National logistics operator cuts fraud by 87% with AI + Blockchain + Zero-Trust security
A tier-1 national logistics operator faced escalating cargo fraud, siloed legacy systems and an inability to audit shipments end-to-end. Junix delivered a unified control plane in under a year.
Fragmentation, blind spots and an audit gap.
- 1
14 disconnected legacy applications running on 4 different databases with no shared identity layer.
- 2
Cargo manifests could be altered post-scan; audits took weeks and often lacked cryptographic proof.
- 3
No real-time anomaly detection — fraud was discovered on average 38 days after occurrence.
- 4
Increasing API abuse and credential-stuffing attempts against customer portals.
One control plane. Four pillars.
Junix Data Fabric replicated 14 sources into a single control plane using low-latency CDC and a shared entity graph.
A domain-adapted LLM plus classical time-series models flag anomalies across manifest edits, geo-fence breaches and driver behaviour.
Every critical event is hashed and anchored on a permissioned Hyperledger network shared with customs and insurers.
mTLS everywhere, workload attestation, per-API rate limiting and 10Tbps DDoS scrubbing at the edge.
From kickoff to hardening in 12 months.
Threat modelling, data contracts, KPI baselines.
CDC pipelines and unified entity graph in production.
Anomaly engine and audit ledger integrated into ops.
Full mTLS mesh, WAF policies and 24/7 SOC handoff.
“Junix compressed what our board thought was a 3-year modernization into a single fiscal year — with tangible fraud reduction from month four.”
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