Security and trust

Security built for healthcare.

Healthcare AI demands trust, accountability, and responsible protection of sensitive information. AmbiScript and AmbiSignal bring security-conscious design and human oversight to clinical and operational workflows, helping healthcare organizations evaluate and adopt AI with confidence.

Locked hospital workstation beside a badge-controlled IT room, with clinicians in the corridor

01 · Security foundation

Trust by design.

Security is fundamental to how healthcare organizations evaluate and deploy AI technology.

Our approach centers on protecting sensitive information, managing access, governing AI data use, and supporting appropriate oversight throughout the technology lifecycle.

Our security principles

Protect sensitive informationPrioritize safeguards for healthcare information throughout its lifecycle.
Control accessSupport appropriate access boundaries and authorization requirements.
Govern AI processingEvaluate how information is processed, retained, and handled by AI services and infrastructure providers.
Maintain accountabilityPreserve human oversight, operational responsibility, and transparent security governance.

02 · Data protection

Protecting healthcare information.

Healthcare information requires appropriate safeguards from the moment it enters a system through processing, storage, and eventual deletion.

  1. Healthcare data
  2. Controlled access
  3. Protected processing
  4. Governed storage
Conceptual illustration, not a representation of verified system architecture.
Encryption and data securityEncryption and data protection requirements are evaluated across information transmission, storage, and processing environments.
Identity and access controlAuthentication, authorization, and role-based access requirements are evaluated to help restrict sensitive information to appropriate users.
Data isolation and retentionCustomer data separation, retention, and deletion requirements are addressed through applicable architecture, policies, and deployment arrangements.
Auditability and monitoringLogging, monitoring, and oversight requirements are evaluated to support traceability, security review, and accountability.

03 · Responsible AI

Intelligence with human oversight.

AI should support healthcare professionals and organizational leaders without replacing their judgment or accountability.

Clinical intelligence · AmbiScript

AmbiScript supports clinical documentation and workflow coordination while keeping clinicians responsible for reviewing and approving clinical outputs.

  1. AI assistance
  2. Clinician review
  3. Approved action
Operational intelligence · AmbiSignal

AmbiSignal supports operational prioritization, issue coordination, and follow-through while maintaining leadership accountability for decisions and interventions.

  1. Operational signal
  2. Assigned owner
  3. Tracked follow-through
Responsible data useCustomer data use, AI processing permissions, and third-party service arrangements are governed by applicable agreements and data-handling requirements.

04 · Security operations

Security beyond deployment.

Security is an ongoing responsibility that extends beyond initial technology deployment. Our security approach addresses four essential areas.

  1. 01Risk and vulnerability managementEvaluate security risks, technical vulnerabilities, and potential exposures across systems and dependencies.
  2. 02Security monitoringEstablish appropriate visibility into security events and activities requiring investigation.
  3. 03Incident responseDefine procedures for security event assessment, escalation, response, and applicable notification obligations.
  4. 04Operational resilienceAddress system availability, business continuity, recovery needs, and critical operational dependencies.

05 · Privacy and compliance

Aligned with healthcare requirements.

Healthcare organizations operate within demanding privacy, security, and regulatory environments. Our approach considers applicable legal obligations, contractual requirements, and recognized security frameworks.

HIPAAHIPAA and protected health informationDeployments involving protected health information are evaluated against applicable HIPAA requirements, including administrative, physical, and technical safeguards and Business Associate Agreement obligations.
FrameworksSecurity frameworks and assuranceRecognized security frameworks, including SOC 2 Trust Services Criteria, inform the evaluation and ongoing development of security controls.
42 CFR Part 2Sensitive health informationWorkflows involving specially protected information, including records subject to 42 CFR Part 2 where applicable, require additional privacy, consent, and disclosure considerations.
GovernanceEnterprise security governanceCustomer-specific requirements involving data handling, access, integrations, and organizational policies are addressed during enterprise solution evaluation.

06 · Enterprise assurance

Transparency for enterprise trust.

Healthcare organizations need confidence in how technology handles sensitive information before implementation.

We support security and compliance due diligence across the areas that matter most to enterprise buyers.

Security review materials are shared as appropriate to the evaluation scope and confidentiality requirements.

  • Security architecture and data flows
  • Protected health information handling
  • Identity, authentication, and access requirements
  • AI processing and third-party dependencies
  • Data retention and lifecycle management
  • Integration and deployment safeguards
  • Contractual and regulatory obligations
  • Available security documentation and supporting evidence

Frequently asked questions

How does AmbiScript protect sensitive healthcare information?

Our security approach prioritizes data protection, access governance, responsible processing, and applicable enterprise security requirements.

Does AmbiScript support HIPAA requirements?

Deployments involving protected health information are evaluated against applicable HIPAA obligations, including safeguard requirements and Business Associate Agreements.

Is patient information used to train AI models?

Customer data use and AI training permissions are governed by applicable agreements and approved processing arrangements. To see exactly how customer data, including protected health information, is handled with respect to model training, request a security review and we will share our data-use policy.

How is AI-generated information reviewed?

AmbiScript supports clinician review and approval of clinical outputs. AmbiSignal maintains human accountability for operational decisions and interventions.

Can our security team review technical documentation?

Yes. Organizations can request a security review covering relevant architecture, data handling, safeguards, and available supporting documentation.

Get started

Security questions deserve clear answers.

Evaluate the security, privacy, and compliance requirements that matter to your organization. Connect with our team to review our approach, discuss deployment requirements, and request available supporting documentation.