Every cyber strategy is logic.
Logic can be defeated by logic.
We make attackers pay
Risk moves from the target to the attacker.AuthLN is a decision layer in front of your IdP that prices every attempt. Every control you own is funded by your team and scales with their volume. They attack for free. Put a price on the attempt and that inverts.
You pay for every attempt. They attack for free.
Their entire ledger for the same attempt:
0
Per attempt, at any volume.
Every attempt draws on your budget and none of theirs.
Pay Factor Authentication prices every attempt.
A decision layer in front of your IdP that prices every attempt, and works with the passkeys you already have.
Keep your passkeys. Or use ours. We can be your passkey and your MFA. Not another factor. The factor.
Nothing else records the third. A walk-away is the measurement no other system can take.
Every event arrives resolved, with an outcome you can act on. Detection expires. The cost you impose does not.
We don't block attacks - we price them
AuthLN adds one factor to every login: a Bitcoin Lightning invoice. Authorized users satisfy it instantly with a Post-Quantum Encryption (PQE) passkey and pay nothing. Everyone else has to settle it first - and that one change puts a cost on every attempt before authentication completes.
Every attemptmust satisfy the gate
AuthLN sits in front of the IdP you already run. Same gate for every attempt; what it costs depends on whether you can prove you belong.
Bring your IdP, keep your stack. AuthLN can be your passkey and your MFA - not another factor, the factor.
The attempt that walks away is the one nobody else records
A passkey on its own resolves two ways: pass or fail. An abandoned attempt costs nothing, so it signals nothing. Put a price on the attempt and a third outcome appears - someone weighed what your accounts are worth against what trying would cost them, and decided against it. That is a judgment about your organization, made by the adversary, and you now have it on record.
- Authorized. One passkey tap, about 1.2s, nothing to pay and nothing for a real user to notice.
- Paid and denied. Bore the cost and still did not clear the gate - logged with the origin, the credential targeted, and a correlation ID that outlives the session.
- Walked away. Saw the price and abandoned. Recorded, not invisible - and walk-aways clustering across accounts show you someone pricing your estate.
You don't get a threat score. You get a name, a time, and a place.
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.
sarah.chen - Boston, MA
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.
j.miller's credentials - Kyiv, Ukraine (91.234.x.x)
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.
Synthetic-identity probe - cloud compute, us-east-1
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.
847 logins this week. 0 unauthorized attempts.
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.
The decay curve is a policy engine
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.
Authentication Activity (Modeled 90-Day Deployment)
12,400 Protected Users
Modeled 90-day deployment · 12,400 protected users. The curve, not just the endpoint, is the asset.
Zero-trust tuning
Step up controls where the data shows real risk - specific users, hours, and geographies - and remove friction everywhere it isn't warranted.
Cyber-insurance underwriting
Per-user attempt history and resolution outcomes feed the model with real exposure data - defensible premiums instead of guesswork.
Board & regulator reporting
Quantified, causal threat reduction - a 23 NYCRR 500 reporting trail and a board slide backed by hard numbers, not anomaly charts.
Three costs an attacker routes around. One they cannot.
Proof of work is what makes the money scarce. We use it at that layer, not as the cost itself.
Compute cost deflates as hardware improves, and it has no denomination, so it produces nothing you can put in front of an auditor. A priced attempt does neither.
The goal isn't better incident response. It's making the attempt not worth making.
Attackers ration what costs them. As unauthorized attempts stop clearing for free, we expect the cheap, high-volume ones to go elsewhere first - there is no return in a target that charges for every try. What should be left is a smaller number of deliberate attempts, each one priced, recorded, and worth a look.
One group. Thirty days. Then look at the record.
Every figure on this site is modeled. This is how you replace them with measurements from your own environment.
- One application, one user group
- A named owner on your side
- An hour at each end
- One measured number
- Days 1-3ScopePick one application and one user group.
- Days 4-7DeployThe gate goes in front of your existing IdP.
- Days 8-28ObserveEvery attempt priced, resolved and recorded.
- Day 30ReviewYour own numbers in place of ours.
See what pure signal looks like on your stack.
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.
Schedule a Demo