Privacy + Security: How Sayvant Protects Clinician and Patient Data

July 30, 2025

Justin Wiley CISSP, CIPM, CIPP/US, Sayvant Staff Engineer

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At Sayvant, we work with thousands of acute clinicians at dozens of leading hospitals and health systems. We view enterprise-ready IT/security and privacy as core tenets for our clinical documentation AI platform, and we’ve been thoroughly vetted and approved for use at some of the largest systems across the country.

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1. Real-time transcription without audio retention

‍Our platform transcribes clinician conversations instantly and never retains audio recordings. By eliminating audio storage, we reduce the risk of unauthorized access or exposure of sensitive patient interactions. Data retention is strictly minimized, typically limited to 72 hours, just long enough to generate accurate documentation. This approach significantly reduces the risk surface for potential data exposure, ensuring patient confidentiality and compliance with strict privacy regulations.

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2. Infrastructure as code with independent deployments

Sayvant employs an infrastructure-as-code model, providing each hospital or care site with its own separate application and database instances. This isolation significantly lowers the risk of cross-customer data breaches and ensures that each site's data remains securely segregated. This tailored approach enhances both security and operational resilience.

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3. End-to-end encryption of data

Data protection is essential, which is why Sayvant encrypts all information in transit and at rest. This comprehensive encryption strategy protects patient and clinician information from unauthorized interception and ensures compliance with regulatory requirements. It also mitigates risks associated with data leaks or cyber-attacks, maintaining trust and confidentiality.

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4. Seamless Single Sign-On (SSO) with hospital staff roster integration

Sayvant integrates directly with hospital identity providers to offer streamlined, secure access through Single Sign-On (SSO). By leveraging existing hospital credentials, we reduce the risk of compromised user credentials and unauthorized platform access. This simplifies clinician workflows and reinforces robust authentication practices across care settings.

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5. Comprehensive compliance with industry standards and compliance requirements

We prioritize the privacy, security and integrity of your data through:

• Meeting or exceeding  strict healthcare industry legal and regulatory requirements,  including HIPAA/HITECH act administrative and technical controls
• Regular internal and third-party audits, including an AICPA SOC 2 Type 2 certification
• Continuous automated security testing (SAST, DAST, vulnerability scanning) and third-party penetration testing by security experts.
• And maintaining security, privacy and risk programs that align with best practices in the NIST AI Risk Management and NIST Cyber Security Frameworks to ensure the confidentiality, integrity and availability (CIA) of your data

This significantly reduces the risk of regulatory non-compliance, data breaches, and operational vulnerabilities. It also demonstrates our ongoing commitment to maintaining the highest standards of data security and patient privacy.

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6. U.S.-based inference without customer data training

All Sayvant AI inference and data storage takes place within the United States, and our models are never trained using customer data. This decision addresses critical risks related to data sovereignty, international privacy concerns, and unintended exposure of sensitive information. Keeping inference domestic helps meet customer compliance requirements and maintains strict control over data use.

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7. Zero Trust security architecture

Sayvant enforces a Zero Trust security model aligning with NIST SP 800-207: every user, device, and service interaction is treated as untrusted by default. Access requires continuous authentication, authorization, and policy enforcement – limiting exposure to insider threats or unauthorized access and minimizing the risk of data compromise.

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8. Continuous monitoring and real-time threat detection

Sayvant employs more than 100 independent monitors to continuously assess model performance, data security, and overall system health. Real-time anomaly detection promptly identifies unusual patterns or behaviors, triggering immediate investigation and response. This proactive approach minimizes the risk of data breaches and ensures the uninterrupted availability of critical clinical documentation services.

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At Sayvant, privacy, security, and compliance guide every decision we make. Our clinicians and patients deserve a platform they can rely on to protect their most sensitive information.

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