Customer-tenant deployment
Workloads target your AWS, Azure, or GCP accounts (or equivalent private estate), not a multi-tenant InheritX SaaS that reuses your data across customers.
Security & Compliance
Security practices for private, production AI.
How InheritX approaches identity, data boundaries, private deployment, and honest compliance language, without claiming certifications we have not earned.
Perspective
What we commit to, and what we do not claim
Enterprise buyers deserve precise language. InheritX designs AI systems for private deployment, attributable actions, and customer-controlled data boundaries. We use phrases such as GDPR-aligned practices and HIPAA-ready architecture patterns when they describe how we build, not as substitutes for formal certifications.
If a specific attestation, questionnaire answer, or certificate is required for your procurement process, we will state clearly whether we hold it today, are pursuing it, or will support your review with architecture evidence and contractual controls.
Certification status is shared factually during vendor diligence, we do not publish blanket certification claims on this site without evidence.
Capabilities
Security design defaults
These are the patterns we apply on production AI engagements unless your estate requires a documented exception.
Least-privilege access
Engagement access uses time-bound identities, scoped roles, and your approval processes for production systems and sensitive data stores.
Secrets and configuration hygiene
Secrets stay in your vaults/KMS patterns; we avoid embedding credentials in source and prefer infrastructure-as-code you can audit.
Auditability for AI actions
Agent and generation workflows are designed with traces, approval gates for high-risk tools, and retention aligned to your policy, not opaque chat logs.
No public-model training on your proprietary data
InheritX does not use your proprietary corpora, prompts, or fine-tunes to train public foundation models.
Dual view
Compliance language we use carefully
Appropriate claims
GDPR-aligned practices for data minimization, purpose limitation, and processor/controller clarity in contracts.
HIPAA-ready architecture patterns for healthcare workloads (private estate, access control, audit logging), when the engagement scope requires them.
NDA-protected discovery and diligence discussions on request.
Support for your vendor security questionnaire with factual answers.
Claims we avoid unless true
- “HIPAA certified” or “GDPR certified” as InheritX entity claims without evidence
- Implied formal partnership status with model or cloud vendors
- Guarantees that every workload is automatically compliant in every jurisdiction
- Security theater language disconnected from how systems are actually deployed
FAQ
Security questions
In your designated cloud projects/subscriptions and approved environments. We do not require a shared InheritX multi-tenant data lake for delivery.
No. Proprietary data, fine-tunes, and interaction logs from your program are not reused to train systems for other customers or public models.
Yes. Blueprint and consulting phases are designed to survive CISO review. Bring your questionnaire, we answer factually and flag gaps honestly.
Next step
Map this capability to your mandate.
A focused strategy conversation, constraints, systems, and what production readiness looks like for your organization.