HOPPR™ AI Foundry Achieves HITRUST e1 Certification

Certification validates that HOPPR’s platform is meeting rigorous cybersecurity and data protection standards through independent assessment and assurance, building on the company’s recent SOC 2 Type II attestation.

HOPPR, a company focused on transforming how AI is developed for medical imaging, today announced its platform HOPPR™ AI Foundry has earned e1 certified status from HITRUST for cybersecurity and information protection.

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HITRUST e1 Certification demonstrates that HOPPR™ AI Foundry has met requirements defined by leading cybersecurity and regulatory frameworks, confirming that strong controls are in place to protect sensitive data and manage risk effectively.

Built on the HITRUST Assurance Program, this achievement reflects independent third-party testing, centralized quality assurance, and certification backed by HITRUST’s Cyber Threat-Adaptive engine. These elements ensure continuous alignment with the latest threat intelligence and evolving standards across NIST, ISO, and OWASP.

“As our HOPPR AI Foundry platform grows, so does our responsibility to maintain rigorous security controls,” said Trever Falconi, Director, IT Security and Operations at HOPPR. “Achieving HITRUST Certification reflects the discipline we’ve built into our operations and our ongoing commitment to protecting sensitive data and maintaining trust for those we serve.”

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“Earning HITRUST Certification demonstrates HOPPR’s commitment to managing information risk and protecting sensitive data through a rigorous, proven assurance process,” said Gregory Webb, CEO of HITRUST. “This achievement reflects the organization’s proactive approach to cybersecurity and trust.”

The company also announced it has achieved SOC 2 Type II attestation, an independent validation that the company’s security controls are appropriately designed and operating effectively over time. The attestation provides third-party assurance that HOPPR maintains structured safeguards to protect customer environments and sensitive data.

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