- Real-Time Threat Detection: Castle uses machine learning to monitor user behavior and detect abnormal or suspicious activities in real time. This helps to prevent fraud before it happens.
- User Authentication: The app supports multi-factor authentication (MFA), ensuring that users are who they say they are by requiring them to provide multiple forms of verification.
- Account Takeover Prevention: The app helps detect account takeovers (ATO), where attackers gain unauthorized access to user accounts. By identifying unusual behaviors, Castle prevents compromised accounts from being exploited.
- Automated Actions: The app can automatically lock accounts, require re-authentication, or trigger alerts if it detects risky activity. This proactive security feature helps businesses minimize the impact of attacks.
- Customization: Businesses can customize security policies based on their specific needs. For example, they can define what actions trigger alerts or require additional verification.
- Integrations: Castle can be integrated into various platforms and websites, such as e-commerce, financial services, and other applications where security is paramount.
Use Cases:
- E-Commerce: Prevent fraud by analyzing unusual purchase behavior.
- Fintech & Banking: Secure transactions and user data by ensuring only authorized individuals access accounts.
- SaaS Applications: Protect user logins and prevent unauthorized access to sensitive data.