Trust Center

We maintain the highest standards of security, privacy, and compliance to protect sensitive healthcare information. Explore our comprehensive security framework and compliance certifications.

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Built on Five Pillars of Trust

Our comprehensive approach to security and compliance ensures your healthcare data is protected at every level.

Security

Enterprise-grade security with 256-bit encryption and defense-in-depth architecture

Privacy

Privacy-by-design principles with granular access controls and data minimization

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Compliance

HIPAA, HITRUST CSF, SOC 2, and ISO 27001 certified with continuous monitoring

Reliability

99.9% uptime SLA with redundant infrastructure and disaster recovery

Data Residency

Global data centers with local compliance and sovereignty requirements

Certifications & Compliance

We maintain industry-leading certifications and undergo regular third-party audits to ensure compliance.

Attested

VERIFIED

Certified

Validated

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IN PROGRESS

Self-Service Document Center

Access our comprehensive library of security documentation, compliance reports, and privacy materials.

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Security

Ethics & Compliance

Privacy

Reliability

All Documents

• Innovaccer Code of Conduct - PDF • 198 KB
  Download
• Conflicts of Interest Overview for Workforce Members and Vendors - PDF • 2.1 MB
  Download
• 2025 HITRUST r2 Cert. Letter - PDF
  Request Access
• Innovaccer Ethics & Compliance Program Overview - PDF
  Download
• Innovaccer SOC 2 + HIPAA Report - PDF
  Request Access
• ISO 27001:2022 Certificate - PDF
  Request Access
• SOC 2 Bridge Letter - PDF
  Request Access

Sub-Processors

• Jira/Atlassian
• RHACS (Stackrox) Agent
• Rhapsody
• Microsoft
• Snowflake
• Google
• AWS
• SendGrid
• Twilio
• Fullstory
• MixPanel
• New Relic
• Innovaccer Analytics Pvt.Ltd (India)
• Innovaccer Health Limited (UAE)

Enterprise-grade security and compliance at its core

We don’t train our models on your data

Defense in Depth Architecture

Multiple, independent layers of defense to safeguard your assets

End-to-End Encryption

AES-256 encryption for data at rest and TLS 1.3 for data in transit.

Role-Based Access Control

Granular permissions ensure users only access what they need.

Core Principles

Our AI governance is built on four foundational principles that guide all product development and deployment decisions:

Evidence-Based, Real-World Applications

• Innovation priorities align with the quadruple aim in healthcare.
• Clinical decisions remain the domain of licensed or credentialed healthcare providers.
• AI serves as a tool that enhances rather than replaces licensed professional judgment.
• AI applications will be aligned based on constituent relationships.

Responsible Innovation

• AI applications have clearly defined purpose and scope.
• Development balances advancement with appropriate ethical safeguards.
• Compliance with applicable laws and regulations and adhering to industry standards where appropriate.

Transparency and Trust

• Clear disclosure of AI involvement to all stakeholders.
• Explainable rationale for AI-generated output.
• Honest communication about capabilities and limitations.

Continuous Oversight and Continuous Learning

• Regular monitoring of performance and outcomes.
• Proactive identification and mitigation of emerging risks.
• Commitment to ongoing improvement based on real-world use.

Governance Framework

Governance Framework describes the steps Innovaccer takes when developing and deploying AI-enabled solutions consistent with or in the spirit of an industry standard or framework.

Impact and Risk Assessment

• Categorize each AI application by impact level (4-tier system) based on patient (or user) safety, workflow disruption, and decision consequence at demo and pre-launch phases.
• Implement specific safeguards proportional to the identified risk level for each application (e.g., deploy as copilot vs autonomous agent; escalation paths; audit trails).
• Review and update assessments when significant changes are made to the AI application.
• Assess alignment of AI applications with evidence-based practices for addressing the quadruple aim in healthcare.

Fit for Purpose and Design

• Clearly document intended uses and limitations for all AI applications.
• Validate performance metrics specific to select use cases before deployment with test scenarios.
• Ensure compliance with applicable laws, regulations, and standards (HIPAA, anti-bias, etc.).

Human Oversight Model

• Maintain complete audit trails for all AI applications regardless of whether it was a human or agentic decision or action.
• Establish clear escalation protocols for edge cases and exceptions as well as routine uses deviating from expected behavior.

Transparency

• Disclose AI involvement appropriately for the use case and industry best practice.
• Document data sources used in training and operation of AI applications.
• Provide understandable explanations of how AI arrives at suggestions based on the end user.

Monitoring and Improvement

• Track key performance indicators (or proxies) specific to each AI application.
• Establish incident response procedures for different severity levels.
• Collect and analyze feedback from users to drive continuous improvement.

Connect with our compliance and security team.

Questions about Our Security and Our Compliance Program?

Reach out to
security@innovaccer.com
or
compliance@innovaccer.com
respectively.