Prophaze AI WAF

Prophaze AI WAF is an AI-driven web application firewall designed to protect modern, API-driven applications across cloud, Kubernetes, hybrid, and on-prem environments. The platform inspects HTTP/HTTPS traffic inline or at the edge with no code changes, building behavioral baselines for users, bots, endpoints, parameters, and session flows. Using adaptive machine learning and deep payload inspection, it identifies anomalies, zero-day exploits, automated abuse, and Layer 7 DDoS patterns, then applies real-time mitigation such as blocking, challenging, or rate-limiting based on risk and business impact. Prophaze supports Kubernetes-native deployments and proxy-less setups, fits into CI/CD and GitOps/IaC workflows via policy-as-code, and provides centralized policy management with granular RBAC and audit logs. It also offers structured forensics logs, automated compliance reporting, and native integrations for alerting and incident workflows. The WAF emphasizes reducing false positives by combining payload analysis, behavior anomalies, and protocol awareness, enabling consistent protection across distributed architectures without requiring constant manual rule maintenance.