Enterprise security. Compliance-ready architecture.
SynTraktX™ is built with audit-first principles, enterprise-grade security controls, and alignment to the most rigorous compliance frameworks in regulated industries.
Tamper-Evident Audit Trail
Every action logged with cryptographic hash chain integrity verification. Detect any modification, deletion, or reordering.
API Key Lifecycle Management
Database-backed key management with secure hashing, rotation, revocation, and expiry tracking.
Role-Based Access Control
Multi-tenant isolation with per-key roles, timing-safe authentication, and tenant boundary enforcement.
Rate Limiting & DDoS Protection
Per-IP rate limiting with sliding window, automatic Retry-After headers, and health endpoint exemptions.
Encryption at Rest
Application-level column encryption for sensitive data fields with symmetric key management.
PHI Boundary Enforcement
HIPAA-compliant data boundary enforcement strips, hashes, or redacts protected health information at all persistence points.
Built for the frameworks that matter
Information Security, Access Control, Change Management, Incident Response, BC/DR, Data Classification, Risk Assessment, Vendor Management, Acceptable Use, Security Training
Security Rule mapping with remediation roadmap for covered entities and business associates
Comprehensive AIMS framework with 24/24 controls applicable, covering AI policy, impact assessment, model documentation, and human oversight
Progressive trust architecture maps directly to EU AI Act risk tiers and transparency obligations
AI Governance Documentation
AI Governance Policy
Documented governance principles: earned trust, human oversight, transparency, fairness, and adversarial integrity. AI systems must demonstrate reliability before receiving automation authority.
Human Oversight Framework
Five-stage trust progression from observation to full autonomy. Humans retain decision authority at every governance boundary. Oversight scales inversely with demonstrated trust.
AI Impact Assessment
Proactive risk assessment across all AI systems and eight industry verticals. Evaluates autonomy levels, bias risk, privacy impact, safety implications, and data protection.
AI Model Documentation
Three core ML models fully documented with intended use, training methodology, performance characteristics, known limitations, fairness considerations, and failure modes.
Controls Implementation
24 of 24 ISO 42001 Annex A controls applicable. 16 implemented, 6 in progress, 2 planned. Full Statement of Applicability maintained with implementation references.