LoginLlama

1,000 free checks every monthStop suspicious logins before they hit.One API call. Real-time risk scores. Block credential stuffing, phishing, and account takeovers without building it yourself.Start for freeBook a demoNo credit card required. Integrate in under 5 minutes.New login detected on your account.We noticed a new login on your account.Near: London, UKDevice: Apple MacBookBrowser: FirefoxWhen: Thursday, Jan 1, 2026, 09:24IP: 164.118.123.29If this was you, there's nothing you need to do.If this wasn't you, it's possible someone has access to your login details. To protect your account, reset your password as soon as possible.99.9%API Uptime<500msResponse Time100K+Logins Checked3Native SDKsAdd login protection in minutesOne endpoint. Drop-in SDKs. No machine learning expertise required. Our API does the heavy lifting so you can focus on your product.Auto-detects IP address and user agentReturns risk score with explanation codesFails open so you never block legitimate usersWorks with any auth system or frameworkView the 5-minute quickstartNode.jsPythonPHPNext.jsExpressDjangoFlaskLaravelPHP SDKroute.ts// Install: npm install loginllama import { LoginLlama } from 'loginllama'; import { NextRequest } from 'next/server'; const loginllama = new LoginLlama({ apiKey: process.env.LOGINLLAMA_API_KEY! }); export async function POST(req: NextRequest) { const { email, password } = await req.json(); // Check with LoginLlama BEFORE authenticating const result = await loginllama.check(email, { request: req // Auto-detects IP & User-Agent }); if (result.risk_score > 5) { return Response.json( { error: 'Suspicious login detected' }, { status: 403 } ); } // Continue with your existing auth logic... return Response.json({ success: true }); }Everything you need to secure loginsBuilt for developers who need production-grade fraud detection without the complexity.Real-Time Risk ScoringEvery login gets an instant risk score based on device, location, behavior patterns, and known threat signals.Sub-500ms ResponseBuilt for production workloads. Our API responds in under 500ms so your users never notice the check.Native SDKsOfficial libraries for Node.js, Python, and PHP. Drop-in middleware that auto-detects IP and user agent.Dashboard & AnalyticsSee every login attempt, track risk trends, and get alerts when attacks spike. Export data anytime.How it worksThree simple steps to protect every login.01Add one API callCall our endpoint before authenticating. We handle the rest.02Get a risk scoreReceive 0-10 score with risk codes explaining what triggered.03Take actionBlock, require MFA, or allow based on your threshold.Skip the months of buildingGet production-grade login security without the ML team.Building In-House-6-12 months development-$50k-$150k initial investment-Ongoing maintenance burden-Limited threat intelligence-Distraction from core productLoginLlama5 minute integrationFrom $0/monthZero maintenance requiredCross-platform threat dataFocus on your productFree tools to understand unusual loginsPractical, no-friction tools for founders, agencies, and teams evaluating login security.Login Risk CheckerInteractive demo that explains context deviation without needing real user history.Try the toolSimple, transparent pricingStart free. Scale as you grow.Ready to secure your logins?Join developers who trust LoginLlama to protect their users.1,000 free checks every month. No credit card required.Start for freeBook a demo --- Login Fraud DetectionStop login fraud before it becomes a breach.Fraudulent logins lead to account takeovers, refunds, support escalations, and broken trust. Good detection blocks attacks in real time without adding friction to legitimate users.Start Blocking FraudSee the APIThe problemLogin fraud isn't just about bad passwords. Attackers use leaked credentials, botnets, and automation to blend into normal traffic. By the time a human reviews a dashboard, the damage is already done.Why logs aren't enoughLogs show what happened, not what's about to happen.Manual review doesn't scale with attack velocity.Static rules miss new fraud patterns.Signals are scattered across devices, IPs, and history.Signals that matterImpossible travel and velocity between loginsUnusual device or browser fingerprintsHigh-risk IPs (VPNs, TOR exits, data centers)Credential stuffing patterns and burst attemptsAtypical time-of-day or geo anomaliesBehavioral shifts compared to historical baselinesWhat good detection looks likeScores every login in under 100msExplains why a login is riskyLets you block, step-up, or allow instantlySeparates false positives from real threatsImproves as new attack patterns emergeWhere LoginLlama fitsLoginLlama scores every login attempt in real time using behavioral, device, and network signals. You get a clear risk score and a simple API to block, challenge, or allow logins with minimal engineering effort.Related guidesLogin Risk Checker →Detect suspicious logins →Account takeover detection →Credential stuffing detection →Read the FAQ →Stop login fraudPrevent the next breach before it happensAdd LoginLlama in minutes and stop fraudulent logins in real time.Start Free --- Free toolsSecurity tools for founders and teamsQuick, educational tools that explain suspicious login signals and help you understand what matters in real-world detection.Login Risk CheckerInteractive demo that explains why a login looks unusual based on context deviation, not fraud prediction.Try the Login Risk Checker →