Limit Login Attempts Reloaded throws a lockout after a configurable number of failed sign-ins, then optionally extends the lockout window for repeat offenders. It writes failed-attempt rows to wp_limit_login_logs_failed and tracks current bans in wp_limit_login_lockouts with retry and lockout counts stored under wp_options keys like limit_login_retries and limit_login_lockouts. The visible result for a member is a curt "too many failed attempts" page with a wait timer and no real explanation.

SleekAI runs as a separate plugin and gives the locked-out visitor somewhere helpful to go. It reads the lockout-policy article, the wait-window explanation, and the support contact you have already published in WordPress. The chatbot never reads the lockout tables themselves: it has no need to, since the policy in the help center is what answers the question.

Display conditions scope the chatbot to the help center, the account-recovery page, and the support template, with no chatbot at /wp-login.php where it would just add noise to a hardened surface. Every conversation logs the page URL, model name, and token count so the team can see whether the published lockout policy actually answers the questions people have or whether the help text needs sharpening.

Limit Login Attempts Reloaded is one of the cheapest, most effective security wins in the WordPress ecosystem. Brute-force traffic that used to fill the access log gets cut off after a small number of misses, which keeps the server quiet and the legitimate signal clean. The cost is that a real member who fat-fingers a password three times in a row sees the exact same lockout screen as a bot does, with a wait timer and no context.

From their seat that looks like the site is broken. A help-page chatbot turns the lockout from a dead end into a guided path. SleekAI is the right shape for this because it answers in the team's voice.

The bot quotes the actual wait window the policy uses, not a generic number it imagined, and it points at the actual contact email the team monitors. If the team tightens the policy from 4 attempts to 3, they edit the help page once and the chatbot's answers update with it. Conversation logs surface patterns that would otherwise live as anecdotes: members who hit the extended 24-hour window without realising it exists, members who try to reset their password through the chat rather than the documented link, members who keep emailing the wrong inbox.

Each of those patterns is a one-line copy fix that reduces ticket volume in a sustainable way without weakening the security plugin's actual job.