Last update:
Adaptive authentication
Aug 21, 2026
Aikyam’s adaptive authentication uses advanced device and behavioral analytics to assess risk in real time. This is powered by integrations with ThreatMetrix, WAF, and Shape, enabling dynamic evaluation of user activity and device characteristics during authentication and sensitive actions.
Overview
Adaptive authentication is a security approach that evaluates risk factors—such as device, location, and user behavior—during login and other sensitive actions. Based on this evaluation, the system decides whether to prompt for additional verification (like multi-factor authentication) or allow access with standard credentials.
Here’s how adaptive authentication is integrated into Aikyam’s architecture.
How Aikyam Implements Adaptive Authentication
Threat Metrix Integration
Aikyam uses Threat Metrix, a third-party risk intelligence tool, to assess user profiles and device characteristics during login and account recovery flows.
- Threat Metrix performs risk evaluation for each user profile.
- Device profiling and “remember device” functionality are handled by Threat Metrix.
- The platform stores a mapping between user accounts and Threat Metrix IDs, ensuring user privacy and decoupling primary user IDs from risk evaluation.
Web Application Firewall (WAF) is a security solution that protects web applications by filtering, monitoring, and blocking HTTP/HTTPS traffic between the internet and the application.
Shape refers to Shape Security, a specialized enterprise solution for fraud prevention and advanced bot mitigation.
- Purpose: Uses AI and behavioral analytics to detect and block automated attacks, credential stuffing, fake account creation, and other sophisticated threats.
- How it works: Monitors user interactions and device signals to distinguish between legitimate users and malicious bots or attackers. Shape adapts in real time to evolving attack patterns.
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