Platform Architecture
A distributed, fault-tolerant architecture designed for real-time fraud prevention at any scale.
System Overview
Wingman processes every request through a multi-stage pipeline, from signal collection to enforcement, in sub-millisecond time.
Client Layer
Web / Mobile / API Consumers
Integration Layer
Envoy Proxy + WebAssembly Filters
Attribute extraction, request/response interception
Wingman Engine
Real-Time Risk Scoring
Device Intel
Behavioral
IP / Geo
Credentials
Enforcement
Allow / Step-Up / Rate Limit / Block
Data Flow
Collect
Extract signals from device, behavior, network, and session context
Score
Evaluate risk across hundreds of signals in real time using ML models
Decide
Apply hybrid rules + ML decisions with configurable thresholds
Enforce
Execute actions: allow, challenge, rate limit, or block
Performance at Scale
<1ms
Decision Latency
Sub-millisecond risk scoring at the edge
10K+
Requests/Second
Per node, horizontally scalable
99.9%
Uptime SLA
Fault-tolerant distributed architecture
<5min
Recovery Time
Automated failover and self-healing
Deployment Options
Deploy Wingman in the way that fits your infrastructure and compliance requirements.
Cloud (SaaS)
Fully managed deployment on AWS, GCP, or Azure. Zero infrastructure management.
On-Premise
Deploy within your own data center for maximum control and data residency compliance.
Hybrid
Combine cloud management with on-premise data processing for regulated industries.
Built for Resilience
Wingman is designed with failure in mind. Circuit breakers, graceful degradation, and configurable fallback policies ensure your application is never blocked by the fraud layer.
Circuit Breakers
Automatic failover when subsystems are unresponsive
Graceful Degradation
Falls back to allow-mode if engine is unreachable
Fallback Policies
Configurable behavior when risk data is unavailable