CyberLane
Authsignal · Authentication Use Cases

Account Takeover Prevention

Stop credential stuffing, phishing and bot-driven account takeovers with passkeys, adaptive MFA and risk rules.

The challenge

Automated credential stuffing and phishing kits target login and account-recovery flows, and static passwords or SMS one-time codes are increasingly bypassed by real-time relay attacks. Security teams need a way to raise authentication friction only when risk signals warrant it, without degrading the experience for legitimate customers or requiring a rebuild of the existing identity provider.

Key capabilities in this use case

Phishing-resistant passkeys

Replace or supplement passwords with WebAuthn passkeys bound to the device and origin, removing the shared secret that credential-stuffing tools rely on.

Adaptive step-up MFA

Trigger additional verification such as push, WhatsApp OTP or SMS only when a login deviates from expected device, network or behavioural patterns.

Risk rules engine

Configure conditions on IP reputation, velocity, device fingerprint and geography to decide when to challenge, block or allow a session.

Identity provider integration

Layer these controls onto Azure AD B2C, Cognito, Keycloak or Auth0 without migrating user stores or replacing the existing IdP.

Core capabilities

Passkey enrolment

Prompts and manages passkey registration across web and mobile.

Adaptive rules engine

No-code rules to route authentication decisions by risk.

Pre-built UI components

Drop-in widgets reduce integration effort for step-up flows.

Event and audit logging

Records authentication decisions for later investigation.

How it works in practice

Blocking a credential-stuffing wave

A retail bank notices a spike in failed logins from a narrow band of data-centre IP addresses, consistent with a credential-stuffing tool testing leaked password lists. With Authsignal's rules engine layered in front of the existing IdP, logins from that risk profile are automatically challenged with a passkey or push prompt instead of being accepted on password alone. Genuine customers on recognised devices pass through unaffected, while the automated attempts fail because the bots hold no enrolled passkey or device to approve the challenge. The security team reviews the event log the next morning, confirms the pattern, and tightens the rule further for that IP range.

  1. 1Anomalous login velocity is detected by the rules engine
  2. 2Step-up passkey or push challenge is triggered automatically
  3. 3Failed automated attempts are logged for review

Expected outcomes

  • Fewer successful automated login attempts
  • Reduced reliance on password-only authentication
  • Lower support burden from compromised-account tickets
  • Faster response to emerging attack patterns via rule changes

How CyberLane helps

CyberLane helps security and identity teams assess where account-takeover risk is concentrated, decide which flows justify adaptive MFA, and plan an Authsignal integration that sits cleanly alongside the existing IdP without disrupting current sign-in journeys.

  • Account-takeover risk assessment across key flows
  • Rules engine policy design workshop
  • Integration architecture review with existing IdP
  • Rollout and change-management plan

CyberLane is independent and works on the decision rather than the deployment. Product-specific delivery is coordinated with the vendor or a qualified implementation partner.

Official vendor sources

Content is paraphrased independently by CyberLane from Authsignal's public use-case pages for evaluation purposes; it is not an Authsignal publication.

Evaluating Authsignal for Account Takeover Prevention?

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