LoginLlama | Suspicious Login Detection for Developers

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New login detected on your account.

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

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

Phishing Attacks

in 2022 alone. A 150% increase from 2019

source

Fraudulent Logins

login attempts are Account Takeover (ATO) attacks

source

Financial Losses from ATO

for each successful attack

source

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.

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.