How Beam compares
Beam is a local-first activity monitor, policy layer, and pre-run scanner for AI coding agents. Owners and admins set observe, advisory, or enforce policy; Sentinel can pause or block high-risk browser AI sends. Several tools below still do more at another layer — kernel sandboxes, SIEM export, SOC 2 — and this page says so plainly rather than around it.
Grouped by category below. Every comparison page states Beam’s current limits — hook coverage, fail-open cached policy, heuristic scanning, no SOC 2, no default SIEM — and links its source.
Local endpoint agent monitors
Tools that watch what a coding agent does on a developer's own machine — shell commands, file access, tool and MCP calls. This is the layer Beam sits in.
PERPLEXITY
numbat
Free, Apache-2.0 local agent-activity monitor with opt-in blocking
Compare with BeamMINTMCP
Agent Monitor
Enterprise agent monitoring with blocking, MDM rollout and SIEM export
Compare with BeamLEGIT SECURITY
VibeGuard 2.0
Agent security inside an application security platform, with skill discovery
Compare with BeamHARDEN
Harden
Free, local security layer that checks agent tool calls before they run
Compare with BeamEUNOMIA-BPF
AgentSight
Open-source eBPF boundary tracing for agent activity
Compare with Beam
MCP and skill scanners
Scanners that inspect MCP servers and skill files for prompt injection, tool poisoning and credential handling before you run them. A crowded, mostly free niche.
Enterprise AI security platforms
Well-funded platforms covering AI discovery, posture, runtime protection and enforcement across an organisation. Most already do things Beam does not.
PALO ALTO NETWORKS
Prisma AIRS
Full-stack enterprise AI security: discovery, posture, red-teaming and runtime
Compare with BeamSENTINELONE
Singularity with Prompt Security
AI monitoring across browser, desktop and API inside an endpoint security platform
Compare with BeamHIDDENLAYER
HiddenLayer
Model and agent runtime security, freshly funded at $100M Series B
Compare with BeamNOMA SECURITY
Noma Security
AI agent hardening with discovery of models, agents and MCP servers
Compare with BeamZENITY
Zenity
Agent governance for the enterprise, with more than $100M raised
Compare with BeamCHECK POINT
Lakera
Runtime GenAI security, now part of Check Point, known for Gandalf
Compare with BeamF5
CalypsoAI
Enterprise AI security, acquired by F5 in January 2026
Compare with BeamCISCO
AI Defense
Enterprise AI defence plus a free, Apache-2.0 MCP scanner
Compare with Beam
Agent runtimes and hardware enforcement
Sandbox runtimes and out-of-band hardware monitors that isolate an agent from the host and enforce policy the agent cannot rewrite. This is the layer NVIDIA OpenShell and BlueField-4 sit in — different from Beam's laptop hooks, workspace policy, and Sentinel browser checks.
LLM and agent observability
Tracing, evaluation and token-spend platforms for production AI applications. They overlap Beam only on agent-step and spend visibility.
LANGFUSE
Langfuse
Open-source LLM observability and tracing for production AI apps
Compare with BeamLANGCHAIN
LangSmith
Per-seat tracing and evaluation for LLM applications
Compare with BeamARIZE AI
Arize
Open-source Phoenix plus a commercial AX tier for LLM observability
Compare with BeamDATADOG
LLM Observability
Agent and LLM tracing inside the monitoring platform many teams already run
Compare with Beam
Agent tool and integration platforms
Platforms that give agents managed access to SaaS apps and tools, including authentication and MCP endpoints. They govern what an agent can call; Beam watches what a coding agent does on the machine.
Missing a comparison?
This page covers the 20 tools closest to Beam’s category, based on a September 2026 review of the AI agent security market. If you don’t see the tool you’re evaluating against, treat that as a gap in our research, not a claim about that tool.