What is LoginLlama?

LoginLlama delivers an API‑based login security solution that assigns a 0–10 risk score and explanation codes for each authentication attempt. The single‑endpoint service can block, require MFA, or allow access based on the risk level, protecting against credential stuffing, phishing, and account takeover.

Native SDKs for Node.js, Python, and PHP automatically detect IP addresses and user agents, enabling integration in minutes without machine learning expertise. Sub‑500 ms response times keep the user experience seamless for production workloads. A dashboard tracks login attempts, risk trends, and alerts for spikes, while data export and API status monitoring provide operational visibility.

LoginLlama pricing Subscription

Starter $19/mo
Professional $49/mo
Enterprise $199/mo

LoginLlama user reviews

Would you recommend LoginLlama?

LoginLlama's key features

  • Real-time login risk scoring
  • Single API call before authentication
  • Sub-500ms response time
  • Native SDKs for Node.js, Python, PHP
  • Auto-detects IP and User-Agent
  • Drop-in middleware integration
  • Dashboard analytics with alerts

LoginLlama use cases

  • Implement real-time login risk scoring for your e‑commerce platform, automatically blocking suspicious attempts, prompting MFA for high‑score logins, and reducing credential‑stuffing fraud with sub‑500 ms responses
  • Integrate LoginLlama into your SaaS product's authentication flow, leveraging its dashboard to monitor risk trends, receive alerts, and enforce MFA for users from new IP addresses, ensuring developer login security
  • Deploy LoginLlama in your financial services mobile app, using the API to score each login attempt, block low‑score malicious tries, and trigger multi‑factor authentication for high‑risk entries, protecting against production fraud

Who is it for?

  • Software developers
  • Security architects
  • Cybersecurity analysts
  • System administrators
  • Risk management analysts

Community Discussions

🔍 Looking for AI tools? Try searching!