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Login monitoring

How to monitor your login flow and catch sign-in failures

Login is the failure with the widest blast radius. A broken checkout affects people trying to buy right now. A broken login affects every customer you have ever had, simultaneously, and produces a support queue rather than a metric.

What breaks sign-in

A certificate or token expires. An identity provider's signing key rotates, a JWT secret changes, and every session becomes invalid at once at whatever moment the clock says.

Sessions stop persisting. A cookie attribute change - SameSite, Secure, domain - means login appears to succeed and the next page shows you logged out.

SSO configuration drifts. A redirect URI, a scope, an expired secret in the identity provider.

A rate limit or firewall rule catches real users. Protection tuned against credential stuffing starts refusing legitimate customers.

Why the login page returning 200 proves nothing

Every one of those failures serves a perfectly healthy login page. The form renders, the CSS loads, the server is fast. The failure is in what happens after you submit, which no status check reaches.

The tell is usually support volume rather than monitoring - which means your customers are your alerting system, and they are slower and considerably more annoyed than software.

How SiteOps handles it

Four steps, none of which involve writing a test script.

1
Give it a test account, stored encryptedCredentials are encrypted and passed to the browser only. They are never included in any prompt sent to an AI model.
2
It signs in for realFilling the form and submitting it, rather than checking that a login form exists. A login journey that never submits cannot detect a login that never works.
3
It confirms you are actually signed inBy checking the state after submission - not just that the page changed. A redirect back to the login page is a failure, even though it returns 200.
4
Failures come with the page attachedThe screenshot shows what your customers are seeing: the error text, the loop, the blank state.

What it does and does not do

  • Use a dedicated test account, not a real customer's or an admin's. It needs only enough access to prove sign-in works.
  • Credentials never reach the AI. They are encrypted at rest and injected into the browser at replay time.
  • Accounts with MFA need an exception for the test account, or the journey stops at the code prompt and reports it rather than guessing.

Common questions

Where are the credentials stored?Encrypted, and decrypted only to be typed into the browser during a replay. They are never sent to an AI model and never appear in logs or alerts.
Can it handle two-factor authentication?Not automatically, and it does not pretend to. It detects the code prompt and reports it. For a monitored login, use a test account with MFA not enforced.
What if login works but the session drops immediately?That is caught. The journey checks the signed-in state after submitting rather than just that the submit succeeded, so a login that silently bounces you back is a failure.

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