Beacon vs Fabraix Red Team Playground

Beacon and Fabraix Red Team Playground are both inference engines & infra tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Beacon

Beacon is an open-source endpoint telemetry layer that runs locally alongside AI agents, capturing prompts, tool calls, file modifications, and approval workflows before any of that activity disappears into the void. It normalizes that telemetry and forwards it to SIEM platforms like Wazuh, Elastic, or Splunk, so security teams can apply the same detection logic they already run against the rest of the fleet. The architecture is self-hosted by design — no data leaves the endpoint unless you route it there yourself. The project is early-stage; the plugin ecosystem covers the major local agent harnesses but gaps exist for less common runtimes. Teams with agents not yet on the supported list write custom collector plugins — which means more surface area to maintain.

Fabraix Red Team Playground

Fabraix Red Team Playground is an open-source, MIT-licensed testing environment structured around CTF-style challenges that let you probe published agent prompts for prompt injection vulnerabilities and guardrail failures. The workflow is concrete: challenges present a live agent prompt, you craft adversarial inputs, and the platform scores whether your attack broke containment. Self-hosting via npm means your proprietary prompts never leave your environment, which matters when the thing you are testing is a production system prompt you cannot share publicly. The challenge library is community-contributed and public, so coverage depends entirely on what the research community has submitted — niche agent architectures with specialized guardrail logic will find thin coverage fast.

Attribute	Beacon	Fabraix Red Team Playground
Pricing	Free	Free
Free trial	No	No
Open source	Yes	Yes
Has API	No	Yes
Self-hosted option	Yes	Yes
Platforms	Linux, macOS, Windows	Web, npm
Released	—	2026
Pros	Runs entirely on the local endpoint with no external data forwarding required, so organizations in regulated industries can capture AI agent telemetry without breaching data residency requirements. Normalizes agent activity into structured telemetry compatible with Wazuh, Elastic, and Splunk, so security teams can write detection rules against AI agent behavior using the same tooling they already maintain for the rest of the infrastructure. Captures the full activity chain — prompts, tool calls, file edits, approval workflows — which means audit trails hold up when a compliance team asks exactly what an agent touched and when, rather than reconstructing context after the fact. MIT-licensed and free with no paid tier, so there is no licensing negotiation before a regulated-industry proof of concept, and the full source is auditable by the security team before deployment. Structured for MDM-managed deployments, so enterprise IT teams can push Beacon alongside agent runtimes through existing device management pipelines rather than requiring manual per-machine setup.	CTF-style challenge structure turns prompt injection testing into a repeatable, scored exercise rather than ad-hoc red-teaming, so you get consistent coverage across team members with different skill levels. MIT license with self-hosted npm deployment means your production system prompts stay on your infrastructure — no third-party exposure risk when testing prompts you cannot share publicly. Community-contributed challenge corpus means attack surfaces reflect real deployed agent configurations, not synthetic examples, so you are practicing against the injection patterns practitioners have actually encountered. API access allows scripted test runs, so red-team checks can be added to a CI pipeline rather than living as a manual step that gets skipped before a Friday deploy. Free and open-source with no paid-only feature gates, so a security researcher or small team gets the full capability without budget approval blocking initial evaluation.
Cons	Plugin coverage is scoped to the major local agent harnesses the project explicitly supports; agents running on runtimes outside that list produce no telemetry until a custom collector plugin is written and maintained — which delays security coverage for any team adopting a newer or less common agent framework. There is no hosted dashboard or managed backend, which means the security team owns the full stack: endpoint deployment, SIEM routing, schema mapping, and alert logic. Teams without an operational SIEM who want a turnkey monitoring UI will abandon Beacon for a hosted observability product before the first sprint ends. The project carries a small contributor base at the time of publication; teams depending on active maintenance for fast-moving agent runtimes accept the risk that plugin support lags runtime updates, requiring internal engineering to bridge the gap or switch to a vendor with a dedicated support contract.	The challenge library covers what the community has published — teams with agents built on niche retrieval architectures or specialized guardrail logic will exhaust relevant challenges fast and face building their own, which requires contributing attack surface details back to a public repository; teams unwilling to do that switch to a private adversarial testing service where they control the entire corpus. Scoring is bounded by the challenge definitions already in the system: if your guardrail bypasses a listed challenge but your actual threat model involves a different injection vector, the platform returns a pass that tells you nothing — teams running security audits against compliance requirements find this gap immediately and supplement with manual red-team engagements. The scraped page content and validator context confirm no details about challenge update cadence or maintainer response time for newly discovered injection patterns; teams that need their testing corpus to track emerging attack techniques in near-real-time cannot confirm that commitment from available documentation.

Bottom line

Only Fabraix Red Team Playground exposes a public API; Beacon runs on Linux, macOS, Windows; Fabraix Red Team Playground on Web, npm. Pick the difference that actually blocks you.

Frequently asked questions

What is the difference between Beacon and Fabraix Red Team Playground?

Beacon is Free and open source, while Fabraix Red Team Playground is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Beacon better than Fabraix Red Team Playground?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.