CTOs must focus on adaptive threat detection, data-driven decision-making, and seamless security integration. Traditional rules and static defenses no longer work—CrossClassify offers real-time fraud detection powered by behavioral analytics and device fingerprinting to keep systems secure and scalable.

We help CTOs by:

• Reducing fraud without increasing engineering overhead
• Offering lightweight, API-based integration
• Scaling protection with your app across regions, platforms, and user volumes
• Giving insights into user behavior anomalies that can improve both security and UX

AI enables real-time pattern recognition, adaptive threat scoring, and behavioral anomaly detection—even when fraudsters use clean credentials. CrossClassify’s AI models learn from ongoing activity to detect and stop emerging threats without human tuning.

• Account takeover (ATO) using stolen credentials
• Bot attacks on signup, login, and API endpoints
• Fake or synthetic account creation
• Session hijacking or privilege escalation
• Shadow APIs and integration vulnerabilities
  CrossClassify detects and mitigates these threats in real time.

Yes. Our solution is platform-agnostic and integrates via REST APIs or SDKs. It plays well with CI/CD pipelines, SIEM tools, auth platforms (like Cognito, Auth0), and custom logging frameworks, with minimal performance impact.

CrossClassify is built for high-availability, low-latency environments, with fraud scoring in milliseconds and infrastructure that supports millions of daily risk evaluations across cloud-native systems, including microservices and serverless architectures.

We analyze:

• Device signals (OS, browser, hardware traits)
• Network intelligence (IP, proxies, VPN use)
• Behavioral patterns (click flow, typing, velocity)
• Session context (repeat interactions, anomalies)
  Our models combine this data into a unique risk fingerprint for each user.

Legacy tools rely on static rules, which are easy for modern attackers to bypass. CrossClassify uses machine learning and context-aware scoring to dynamically detect fraud, even if the activity appears legitimate on the surface.

We help with:

• Real-time fraud monitoring aligned with KYC/AML needs
• Audit trails and reporting for compliance
• Risk classification of users across the session lifecycle
• Reducing operational burden through automation
  Perfect for CTOs managing infrastructure in finance, healthcare, and telecom sectors.

By investing in invisible, intelligent defense layers that require minimal maintenance but offer high adaptability. CrossClassify helps CTOs balance innovation, user growth, and fraud resilience—without compromising on performance or user experience.