Security & Compliance
MIND is designed for industries where security, auditability, and compliance are non-negotiable. Deterministic builds, cryptographic provenance, and SOC 2-aligned controls.
Security posture
Deterministic builds
Every compilation produces bit-identical output given the same inputs. Enables cryptographic verification of build artifacts and supply chain integrity.
Cryptographic provenance
Build manifests include SHA256 hashes of source code, dependencies, and compiler version. Full chain-of-custody for model artifacts.
Memory safety
Rust-inspired ownership model prevents buffer overflows, use-after-free, and data races. No unsafe pointer arithmetic in user code.
Audit logging
Commercial runtime includes structured audit logs for compilation events, deployments, and inference calls.
Vulnerability disclosure
Coordinated disclosure process for security issues. CVE assignment and patch releases following best practices.
Dependency scanning
Automated scanning of compiler dependencies for known vulnerabilities. SBOM (Software Bill of Materials) generation for compliance reporting.
Compliance framework alignment
MIND's deterministic execution and audit logging are designed to support compliance with regulatory frameworks for ML systems.
SOC 2 Type II
MIND Cloud (hosted control plane) is undergoing SOC 2 Type II audit. Security, availability, and confidentiality controls aligned with AICPA standards.
HIPAA
On-premises and VPC deployments support HIPAA-compliant ML pipelines. Business Associate Agreement (BAA) available for covered entities.
ISO/IEC 27001
Information security management system (ISMS) aligned with ISO 27001 controls. Certification planned for hosted offerings.
GDPR & Data Privacy
Data Processing Agreement (DPA) available for EU customers. Support for data residency requirements and right-to-deletion workflows.
Auditability features
Build reproducibility
Deterministic compilation ensures that the same source code, compiler version, and dependencies always produce identical binaries. Critical for validating model artifacts in regulated environments.
- SHA256 hashing of build outputs
- Lockfile-based dependency pinning
- Compiler version manifests
Execution traces
Commercial runtime captures structured logs of model execution: inputs, outputs, timestamps, and resource usage. Enables compliance audits and incident investigation.
- Request-level tracing with correlation IDs
- Tamper-evident log storage
- Export to SIEM systems (Splunk, Datadog, etc.)
Model versioning & lineage
Track model lineage from training data to deployed artifacts. Full provenance graph for A/B testing, rollback, and regulatory submissions.
- Git-based source versioning
- Immutable artifact registry
- Training run metadata (dataset hashes, hyperparameters)
Compliance reporting
Automated generation of compliance artifacts: SBOMs, vulnerability reports, and access logs. Integration with governance, risk, and compliance (GRC) platforms.
- CycloneDX SBOM export
- CVE tracking and remediation workflows
- Audit-ready report templates
Security vulnerability disclosure
We take security seriously. If you discover a security vulnerability in MIND, please report it responsibly.
How to report
Email security reports to security@star.ga. Please include:
- Description of the vulnerability
- Steps to reproduce
- Affected versions (if known)
- Your contact information for follow-up
We aim to acknowledge reports within 48 hours and provide a timeline for remediation. Coordinated disclosure: we ask that you do not publicly disclose until we have issued a patch.
Technical security documentation
For technical details on MIND's security architecture, see the full documentation.
View security docsQuestions about security or compliance?
Contact our team to discuss your specific security and compliance requirements.