Suspicious Login Detection in Minutes

Enhance customer security effortlessly by preventing fraudulent logins with our simple API.

Free Trial — No Credit Card Required
Map Example Image

New login detected on your account.

Near: London, UK
Device:Apple Mac
When:Wed Jan 31 2024 at 9:24

Worried about security breaches?

Your Login System without Loginllama

  • Vulnerable to customer phishing attacks
  • Customer accounts breached
  • Waste hours in customer support
  • Loss of reputation for your brand
  • Increased Risk of Credential Stuffing

Your Login System + Loginllama

  • Protected against customer phishing attacks
  • AI Powered Login Behaviour Insights
  • Real time fraud detection
  • Enhanced Customer Trust
  • Easy to use SDK and API

Fraudulent Logins are a Problem

Phishing Attacks


in 2022 alone. A 150% increase from 2019


Fraudulent Logins

1 in 140

login attempts are Account Takeover (ATO) attacks


Financial Losses from ATO


for each successful attack


LoginLlama is for Developers

Add login security checks to your app using our REST API or official libraries for easy integration. One single endpoint and just a few lines of code.

  -X POST 
  -H "Content-Type: application/json" 
  -d '{
    "user_agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/ Safari/537.36",
Llama on a computer

How it works

Through multiple ranking factors, LoginLlama evaluates login attempts, scoring each based on its 'suspiciousness' level.

Historic Behavior

This is the strongest indicator of suspicious activity. We analyze the historic behaviour of the user to determine if the login attempt is suspicious.

AI Analysis

We utilize AI to ask what it thinks about the login attempt based on the historic behaviour of the user and other ranking factors we use. Think of it as an automated judge.

Request Origin

We look at the IP address of the login attempt and information about it. For example, we check if that IP address is from known VPN providers or a TOR exit node.

User Agent

Looking at the user agent we can determine the users browser and operating system. This data is used to check against where the customer usually logs in.

Secure Your Platform with LoginLlama: Combat Top Login Threats

Unauthorized Access

Prevents unauthorized users from accessing critical data or systems.

Account Takeover

Detects and prevents account compromise from unusual login patterns.

Credential Stuffing

Blocks attempts to use stolen credentials, protecting user accounts.

Brute Force Attacks

Thwarts repeated login attempts with different credentials.

Phishing Attacks

Flags suspicious logins from phishing or social engineering attempts.

Insider Threats

Monitors malicious or unusual activities by authorized users.

Start a Free Trial

Start a free trial with 1000 login checks, no credit card required.