AI-powered fraud detection and payment integrity for healthcare payers
Healthcare Fraud Shield detects and prevents fraud, waste, abuse, and billing errors for health plans using a hybrid AI and rules-based engine built on Microsoft infrastructure (SQL Server, .NET, Azure). The company is operationally small (51–200 employees) but security-focused: active projects span information security management, claims processing, and scoring workflows, while pain points center on fraudulent billing detection, vulnerability remediation, and HITRUST compliance. Hiring velocity is accelerating with mid and senior engineers, signaling capacity expansion in core detection logic.
Healthcare Fraud Shield detects and prevents fraud, waste, abuse, and billing errors (FWAE) in healthcare claims for payers. The platform combines AI detection with rules-based modules that operate on both pre-payment (claims verification before reimbursement) and post-payment (audit and recovery after payment). The company was founded in 2011 and operates from Chesterfield, Missouri. The technology stack is Microsoft-centric (SQL Server, .NET, Azure, Windows Server), with infrastructure automation via Ansible and identity management through Azure Entra ID and CyberArk. Core operational challenges include scaling fraudulent billing detection, maintaining security posture under compliance mandates (HITRUST CSF), and ensuring system reliability.
Primarily Microsoft: SQL Server, .NET, C#, Azure, and Windows Server. Infrastructure runs on VMware and Hyper-V with Ansible automation, Azure Entra ID for identity, and CyberArk for secrets management.
Chesterfield, Missouri. All current hiring is in the United States.
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