Welcome to innovaccer's Trust Center

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.

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
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

IN PROGRESS

Self-Service Document Center

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

All

Security

Ethics & Compliance

Privacy

Reliability

Coming Soon

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)

Coming Soon

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 relationship(s)

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 (constituent health outcomes, patient experience, and provider experience while reducing costs)

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.)
  • Avoid development of SaMD (Software as a Medical Device) requiring FDA oversight when possible or seek appropriate internal guidance how to best to align with Innovaccer’s FDA positioning

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

For Autonomous Agents:

  • Limit scope to administrative, operational, and clinical tasks that can be delivered safely
  • Apply confidence thresholds that trigger human review when uncertain

For Copilots:

  • Support, don't replace licensed or credentialed healthcare provider decision-making
  • Present recommendations with rationale enabling informed human judgment
  • Keep humans as final gatekeepers of all clinical and high-risk administrative decisions

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
  • Maintain accessible information about AI limitations and intended use

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.

Reporting hotlines:

U.S.: 800-852-8002  |  India: 000-800-050-4644  |  UAE: 800-032-0413