AuthLN drops unauthorized authentication 91% in 90 days and turns what's left into per-user, timestamped evidence — high-confidence signal with zero false positives. The result is defensible policy, audit-ready reporting, and quantifiable risk you can stand behind.
No anomaly scores to interpret. No "risk of 74 — block, maybe?" Authentication is binary: a user either proves they belong, or they don't. Legitimate people clear instantly and never feel a thing — so the only events that surface are the ones that actually warrant a decision.
Every authentication — clean or hostile — is logged per user with its origin, the credential targeted, and exactly how it resolved. Not aggregate threat data. The actual scene, as it happened.
Passkey verified via Secure Enclave on a recognized device. Cleared the gate in 1.2s. No invoice triggered, clean session granted — and logged for the audit record without a single analyst touch.
The right credentials, an unrecognized device. The session saw the cost, never paid, and abandoned after 600 seconds. Authentication never completed — and you know exactly who was targeted, when, and from where. j.miller flagged; no breach to chase.
Paid the invoice in full and still failed identity verification. Access denied. The payment address was preserved, the on-chain trail captured, and a legal hold initiated — an anonymous attack turned into a traceable, prosecutable event.
The first full week of silence. Automated scanners no longer targeting your domain — the environment stopped being worth probing.
Illustrative records from a modeled enterprise deployment. Names and addresses are representative.
Watch unauthorized attempts fall — then use the shape of that fall. Which users are targeted, which time windows carry risk, which geographies to harden. That's not a security metric you file away. It's a live input to policy.
12,400 Protected Users
Modeled 90-day deployment · 12,400 protected users. The curve, not just the endpoint, is the asset.
Step up controls where the data shows real risk — specific users, hours, and geographies — and remove friction everywhere it isn't warranted.
Per-user attempt history and resolution outcomes feed the model with real exposure data — defensible premiums instead of guesswork.
Quantified, causal threat reduction — a NYDFS 23 NYCRR 500 trail and a board slide backed by hard numbers, not anomaly charts.
Here's the mechanism behind everything above. AuthLN adds one factor to every login: a Bitcoin Lightning invoice. Authorized users satisfy it instantly with a passkey and pay nothing. Everyone else has to pay — and that single change makes attacking irrational before authentication ever completes.
A login begins through your existing IdP. AuthLN sits in front as a pre-authentication gate — no rip-and-replace.
A Lightning invoice gates the attempt. Authorized users clear it cryptographically with their passkey and pay nothing. The invoice only exists for sessions that can't prove they belong.
A device-bound FIDO2 credential clears instantly and free. Automated tools can't pay an invoice and fail silently; manual attackers face attribution the moment any payment clears.
Pay and you're still denied — and traced. Time out and you've abandoned, logged. Either way the economics, not your SOC, did the work.
Bring your IdP, keep your stack. AuthLN adds the factor — it doesn't replace one.
As the cost-per-attempt signal propagates through attacker networks, the hostile population self-selects out. Scanners drop your domain. Threat-intelligence feeds confirm that AuthLN-protected organizations are removed from active target lists entirely. The most secure incident is the one that never starts.
Bring your IdP; keep everything downstream. We'll show you per-user evidence, the decay curve, and what it's worth to your board — on your own environment.
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