Security Built for Manufacturing Quality Data
Your PPAP submissions, engineering drawings, and process data represent critical intellectual property. AIPQP is architected to protect it with the controls OEMs, primes, and Tier 1 suppliers demand across automotive, aerospace, and regulated industries.
Key Capabilities
Capabilities marked Available today ship in AIPQP now. Coming soon items are on the roadmap and labeled clearly.
Encryption at Rest
Customer data is encrypted at rest. Production databases run on encrypted block storage, and uploaded files and documents are stored in object storage encrypted at rest. Encryption keys are managed by the infrastructure provider.
Encryption in Transit
Every connection to AIPQP is secured with TLS 1.2 or higher. All API calls, file uploads, and browser sessions are encrypted end-to-end between your device and our infrastructure.
Organization-Scoped Isolation
Multi-tenant architecture enforces strict organization-level data isolation. Every database query is scoped by organization ID, preventing cross-tenant data access.
Authentication and Access Control
JWT-based authentication with short-lived tokens. Role-based access control ensures users only access data within their organization and permission level.
Secure File Storage
Uploaded documents and drawings are stored in access-controlled file storage, separate from application data. Files are only accessible through authenticated API endpoints with proper authorization checks.
No Cross-Tenant Data Leakage
Strict query-level enforcement prevents data from one organization from ever appearing in another organization's context. Every API endpoint validates organization membership before returning results.
TISAX Compliance Readiness
TISAX is the automotive industry's standard for information security. Our platform architecture is designed to align with TISAX requirements so that your quality data is handled with the level of protection your customers expect.
- Information Security Management aligned with VDA ISA catalog requirements for confidential quality and engineering data
- Prototype and confidential data protection controls aligned with TISAX Assessment Levels 2 and 3 expectations
- Third-party data processing controls with clear data handling boundaries and processing agreements
- Access control policies enforced at the application layer with organization-scoped data isolation
- Incident response and change management processes aligned with VDA ISA control objectives
- Regular internal assessments against TISAX control objectives to maintain compliance readiness
Note: "TISAX-ready" indicates architecture and controls aligned with TISAX requirements. TISAX assessment labels are issued by accredited audit providers through the ENX Association.
AI Transparency and the EU AI Act (Article 50)
AIPQP is decision-support software with a human accountable for every output. It does not approve, sign, or submit quality records on your behalf.
- The interface indicates when you are using an AI feature
- AI drafts, analyzes, checks, and suggests — humans accept, edit, or reject
- AI context stays organization-scoped; no cross-tenant prompt mixing
- Questions about AI transparency can be directed to the AIPQP team via Contact
Infrastructure Security
Isolated Hosting
Application infrastructure runs on dedicated, isolated cloud resources with strong tenancy boundaries at the application layer.
Container Isolation
Services run in isolated containers with resource boundaries and network policies to minimize attack surface.
Automated Backups
Database backups run on automated schedules with encrypted retention so recovery is possible when needed.
Security Updates
Regular patching cycles for operating systems, runtimes, and dependencies with continuous vulnerability scanning.
DDoS Protection & Rate Limiting
Network-level mitigation and application-layer rate limiting protect availability for legitimate users.
Monitoring and Alerting
Continuous monitoring of application health, performance metrics, and security events with automated alerting.
Privacy and Industry-Specific Controls
GDPR Readiness
Data minimization, right to deletion, data portability, and privacy-by-design practices for personal data processed in the service.
Engineering Drawing Protection
Uploaded drawings are access-controlled per organization, stored encrypted at rest, and processed for AI evaluation under authenticated APIs.
PPAP Document Confidentiality
PPAP data is encrypted at rest, scoped to the owning organization, and only accessible by authorized team members.
Audit Trail
Document changes, evaluation results, and status updates are logged with timestamps and user attribution for audit readiness.
Built for teams that protect sensitive quality IP
- Quality leaders responsible for PPAP and drawing confidentiality with OEM customers
- IT and security teams evaluating SaaS vendors for manufacturing quality data
- Compliance officers aligning with TISAX-ready, SOC 2 aligned, and GDPR expectations
- Supplier quality managers sharing portals without exposing other customers' data
- Aerospace and automotive program managers handling prototype and confidential drawings
- Enterprise buyers needing clear AI data handling and human accountability statements
How AIPQP handles AI data responsibly
- AI processing uses leading foundation model APIs that do not use customer data for model training
- Documents sent for evaluation or generation are processed in real time and are not retained by the AI provider after the response is returned
- AI context is strictly scoped to your organization — documents from one organization are never included in prompts for another
- No customer data — including uploaded documents, evaluation results, or generated content — is used to improve third-party AI models or shared outside processing needs
- Source document content stays within your organization's boundary; AI-generated outputs are stored in your workspace under the same access controls
- A human remains accountable for every output — AI drafts, analyzes, checks, and suggests; it does not approve, sign, or submit on your behalf
How it works
Step 1
You upload a document
Authenticated users upload within their organization boundary.
Step 2
Encrypted API processing
The document is sent over TLS to AI processing for evaluation or generation.
Step 3
AI returns results
Drafts and findings come back for human review—not auto-approval.
Step 4
No training on your content
Provider processing does not use your documents to train foundation models.
Step 5
Stored in your workspace
Accepted outputs remain under the same org-scoped access controls.
Frequently Asked Questions
Is AIPQP TISAX certified?
AIPQP's architecture and controls are designed to align with TISAX / VDA ISA expectations for handling confidential quality and engineering data. "TISAX-ready" indicates alignment of controls and readiness posture. Formal TISAX assessment labels are issued by accredited audit providers through the ENX Association.
How is multi-tenant isolation enforced?
Every data access path is scoped by organization. Database queries, file access, and API responses validate organization membership before returning results, so one tenant cannot read another tenant's documents, assessments, or PPAP packages.
Does AI training use our quality documents?
No. Customer documents processed for evaluation or generation are not used to train or fine-tune AI models. Processing is real-time, organization-scoped, and outputs remain under your workspace access controls.
How does AIPQP address EU AI Act transparency?
AIPQP is positioned as decision-support software with a human accountable for every output. The product discloses when you are interacting with AI, and AI-generated content is intended to be reviewed, edited, or rejected before it becomes a quality record or customer submission.
Who can I contact about security reviews?
We welcome security reviews and can provide additional documentation or data processing agreements for enterprise customers. Contact the AIPQP team via the contact page or info@aipqp.com to request a security discussion.
Questions about security?
We welcome security reviews and are happy to discuss data processing agreements or arrange a call for your organization's requirements.
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