Agentbeam
Beam vs SENTINELONE

Beam vs Singularity with Prompt Security

SentinelOne added AI monitoring to its Singularity platform through the 2025 acquisition of Prompt Security, covering browser, desktop and API AI use with central management and enforcement. Beam is a local prototype focused on coding agents, with no console and no enforcement.

Beam vs Singularity with Prompt Security, side by side

Details below are drawn from a September 2026 review of the AI agent security market. Some figures are vendor-sourced or analyst estimates, and this is a fast-moving space — check with each vendor before you buy.

Feature comparison between Beam and Singularity with Prompt Security (SentinelOne)
 BeamSingularity with Prompt Security (SentinelOne)
What it isLocal-first activity monitor and pre-run scanner for AI coding agents. Early prototype.Enterprise endpoint security platform extended with AI monitoring through the Prompt Security acquisition.
MonitoringShell commands, file changes, tool calls, network endpoints and browser actions from harnesses such as Claude Code, Codex and Cursor, normalised into local NDJSON with risk flags and evidence attached.AI activity across browser, desktop and API surfaces, via Prompt Security.
Skill / MCP scanningYes. SKILL.md files and MCP configurations are scanned before you run them, using 11 heuristic patterns plus an MCP version-pin check.Not specifically covered in our source research.
Blocking / enforcementNo. Beam observes and flags. It never allows or denies an action.Enforcement is part of the wider Singularity platform.
Individual useRuns locally for one person on one machine. Shared teams, fleet rollout and approvals are not built yet.None. Enterprise platform sale.
DeploymentA local collector plus a local interface. No MDM package, no central console, no SSO, no SOC 2, no SIEM forwarding.Enterprise deployment within SentinelOne's Singularity platform.
Source / licenceNot open source today.Commercial, not open source.
PricingNot published.Enterprise custom quote, no public price.

Singularity with Prompt Security in numbers

As reported in our source research. Some figures are estimates.

Acquisition
SentinelOne acquired Prompt Security in 2025
Coverage
Browser, desktop and API AI monitoring

Where Singularity with Prompt Security does more

  • AI monitoring sits inside an endpoint security platform organisations already deploy and manage centrally.
  • Covers browser and API AI use, not only local coding agents.
  • Enforcement and central management come with the platform.

Where Beam differs

  • Beam is specific to coding agents and their shell, file, tool and network activity.
  • Beam is local-first with no agent to enrol in a central console.
  • Beam adds a pre-run scan of skill files and MCP configurations.

Beam’s current gaps

  • Beam observes and flags. It has no blocking or enforcement, so it cannot stop a destructive command.
  • There is no MDM package, central console, SSO or SOC 2 report, so it is not ready for a managed fleet rollout.
  • Scanning is heuristic pattern matching. It produces false positives, misses novel phrasing, and is not a guarantee of safety.
  • Beam is early and has no published pricing. Every tool on this page is further along in at least one dimension.

Which one fits

If SentinelOne already manages your endpoints, adding AI monitoring there is the path of least resistance and gives you enforcement Beam cannot. Beam is for looking closely at coding-agent activity on a single machine.

FAQ

How did SentinelOne get into AI monitoring?

It acquired Prompt Security in 2025, which brought browser, desktop and API AI monitoring into the Singularity platform.

Does it cover coding agents specifically?

Our source research describes browser, desktop and API AI monitoring rather than coding-agent specifics. Beam's focus is coding agents and their shell, file and tool activity.

What does Beam not do here?

Beam has no central console, no SSO, no SOC 2 and no enforcement. It observes and flags on one machine.

See how Beam works

Beam is an early, local-first prototype. Read what it actually does today before comparing it further.