Authsignal
Drop-in passwordless authentication, MFA, and fraud orchestration for modern customer identity flows.
Visit websiteAbout Authsignal
Authsignal is a developer-first authentication and fraud orchestration platform that lets product teams add passkeys, MFA, and risk-based step-up to any user journey in days, not months.
Its no-code rules engine, audit trail, and identity verification integrations make it ideal for fintech, marketplaces, and any business protecting high-value customer transactions.
Authsignal use cases
Authsignal is a drop-in authentication layer that adds passkeys, adaptive MFA and a rules engine on top of an existing identity stack, without requiring a re-platform. Below are the use cases Authsignal publishes for how organisations apply the platform across security, payments, onboarding and operations.
Threat & Fraud Prevention
Account Takeover Prevention
Stop credential stuffing, phishing and bot-driven account takeovers with passkeys, adaptive MFA and risk rules.
Read the use caseFraud Protection
Apply adaptive MFA and passkeys to reduce fraud across customer accounts while keeping the experience seamless.
Read the use caseFake Account Prevention
Stop bulk and synthetic account creation with device, phone and behavioural verification at registration.
Read the use caseSession Hijacking Prevention
Detect and stop hijacked sessions from stolen cookies or tokens with continuous, adaptive re-verification.
Read the use caseLogin Anomaly Detection
Identify unusual login behaviour, such as new devices, locations or timing, and respond with adaptive verification.
Read the use caseAuthentication Experience
Go Passwordless
Replace passwords with passkeys and drop-in MFA for a faster, more secure sign-in experience.
Read the use caseAccount Recovery
Secure the account-recovery journey with verified channels and risk-based checks so it isn't the weak link in authentication.
Read the use caseCall Centre Authentication
Verify callers with passkeys, biometrics or OTP before agents handle sensitive requests, cutting handle time and fraud risk.
Read the use caseSMS Cost Optimisation
Cut spend on SMS one-time codes by shifting eligible authentication traffic to passkeys and push notifications.
Read the use caseExisting Apps / Drop-In Authentication
Add passkeys and adaptive MFA to any existing application without replacing the identity provider or migrating user data.
Read the use casePayments & Verification
Palm Biometric Payments
Authorise payments and verify identity using palm vein biometrics, without cards, phones or PINs.
Read the use caseQR Code Payments
Secure QR-code-initiated payments with adaptive MFA and passkeys, preventing manipulated codes from completing fraudulent transactions.
Read the use caseTransaction Monitoring
Trigger step-up authentication on risky transactions based on value, destination or behavioural signals.
Read the use caseOperations & Compliance
User Onboarding & Sign-Up
Streamline new account sign-up with passkey-first enrolment while filtering out fraudulent registrations early.
Read the use caseUser Management
Give users self-service control over enrolled devices, passkeys and verification methods.
Read the use caseCompliance
Support regulatory expectations for strong customer authentication with auditable, risk-based verification.
Read the use caseContent is paraphrased independently by CyberLane from Authsignal's public use-case pages for evaluation purposes; it is not an Authsignal publication.
Where Authsignal is applied by industry
Each use case has its own page covering the challenge, the relevant capabilities, a practical scenario and how CyberLane supports the decision.
Financial Services
Passkeys and adaptive MFA layered over the existing identity platform, with risk-based step-up on sensitive events.
Read the use caseMarketplaces
Protect embedded finance, payouts and loyalty capabilities without replacing the underlying authentication platform.
Read the use casee-Commerce
Passwordless checkout and risk-based verification that reduces password resets and SMS spend without exposing stored payment details.
Read the use caseFinTech
Behavioural signals, a no-code rules engine and passkeys covering both account access and sensitive in-app actions.
Read the use caseCrypto
Phishing-resistant access and contextual step-up for wallets, withdrawals and platform accounts where transactions cannot be reversed.
Read the use caseHealthcare
Patient portals, telehealth and phone-based record requests verified consistently, with audit evidence of who was challenged and why.
Read the use caseLoyalty & Travel
One rules engine applied consistently across app, web and assisted channels, with passkeys for frequent travellers.
Read the use caseProfessional Services
Region-specific workforce authentication policies layered over an existing identity stack, without re-platforming.
Read the use caseCore Capabilities
- Passkeys and WebAuthn
- TOTP, SMS, email, and push MFA
- Risk-based step-up authentication
- No-code orchestration rules engine
- Full audit trail and compliance reporting
Where CyberLane Helps
CyberLane helps clients evaluate where Authsignal fits when modernising customer authentication without replacing an existing identity stack — typically adding adaptive MFA and fraud signals to high-risk events such as login, payouts, and profile changes. We support requirements, architecture, business case, proof-of-concept planning and implementation oversight.
Product-specific delivery is coordinated with the vendor or qualified implementation partners.
Advisory topics Authsignal is matched with
Technology decisions start with the advisory work, not the product. These are the domains where Authsignal is typically considered — read the advisory approach before evaluating the technology.
Common questions about Authsignal
Is this a replacement for our CIAM platform?
No. Authsignal is typically layered on top of an existing identity platform to add passkeys, MFA and risk-based step-up without a migration programme.
Where does it deliver value first?
On high-risk events — login from new devices, payouts, bank-detail changes, profile and contact updates — where uniform friction is either too weak or too costly.
Can we run passkeys and legacy MFA at the same time?
Yes, and in practice you have to. The important design work is the fallback path, so recovery does not quietly reintroduce the weakest factor.
Who tunes the rules once it is live?
The rules engine is intended for product and fraud teams rather than engineers. Ownership and change control should be agreed before rollout.
How does CyberLane get involved?
Requirements, authentication journey design, sequencing of the adoption roadmap, business case and proof-of-concept planning, with implementation coordinated through the vendor or a delivery partner.
Considering Authsignal?
CyberLane supports requirements, architecture, business case, proof-of-concept planning and implementation oversight to establish where Authsignal fits.