Emilia Protocol vs Northbeams

Emilia Protocol and Northbeams are both guardrails & safety 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.

Emilia Protocol

EMILIA sits as a control layer between an agent's decision and the system of record, blocking any irreversible write until a named human has signed off on the exact action hash from their own device. The protocol's core guarantees — no replay, no self-approval, no bypassing the gate — are machine-checked as TLA+ invariants and Alloy facts on every commit, not asserted in a policy document. Every approved or rejected action produces a Merkle-anchored evidence receipt retrievable at a standard API endpoint, so your auditor gets a signed artifact, not a log you assembled after the fact. The control layer is passive: it does not plan or execute anything itself, which means there is no agentic surface area to compromise.

Northbeams

Northbeams sits between your workforce and their AI tools, classifying what's running, blocking what shouldn't be, and generating the evidence chain your SOC 2 or HIPAA auditor will ask for. The browser-based agent installs without network changes, so IT doesn't need a procurement cycle to get visibility. Discovery is ungated, which means you can map your shadow AI footprint before committing to enforcement. The ceiling appears when your environment scales past a single site or when you need MCP agent governance — those capabilities are paid-only features. Teams running large multi-site deployments report that per-seat policy management becomes the operational bottleneck.

Attribute	Emilia Protocol	Northbeams
Pricing	Paid	Paid
Price	—	$9,600/yr
Free trial	No	14 days
Open source	No	No
Has API	Yes	Yes
Self-hosted option	No	No
Platforms	—	Browser (Chrome, Edge, Brave, Arc), Mac, Windows, CLI
Pros	Machine-checked formal proofs on every commit, so compliance teams can point auditors to published TLA+ invariants rather than internal policy documents that prove nothing under scrutiny. Signoff is cryptographically bound to the exact action hash, which means an agent or compromised session cannot reuse an approval for a different transaction — the replay and substitution attacks that make business email compromise so effective are closed at the protocol level. Merkle-anchored, publicly verifiable evidence receipts at a stable API endpoint, so your SOX audit trail is a signed artifact the auditor retrieves independently rather than a log your team assembles after an incident. Three independent verifier implementations — JS, Python, and Go — proven to agree, so receipt verification does not create a single point of failure or lock you into one runtime. Apache 2.0 open specification, which means a legal and security team can read exactly what they are deploying before any commercial agreement, reducing the procurement risk that opaque governance tools carry.	Agent deploys without network changes or procurement approval, so a security team can have full shadow AI inventory running in hours rather than after a six-week firewall project. Real-time PII, credential, and source-code interception fires before data leaves the browser, which means you catch the leak before it becomes a breach notification obligation. Automated generation of SOC 2, HIPAA, and EU AI Act audit evidence means compliance reviews don't require a two-week manual log reconstruction before every auditor call. Per-tool allow/block/sandbox policies for MCP agent access, so engineering teams using Cursor or Claude Desktop don't operate in a governance blind spot while the rest of the org is covered. Discovery tier is ungated, which means you can produce a complete AI tool inventory and make the business case for enforcement before spending a dollar — removing the 'prove it first' blocker most security budgets impose.
Cons	Every irreversible action blocks until a named human approves it on their own device — there is no async or batch approval path described in the vendor docs. Teams running high-volume automated pipelines where human latency breaks throughput SLAs cannot use EMILIA as a gate without redesigning their pipeline around human review cycles, and most choose a different architecture rather than slow the pipeline. No self-hosted deployment option is documented, which means teams in air-gapped environments, strict data-residency jurisdictions, or FedRAMP-scoped infrastructure cannot route sensitive action context through an external control layer — those teams typically fall back to building internal approval workflows on their existing identity and audit stack. The formal verification scope is the authorization state machine only; the vendor states explicitly it does not prove anything about the AI model's behavior. Teams that conflate 'the protocol is safe' with 'the agent's decisions are safe' will find EMILIA prevents unauthorized execution but does nothing to catch an agent that requests plausible-but-wrong actions that a human approver rubber-stamps under time pressure.	Browser-agent coverage means any AI workload running outside the browser — CLI tools, server-side agents, API integrations — is invisible to Northbeams; teams with significant non-browser AI usage will maintain a separate inventory for those surfaces and live with two parallel governance systems. MCP agent governance and Fleet (multi-site policy management) are paid-only features, so organizations that deploy on the free tier and then discover their primary risk is in coding agents or distributed sites face a forced upgrade decision mid-rollout rather than before it. Teams that outgrow per-tool policy management at scale — typically when seat counts push into the hundreds across multiple locations — report that policy administration becomes a recurring manual burden; at that inflection point, organizations with dedicated security engineering staff typically migrate to a network-layer DLP or CASB that handles enforcement at the infrastructure level rather than the browser.

Bottom line

Emilia Protocol and Northbeams are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between Emilia Protocol and Northbeams?

Emilia Protocol is Paid, while Northbeams is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Emilia Protocol better than Northbeams?

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.