Your Engineering Data Deserves Enterprise-Grade Protection
Engineering drawings, PPAP packages, process records, and quality documentation contain some of your organization's most sensitive information. AIPQP helps keep that information protected through secure infrastructure, controlled access, organization-level data separation, and responsible AI practices.
Built for automotive, aerospace, manufacturing, and other quality-driven industries, AIPQP gives teams a secure environment for managing critical engineering and quality workflows.
Security at the Core
AIPQP is built with security integrated throughout the platform—from user authentication and document storage to infrastructure monitoring and AI-assisted workflows.
Features marked Available Now are currently part of the platform. Planned capabilities are identified separately so you always know what is available today.
Protected Data Storage
Customer information is secured while stored within the platform. Databases use encrypted infrastructure, and uploaded files are maintained in encrypted cloud storage.
Secure Connections
Information moving between users, AIPQP, and connected services is protected using modern transport encryption. Web sessions, API requests, and document uploads use TLS 1.2 or newer.
Separate Workspaces for Every Organization
Each customer operates within its own organization-scoped environment. Application controls are designed to keep users, documents, records, and workflows separated between organizations.
Controlled User Access
Access is based on authenticated user identity, organization membership, and assigned permissions. Short-lived authentication tokens and role-based controls help limit access to authorized users.
Protected Engineering Files
Uploaded drawings and quality documents are stored in controlled file infrastructure rather than exposed through public file locations. Access is provided through authenticated application requests and authorization checks.
Safeguards Against Data Exposure
AIPQP validates organizational access throughout the application. Data is filtered within the appropriate organizational context to help prevent one customer's information from appearing in another customer's workspace.
Designed with Automotive Security Expectations in Mind
Automotive manufacturers and suppliers often require strong safeguards for confidential engineering, prototype, and quality information. AIPQP's security approach is designed to support alignment with relevant TISAX and VDA ISA expectations.
Our security program includes practices focused on:
- Protecting confidential engineering and quality information
- Supporting controls relevant to prototype and sensitive-data handling
- Establishing clear boundaries for third-party data processing
- Applying access restrictions throughout the application
- Maintaining organization-specific data separation
- Supporting incident response and controlled change-management processes
- Reviewing security controls regularly against relevant TISAX objectives
TISAX status: AIPQP's architecture and operating controls are designed to support TISAX readiness. AIPQP does not represent that it holds a TISAX assessment label unless such a label has been formally issued. TISAX labels are awarded through assessments performed by accredited providers under the ENX Association framework.
Human Oversight for Every AI-Assisted Decision
AIPQP uses AI to support engineering and quality teams—not to replace their judgment or act independently.
AI capabilities may help users review documents, identify potential issues, generate drafts, or provide recommendations. Users remain responsible for evaluating the results and deciding what action to take.
- AI-powered features are identified within the product experience
- AI can assist with analysis, drafting, and quality checks
- Users can review, revise, accept, or reject AI-generated results
- AI does not independently approve quality documentation
- AI does not sign or submit records on behalf of users
- AI processing is limited to the appropriate organization context
- Information from one organization is not used as context for another
- For questions about AI use, transparency, or data handling, contact the AIPQP team.
Secure and Resilient Infrastructure
Segmented Cloud Environment
AIPQP operates on isolated cloud infrastructure with application-level controls designed to maintain clear customer boundaries.
Isolated Application Services
Platform services run in containerized environments with defined resource limits and network restrictions. This approach helps reduce unnecessary exposure between services.
Reliable Data Recovery
Automated database backups support service recovery and continuity. Backup data is retained using encrypted storage controls.
Ongoing Security Maintenance
Operating systems, application components, and third-party dependencies are reviewed and updated through regular maintenance processes. Vulnerability monitoring supports the identification and remediation of security risks.
Availability Protection
Traffic controls, rate limits, and network-level protections help maintain service availability and reduce the impact of malicious or excessive requests.
Continuous Operational Visibility
AIPQP monitors system performance, application health, and relevant security activity. Automated alerts help teams identify and respond to operational or security events.
Privacy and Data Governance
Privacy-Aware by Design
AIPQP applies data-minimization and privacy-by-design principles to personal information processed through the service. The platform supports applicable data rights, including deletion and portability requests.
Engineering Drawing Controls
Engineering drawings remain associated with the organization that uploaded them. Access is restricted through authenticated permissions, while stored content is protected with encryption.
Confidential PPAP Workflows
PPAP documents and related quality records remain within the owning organization's workspace. Authorized users can access information according to their assigned permissions.
Traceable Activity
Key actions across documents and workflows are recorded to support accountability and traceability. Logs may include user attribution, timestamps, document activity, evaluation outcomes, and status changes.
Built for Teams Managing High-Value Technical Information
AIPQP supports organizations that need to protect sensitive quality and engineering information while enabling efficient collaboration.
The platform is designed for:
- Quality teams managing customer-sensitive PPAP submissions
- Engineering groups working with confidential drawings and technical specifications
- IT and cybersecurity teams assessing cloud-based manufacturing software
- Compliance professionals reviewing privacy, security, and industry requirements
- Supplier quality teams collaborating across customers and programs
- Automotive and aerospace teams handling prototype or controlled information
- Enterprise buyers evaluating AI governance and data-processing practices
Responsible Use of AI Data
Customer information is handled with defined boundaries throughout AI-assisted workflows.
AIPQP is designed so that:
- Customer content is not used to train third-party foundation models
- AI requests are processed only to provide the requested platform functionality
- AI processing is limited to the relevant organization and workflow
- Documents from separate organizations are not combined in AI requests
- Customer files, evaluation results, and generated content are not shared for unrelated purposes
- AI-generated content remains within the customer's AIPQP workspace
- The same organization-level permissions apply to AI outputs
- Users remain responsible for reviewing and approving all outcomes
What Happens When You Use an AI Feature
01
Add Your Document
An authorized user uploads a drawing, PPAP file, or quality document to the organization's secure workspace.
02
Submit a Secure Request
The required document content is transmitted through encrypted connections to complete the requested analysis or generation task.
03
Receive AI-Assisted Results
AIPQP returns findings, recommendations, or draft content for the user to examine.
04
Review Before Taking Action
AI results are not automatically treated as approved. Users decide whether to revise, accept, reject, or act on the information.
05
Keep Your Work in Your Organization
Documents and approved outputs remain within the organization's AIPQP environment and continue to follow the platform's access-control policies.
Secure Technology for Critical Quality Work
AIPQP combines secure data handling, organization-level access controls, resilient infrastructure, and human-governed AI to help engineering and quality teams work with confidence.
Your technical information remains yours. Your team remains in control. AI provides assistance—while people remain accountable for every decision.
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