SistaEyes connects raw transactional signals into a living, temporal intelligence graph—empowering risk teams to see context, model behavior, forecast trajectories, and execute risk-aware interventions in sub-milliseconds.
Sub-millisecond event streaming that captures payments, auth events, KYC data, device biometric signatures, and telemetry in high-throughput pipelines.
Dynamic multi-hop graph that maps accounts, IPs, hardware fingerprints, and beneficiaries with time-decay relationship weights.
Markov state-transition engines and sequence transformers that forecast future compromise probabilities rather than static single scores.
Automated structured evidence chains differentiating Observed events, Inferred relationships, Predicted next steps, and Action proposals.
Loss vs friction trade-off optimizer calculating the exact impact of ALLOW, MONITOR, STEP-UP, HOLD, or BLOCK actions before execution.
Continuous threat simulation engines (AI vs AI) that generate synthetic fraud tactics to proactively harden model boundaries against zero-day exploits.
Real-Time Ingestion • Temporal Knowledge Graph • Graph ML • Counterfactual Interventions
Engineered for high-volume banking switches, payment gateways, and fintech cores via REST, gRPC, and asynchronous Kafka streaming.
Speak with our risk architects to evaluate integration timelines and simulate threat topologies on your existing rails.
Schedule an Architecture Review