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Security and Compliance

Enterprise Security and Compliance

Trace.Space was designed for regulated industries from the ground up. Not retrofitted for enterprise after the fact. Every deployment mode, every AI feature, every data handling process was built with defense, aerospace, automotive, and medical device security requirements in mind.

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Certifications and Data Privacy Standards

SOC 2 Type 2 compliance badge

SOC 2 Type II

Audited and certified for secure enterprise operations. Controls verified over time, not just at a point-in-time assessment.

ISO certification badge

ISO 27001

Information security management system aligned with international standards. Systematic approach to managing sensitive company information.

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GDPR and CCPA

Full compliance with global data privacy requirements. Customer data protections, data subject rights, and breach notification procedures in place.

Deployment Options: Cloud, VPC, On-Prem, Air-Gapped

Multi-Tenant SaaS

Fully managed infrastructure. Automatic updates, built-in redundancy, SOC 2 certified hosting. SSO integration with Okta, Azure AD, and SAML providers.

Virtual Private Cloud (VPC)

Dedicated infrastructure isolated from other tenants. Data residency controls. Same SSO integration, with additional network isolation guarantees.

On-Premise

Deploy on your own servers, behind your own firewall, under your own security policies. Full control over updates, access, and data handling.

Air-Gapped (Trace.Rack)

Zero external network access. No outside calls. AI inference runs locally on dedicated hardware. Built for programs where data cannot leave the physical building. Trace.Rack ships as a pre-configured hardware deployment ready for air-gapped environments.

Learn About Trace.Rack
Learn About Trace.Rack

AI Data Privacy and Model Control

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No training on customer data

Customer data is never used to train or improve AI models unless explicitly opted in via written addendum.

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Transient inference

Data is not stored, cached, or incorporated into model weights after processing.

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Organization-specific embeddings

Embeddings are isolated by design. Never shared across customers. Never accessible outside your organization.

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BYOM support

Bring your own LLM keys or connect proprietary model endpoints. You control which AI provider processes your data.

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Provider transparency

Trace.Space clearly indicates which AI provider is active at all times. No black-box processing.

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Self-hosted control

For on-premise and air-gapped deployments, your organization controls all AI processing. Nothing leaves your environment.

AI features
AI features

Data Protection, Encryption, and Access Control

Encryption at rest and in transit

AES-256 for stored data. TLS 1.2+ for all communications.

Data isolation

Each customer's data is logically separated with strict access boundaries. No cross-tenant data access.

Role-based access controls

Granular permissions at the project, folder, and item level. Control who can view, edit, review, and approve.

Audit logging

Every action, every access, every change tracked and auditable. Exportable logs for compliance reporting.

Data residency

Choose where your data is stored. Regional deployment options available for organizations with sovereignty requirements.

Regulatory Standards Supported by Industry

Aerospace

DO-178C, DO-254, ARP4754A, AS9100. Audit-ready traceability and coverage analytics that map directly to certification evidence requirements.

Automotive

ISO 26262, ASPICE, ISO 21434. Structured requirements, verification tracking, and process evidence built into daily engineering workflows.

Medical Devices

IEC 62304, ISO 13485, ISO 14971, FDA 21 CFR Part 820. Risk traceability, baseline versioning, and design history file support.

Defense

MIL-STD-961, MIL-STD-881, NIST SP 800-53. Air-gapped deployment, data sovereignty, and access controls that meet the highest classification requirements.

Industrial

IEC 61508, ISO 13849. Functional safety traceability from hazard analysis through verification.

See Industry Use Cases
See Industry Use Cases

Frequently Asked Questions

What’s the difference between Trace.Space’s VPC and on-premise deployment?

Trace.Space’s VPC deployment runs on dedicated infrastructure isolated from other tenants, with data residency controls, the same SSO integration as the SaaS option, and added network isolation guarantees. The on-premise deployment runs on your own servers, behind your own firewall and under your own security policies, so your team controls updates, access, and data handling. If data can’t leave your building, Trace.Rack adds an air-gapped option, with AI inference running locally on dedicated hardware.

How do SOC 2 Type II and ISO 27001 differ for Trace.Space?

SOC 2 Type II and ISO 27001 differ in kind: SOC 2 Type II is a SOC 2 examination that a CPA performs, and ISO/IEC 27001 is the international standard that sets requirements for an information security management system. Trace.Space is audited for SOC 2 Type II, and its controls were verified over time in addition to a point-in-time assessment. Its information security management system is aligned with ISO 27001.

Which security controls protect requirements data in Trace.Space?

Trace.Space protects requirements data with AES-256 encryption at rest, TLS 1.2+ for all communications, and logical separation of each customer’s data with strict access boundaries and no cross-tenant data access. Role-based access controls set who can view, edit, review, and approve at the project, folder, and item level. Audit logging tracks every action, access, and change, and you can export the logs for compliance reporting.

Does Trace.Space use customer data to train its AI models?

No, Trace.Space doesn’t use customer data to train or improve AI models unless your organization opts in through a written addendum. Inference is transient, so your data isn’t stored, cached, or added to model weights after processing, and embeddings stay isolated to your organization. You can bring your own LLM keys or connect your own proprietary model endpoints, and in on-premise and air-gapped deployments your organization controls all AI processing, with nothing leaving your environment.

How does Trace.Space handle data residency requirements?

Trace.Space handles data residency by letting you choose where your data is stored, with regional deployment options for organizations that have sovereignty requirements. The VPC deployment adds data residency controls on dedicated infrastructure isolated from other tenants. When data must stay on your own servers, Trace.Space runs on-premise, or air-gapped through Trace.Rack for programs where data can’t leave the building.

Your Security Team Will Have Questions. We Have Answers.

Request a security review. We will walk your team through our architecture, certifications, and deployment options.

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Get a demo