How SHI AI Fraud Detection can uncover a new era of protection:
Get real-time, explainable AI fraud prevention for public and private sector organizations.
Fraud is evolving faster than ever. Today’s threats are dynamic, coordinated, and increasingly automated — leaving traditional, rules-based systems struggling to keep up.
From synthetic identities and collusive vendor networks to benefits abuse and insider threats, organizations face a relentless wave of sophisticated fraud tactics. Meanwhile, fraud teams are overwhelmed by false positives, rising regulatory demands, and mounting financial losses.
SHI’s AI Fraud Detection is a real-time, explainable AI solution designed for both public and private sector sectors. Powered by GPU-accelerated graph neural networks (GNNs) and XGBoost models, SHI’s service uncovers hidden relationships, anomalies, and fraud rings that legacy systems miss. The solution makes immediate decisions to stop emerging threats before they cause damage, shifting your approach from reactive investigation to proactive defense.
Why choose SHI AI Fraud Detection?
Our solution offers real-time detection, audit-ready transparency, and dramatically reduced false positives, so your analysts can focus on high-value cases. With AI Lab Fast Start, you’ll see proof of value in just 2–3 weeks using your own data. Plus, SHI’s platform is enterprise-grade, scalable, and compatible with cloud or hybrid environments – backed by a trusted partner ecosystem, including NVIDIA, hyperscalers, and leading security platforms.
Industry use cases span banking, government, healthcare, education, retail, and insurance — tackling everything from credit card fraud and procurement abuse to staged claims and loyalty program exploitation. SHI aligns technical outcomes with business priorities for every stakeholder, delivering measurable results.
Ready to see the impact for yourself? Learn how SHI AI Fraud Detection can help protect your organization, streamline compliance, and deliver real business value. Book your AI Lab engagement today to see your fraud risks, model performance, and ROI forecast before committing to full deployment.
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