without asserting a compliance certification it hasn't earned.Read more →
HealthcareBeam for healthcareAI coding agents touch clinical systems, patient-facing tools and the infrastructure around PHI — often with more access than the team realizes. Beam records what an agent actually did on the machine that ran it, so a security review isn't reconstructed from memory after the fact.Read more →
Public sectorBeam for public sectorPublic-sector teams adopting AI coding agents need a record of what those agents did that doesn't depend on trusting a vendor's cloud. Beam runs locally, keeps its record on the machine, and can be self-hosted end to end — including the fleet dashboard.Read more →
Startups & small teamsBeam for startupsYour whole team ships with Claude Code, Cursor or another agent, and nobody has time to build a monitoring stack. Beam is one hook plus a local service — a real activity record in minutes, not a security project.Read more →