Upon request, datascalehr provides third-party certifications, audit reports, and compliance summaries. Additional information is available to supervisory authorities when required.
How can customers verify datascalehr’s compliance?
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FAQs
What platform does datascalehr use for security?
datascalehr is built on the Mendix platform (Siemens subsidiary), which provides enterprise-grade security with ongoing compliance audits and certifications including ISO 27001 and SOC2 compliance.
What compliance frameworks does datascalehr follow?
datascalehr complies with GDPR (EU, UK, Swiss), and applicable US data protection laws including HIPAA, COPPA, GLBA, FCRA, FERPA, and CCPA.
Does datascalehr use third-party processors for client data processing?
Yes. Siemens AG and Amazon Web Services (AWS) .
Who should be contacted about potential data breaches?
Any potential data breach must be immediately reported to Luke Zawadzki, VP Engineering, at luke.zawadzki@datascalehr.com.
How are data breaches handled?
datascalehr follows a formal breach notification protocol, promptly investigating incidents, taking mitigation steps, and notifying affected individuals and authorities as required by applicable laws.
How does KMod™ maintain privacy across customers?
When KMod™ knowledge is shared across datascalehr systems for industry insights, all information that could identify the source is stripped away.
Does datascalehr send confidential data to external AI providers?
No. datascalehr uses multiple LLMs including those from Anthropic, OpenAI, Mistral and Meta for certain analyses, but only sends header and contextual data. No confidential client data is ever sent...
What data categories are processed by AI systems?
Four categories: Confidential (internal only), Header (internal + external LLM), Contextual (internal + external LLM), and Behavioral (internal only + external LLM). Confidential data never leaves...
What is KMod™ and does it contain confidential data?
KMod™ is datascalehr's proprietary knowledge model that provides intelligent suggestions for data processing tasks. It contains only contextual, categorization, and behavioral information - no...
Does datascalehr train its AI on my confidential or personal data?
No. Our ML model improves accuracy for all clients through pattern recognition from aggregated rules. This creates compounding value as your predictions become more accurate over time without...
How is data destruction handled?
datascalehr relies on AWS to securely delete data from physical media when devices are replaced or recycled, following AWS compliance protocols for secure data deletion.