AI-driven fraud detection enhances website security by identifying suspicious activity, blocking threats, and preventing cyberattacks in real time.

How It Works:

• User Behavior Analysis: AI tracks user activity and flags unusual patterns.
• Anomaly Detection: ML identifies unauthorized login attempts or fraudulent transactions.
• AI-Powered CAPTCHA: Detects bots with more accuracy than traditional CAPTCHAs.
• Real-Time Threat Mitigation: AI instantly blocks malicious activities.

Key Features:

• AI-Powered Spam & Bot Detection: Prevents fake accounts, spam comments, and phishing attacks.
• Fraudulent Transaction Monitoring: Identifies suspicious payments and fraud attempts.
• Biometric Authentication: Uses facial or fingerprint recognition for secure logins.
• Automated Security Updates: AI detects vulnerabilities and applies security patches.

Use Case:

• E-commerce: AI flags unusual bulk purchases to prevent fraud.
• Finance: AI detects unauthorized transactions and prevents identity theft.