LoginLlama

LoginLlama is an AI-powered security tool that detects suspicious logins in real-time. It provides an API for developers to prevent account takeover, credential stuffing, and phishing attacks.

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At a glance

Pricing

Freemium · Paid · Usage-based · Enterprise

Free tier

Yes

API

Yes

Skill level

Technical

About

What is LoginLlama?

LoginLlama offers an AI-powered suspicious login detection API designed to protect against account takeover, credential stuffing, and phishing attacks. It provides real-time risk scores for every login attempt based on device, location, behavior patterns, and known threat signals. The API is built for production workloads with sub-500ms response times and offers native SDKs for Node.js, Python, and PHP, allowing for quick integration. Developers can add login protection in minutes without requiring machine learning expertise. LoginLlama also includes a dashboard for monitoring login attempts, tracking risk trends, and receiving alerts, along with a free tier offering 1,000 login checks per month.

Best used for

Ideal for developers and startup founders who need to quickly integrate robust login security, prevent account takeovers, and detect credential stuffing. Especially valuable for teams looking for production-grade fraud detection without building in-house ML models or managing complex infrastructure.

Common actions

detect suspicious logins

prevent account takeover

secure user authentication

integrate fraud detection

credential stuffingthreatsSecurityunauthorized accesscustomer trustPythonuser behaviorenvironmental sustainabilityphpNode.js+ 4 more

Capabilities

Key features

Real-time risk scoring
Account takeover prevention
Credential stuffing detection
Phishing attack prevention
Native SDKs (Node.js, Python, PHP)
Dashboard & analytics
Customizable sensitivity rules

Target Audience

developerstartup founderproduct managersmall business owner

Integrations

stripenext.jsexpressdjangoflasklaravelauth0supabase

Pricing & Plans

Freemium · Paid · Usage-based · Enterprise

Starter

FAQs

What is the accuracy of LoginLlama's suspicious login detection?

LoginLlama achieves approximately 98% accuracy by combining statistical analysis (Bollinger bands) and AI models. It minimizes false positives through multi-layered verification, including geographic patterns, device fingerprinting, and behavioral analysis, ensuring genuine threats are caught effectively.

Does LoginLlama record Personally Identifiable Information (PII)?

No, LoginLlama does not record any PII. It only requires a user identification key generated by you to identify users and their logins. The system records non-identifying data like IP address, User Agent, Browser, OS, time of day, and estimated geographic location to rank login risk.

What programming languages and frameworks are supported for integration?

LoginLlama provides official SDKs for Node.js, PHP, and Python, available on GitHub and respective package managers. For other languages, you can integrate directly via its REST API, which supports simple POST requests with JSON payloads. API documentation includes examples for various languages.

Can I customize the sensitivity and detection rules in LoginLlama?

Yes, you can adjust the risk threshold for your application or configure different sensitivities per user segment. The API returns a numeric risk score (0-10+), allowing you to decide the threshold for your security response. You can also disable the AI judge and configure signal weights.

What compliance standards does LoginLlama meet?

LoginLlama is GDPR and UK DPA compliant. It does not store any personally identifiable information (PII), only non-identifying data points. This architecture ensures that LoginLlama does not create additional compliance burdens for your application, allowing you to provide a user identifier meaningful to your system.

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