Edge Ingestion
Streams mobile banking location telemetry into local edge nodes.
Use Case 10 · Banking, Finance & Insurance
Zero-trust, location-based loan offer personalization using local edge scrubbing.
Customer need & pain point
Step-by-step execution
Streams mobile banking location telemetry into local edge nodes.
Layer 2 NER agent scrubs all PII (national IDs, names) and replaces them with cryptographic hashes.
Anonymized financial profiles route to internal local LLMs to match pre-approved credit limits.
Pushes personalized, location-based loan offers directly to mobile app UI.
Quantifiable ROI & impact
The “aha” moment
“Traffelo AI unlocked real-time credit personalization without moving a single byte of customer PII outside our data center.”
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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