Strict Compliance &
Zero-Trust Security by Design
PsyData Labs L.L.C. is in its startup phase. Rather than treating compliance and security as retroactive add-ons, we are designing our foundational software native runtimes, data lakes, and AI models to strictly conform to the highest global benchmarks from day one. Services are currently in development and coming soon.
Our Zero-Trust Technical Pillars
Every layer of our infrastructure is engineered to enforce explicit verification, least-privilege access, and cryptographic immutability.
FIPS 140-3 Cryptography
Standardizing on hardware-isolated AES-256-GCM encryption at rest, TLS 1.3 Strict in transit, and Ed25519 asymmetric digital signatures across all microservices and edge communication channels.
Phishing-Resistant WebAuthn
All privileged system access and administrative actions require FIDO2/WebAuthn hardware security keys. Passwords, SMS tokens, and insecure authentication vectors are strictly prohibited by architecture.
Merkle Audit Hash-Chains
System events, data provenance records, and access logs are appended to an immutable Merkle tree structure. Any retroactive tampering breaks mathematical integrity immediately and automatically triggers isolation.
Zero PII / PHI Retention
Telemetry pipelines automatically sanitize, anonymize, and air-gap sensitive identifying data at the edge. Our behavioral algorithms train exclusively on zero-knowledge entropy without storing raw personal information.
Compliance Alignment & Standards Roadmap
How PsyData Labs L.L.C. is systematically implementing and adhering to the six critical compliance frameworks:
| Compliance Standard | Core Scope & Objective | Startup Implementation Focus | Target Status |
|---|---|---|---|
| SOC 2 Type II | Trust Services Criteria for Security, Availability, and Data Confidentiality across cloud and bare-metal nodes. | Automated continuous evidence collection, role-based access control, encrypted backups, and disaster recovery orchestration. | Roadmap Active |
| ISO / IEC 27001 | Information Security Management System (ISMS) specifying governance, asset management, and risk assessments. | Establishing formal security policies, vendor risk management frameworks, and secure software development lifecycles (SDLC). | ISMS Baseline |
| ISO / IEC 42001 | The premier international standard for Artificial Intelligence Management Systems (AIMS) and ethical AI governance. | Integrating automated data lineage tracking, continuous bias testing, algorithmic explainability, and human-in-the-loop oversight. | AIMS Foundation |
| GDPR & UK GDPR | General Data Protection Regulation governing data subject rights, consent, transfer safeguards, and privacy by design. | Strict data minimization, automated erasure mechanisms, explicit granular consent models, and zero cross-border leakage. | Privacy by Design |
| HIPAA Safeguards | Health Insurance Portability and Accountability Act technical, administrative, and physical security safeguards. | Air-gapping psychological/behavioral signals, implementing hardware-level access controls, and encrypting all stored telemetry. | Safeguards Active |
| NIST AI RMF | National Institute of Standards and Technology Artificial Intelligence Risk Management Framework (Govern, Map, Measure, Manage). | Embedding pre-deployment risk assessments, adversarial robustness evaluations, and transparent model documentation. | RMF Integration |
Responsible Security Disclosure
PDL welcomes collaboration with the global security and cryptographic research community. If you believe you have identified a security vulnerability in our pre-release repositories, worker endpoints, or infrastructure, please disclose it responsibly under our safe harbor policy.