Healthtech

Healthcare AI fraud detection across contact centers, hiring, and telehealth

Someone is calling your contact center right now pretending to be a patient. Your agents can't tell. We analyze the call as it happens, flag synthetic voice in seconds and alert the agent before they hand over anything. No audio stored, no transcript generated.

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Trusted by
Data Security

Enterprise-grade. Out of the box.

Built for environments where security is non-negotiable — from air-gapped infrastructure to international data regulations.
SOC 2 Type II
Independently audited security controls covering availability, confidentiality, and data integrity.
In-progress
GDPR
Fully compliant with EU data protection regulations. No personal data processed without lawful basis.
Compliant
HIPAA
Supports healthcare and public health agency deployments with full HIPAA-aligned data handling.
Compliant
ISO 27001
Internationally recognised standard for information security management systems.
In-progress
Air-gapped deployment
Fully containerized on-premises install. No external connections. No data leaves your environment ever.
Available
Deploy in 24 hours
Guided installation wizard gets you from contract to live detection in under a day — not months.
On-prem & cloud
Zero retention mode
Submitted media is permanently deleted after detection completes — no retention, no re-analysis. Meets the strictest data sovereignty requirements.
Available
API-first architecture
Single REST API covering all modalities. Integrates with existing SIEM, SOAR, and identity platforms.
Production-ready
Healthtech ATTACK VECTORS

Five AI fraud vectors entering healthcare organizations across every channel.

Each one targets a different access point. Resemble AI covers all five in real time, with no audio stored, no transcript generated, and no PHI leaving your environment.
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ATTACK TYPE
METHOD
MODALITY
VICTIM
1
Fraudulent remote worker
Deepfake candidate passes video interview using synthetic face and voice to gain access to healthcare systems and patient data.
  
HR / IT security teams
2
Patient contact center fraud
AI-generated voice impersonates a patient or authorized system to access records, request prescriptions, or authorize account changes.
Contact Center / Fraud teams
3
Telehealth video deepfake
Synthetic face or voice used in a telehealth consultation to impersonate a clinician or patient.
  
Clinical teams
4
Service desk social engineering
Caller impersonates an employee or clinician to request password resets, system access, or PHI through the IT service desk.
IT security
5
Synthetic identity at registration
AI-generated identity documents or voice used to register as a patient or member to access services or submit fraudulent claims.
  
Compliance
Modalites:   Audio =     Video =      Image =
GENERATIVE AI PROTECTION IN ACTION

Detection for every access point in your organization

Bot auto-joins interviews and telehealth sessions via calendar sync
Detection in seconds — no audio stored
Real-time alerts to HR, security, or contact center teams
Voice cloning for patient outreach with consent and watermark built in
On-premise or private cloud for PHI data sovereignty

Zohaib Ahmed, CEO — U.S. Senate testimony on deepfakes & election integrity

INTEGRATIONS

Works with your existing stack

All integrations
Frequently asked questions
How do healthcare providers detect AI-generated patient fraud?
Detection runs on inbound contact center calls in real time, analyzing the audio stream for synthetic voice artifacts in under 300 milliseconds. The agent receives an alert with a confidence score and fraud category before the call ends. For recorded media and telehealth sessions, files submitted via API return manipulation type, model attribution, and an audit-ready report.
How is Resemble AI available for government procurement?
Yes. A silent detection bot joins scheduled telehealth sessions across Zoom, Teams, Google Meet, and Webex. It monitors both audio and video streams for synthetic content and alerts the security or clinical team during the call if a face swap, cloned voice, or synthetic persona is detected. Calendar sync means every session is covered without manual setup per call.
How does on-premise deployment help healthcare organizations meet HIPAA requirements?
On-premise deployment runs detection models entirely within your own infrastructure via Kubernetes containers, with no audio, video, or patient data leaving your environment. Combined with zero data retention mode, where files are analyzed in memory and permanently deleted post-detection, this satisfies HIPAA data handling requirements. Resemble AI also signs Business Associate Agreements for healthcare customers.
What tools detect synthetic media in medical claims workflows?
For claims and registration workflows, multimodal detection covers AI-manipulated images, synthetic identity documents, and generated audio submitted as evidence. Files are submitted via API and analyzed for generative AI artifacts, returning a confidence score, manipulation type, and model attribution. See the dispute and claim verification page for full claims workflow integration details.
How does Resemble AI approach ethics?
Yes. Resemble AI signs BAAs for healthcare organizations where the detection bot or any component of the platform may encounter incidental PHI. For healthcare enterprise accounts, BAA signing is part of standard onboarding.
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