Edge Ingestion
Ingest transaction anomaly alerts from core banking monitors.
Use Case 12 · Banking, Finance & Insurance
Agentic transaction anomaly investigation and automated regulatory SAR narrative generation.
Customer need & pain point
Step-by-step execution
Ingest transaction anomaly alerts from core banking monitors.
Aggregate cross-border wire histories, corporate registry data, and Sanction list status using MCP tools.
Synthesize a comprehensive Suspicious Activity Report (SAR) draft using reasoning models.
Submit draft to human compliance officer for 1-click review and submission.
Quantifiable ROI & impact
The “aha” moment
“Our investigators moved from manual drafting to strategic oversight, multiplying case capacity 5x.”
Enterprise data is vast, fragmented, and hidden beneath legacy silos. Traffelo AI harvests that intelligence from the core.
Operating entirely inside your security perimeter, raw streams are scrubbed locally, with zero PII egress — architected against KVKK, GDPR and PDPL.
Tokenised intent payloads are routed dynamically across leading language models — chosen per workload for latency, reasoning depth, and cost.
Turning signals into immediate commercial execution. Traffelo AI. Sovereign intelligence, orchestrated.
Key management, AES-256 encryption at rest, TLS 1.3 in transit, and full tokenization mappings — documented end to end.
All raw PII, transaction details, and user identifiers are scrubbed locally within your security perimeter.
Stripped intent payloads are cryptographically tokenized before execution on remote multi-LLM networks.
Deploy on-premise, in local cloud regions, or fully air-gapped environments. Air-gapped deployments use local models; hybrid ones reach global models with tokenised data.
Encryption at rest AES-256-GCM
Transport TLS 1.3 · mTLS between edge nodes
Tokenisation SHA-256 mapping, key material never leaves the perimeter
Key management Customer-held HSM / KMS, BYOK supported
Egress policy Deny-by-default; anonymised intent payloads only
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