Blog Post

How Swiss Retailers Are Using Sovereign Agentic AI for Real-Time Fraud Detection and Prevention in E-Commerce Transactions

October 12, 2023
June 3, 2026
8 min read
10
min read
Data visualization and AI network

E-commerce fraud losses continue to rise sharply, with sophisticated attacks becoming harder to detect using traditional rule-based systems. Swiss retailers face increasing pressure to protect revenue, maintain customer trust, and comply with strict EU AI Act and data protection requirements. Leading Swiss retail and e-commerce companies are now deploying sovereign agentic fraud detection systems that analyse transactions in real time, identify complex fraud patterns, and take autonomous protective actions — all while keeping every piece of sensitive transaction and customer data securely on Swiss infrastructure.

Before implementing Singularity IO's agentic platform, underwriting teams spent up to 40% of their time manually extracting data from PDFs, emails, and legacy systems. This not only slowed down the quotation process but also introduced the risk of human error in critical risk assessment models.

Key Takeaways
  • Real-time fraud detection instead of batch processing
  • False positives reduced by up to 75% compared to legacy rule-based systems
  • Full EU AI Act compliance with built-in explainability and audit trails
  • Sovereign deployment on Exoscale SKS guarantees complete data residency
  • Significant reduction in fraud losses and chargeback costs

The Growing Challenge of E-Commerce Fraud
Traditional fraud detection relies on static rules and manual review. Sophisticated fraudsters now use stolen identities, account takeovers, and synthetic identities that easily bypass rule-based systems, resulting in high false-positive rates and missed real threats.

The Sovereign Agentic Fraud Detection Solution
A new generation of autonomous multi-agent systems is transforming fraud prevention. These sovereign agentic platforms continuously analyse transaction patterns, customer behaviour, device fingerprints, and external signals to detect fraud in real time — all running inside dedicated Swiss tenants on Exoscale SKS.

How the Multi-Agent System Works
Built with LangGraph orchestration, the solution coordinates specialised agents:

Transaction Pattern Recognition Agent – analyses real-time order and payment behaviour
Customer Risk Profiling Agent – builds dynamic risk scores using sovereign RAG
Anomaly Detection Agent – identifies sophisticated fraud patterns across multiple dimensions
Decision & Action Agent – recommends or automatically blocks suspicious transactions
Compliance & Audit Agent – ensures every decision meets EU AI Act and Swiss regulatory requirements with full traceability

The entire system operates with complete auditability and zero data leaving Swiss borders.

Proven Results from Swiss Retailers
Early deployments have delivered impressive outcomes:

• Fraud detection accuracy significantly improved
• False positives reduced by up to 75%
• Chargeback losses and fraud-related costs substantially lowered
• Customer experience preserved through fewer legitimate transaction blocks
• Full regulatory compliance maintained with explainable AI decisions

Why Sovereignty Is Critical for Fraud Detection
Transaction and customer data are highly sensitive. Foreign cloud solutions cannot meet the strict data residency and regulatory control requirements that Swiss retailers must satisfy. Sovereign agentic platforms deliver both world-class fraud prevention and full Swiss control.

Implementation Stack

LangGraphLlama 3 (Self-Hosted)ExoscalePostgreSQLn8n

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Ready to achieve accurate, real-time sustainable supply chain carbon tracking with sovereign agentic AI?

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Measurable Impact

How Singularity's sovereign agentic workflows transformed operations and delivered concrete ROI for this implementation.

85%
3.2x
$1.5M
99.9%
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