A distributed, event-driven platform engineered for simultaneity.
From ingestion to action, every layer is built to process millions of signals per second and respond within seconds.
Five stages, raw signal to executed action.
Raw data from all three ecosystems is normalized, streamed across a Kafka-compatible backbone, fanned out to the three agents, joined in the correlation layer, and finally executed through a policy-gated action layer.
Normalize
Raw data from all three ecosystems is normalized into canonical event schemas.
Stream
Events flow across a Kafka-compatible event backbone, persisted for replay.
Fan out
Each event is fanned out to all three agents at once.
Join
Signals are joined in the correlation and entity-resolution layer.
Act
Mitigation executes through a policy-gated action layer.
Built on proven, open infrastructure.
For technical buyers — the systems that move and reason over millions of events per second.
Every link carries a confidence score and an explainability trace.
Cygy links identities across datasets of differing schema and quality using probabilistic record linkage and graph embeddings — with audit admissibility built in from the start.
// link record
match: bank_acct ↔ wallet_cluster
confidence: 0.94
method: graph_embedding + record_linkage
trace: 6 shared counterparties, 2 device fp
// → admissible for audit
Engineered to process millions of signals per second.
See the architecture run against representative cross-ecosystem scenarios.