Governance
Running AI in production is a serious decision. We make it safer to run.
Every layer of AIXIOM Intelligence is built around three governance commitments: control over what AI can do, traceability over what it has done, and human oversight over what it will do. Built in. Not bolted on.
AI safety commitments
Trust is not a feature. It is the Foundation.
Every decision is explainable. Every action is bounded. Every agent is validated.
Trust by architecture, not by promise
Security and Governance built into the stack, not bolted on top.
AIXIOM Intelligence enforces security and governance at every level of the stack — runtime boundaries that contain every interaction, paired-agent validation that checks every action, and full lifecycle control over the models themselves. None of this is bolted on; all of it is built into the architecture.
Agent
Check between actionsTask AgentExecution→Validation AgentVerification→OrchestrAIExecution Coordinator
↻ Failed validations retry up to 3 times before escalation
Model
Control inside the lifecycle01Data Ingestion02Model Training03Model Validation04Model Registry & Versioning05Drift Detection
COMPLIANCE & REGULATORY ALIGNMENT
Designed to support global compliance standards.
Built with the controls, data handling practices, audit capabilities, and governance architecture that these standards require.
HIPAA
ePHI handling controls, access logging, minimum necessary access, audit trail completeness, and encryption requirements are designed into the platform architecture.
SOC 2 Type II
Security, availability, and confidentiality trust service criteria are addressed through platform architecture. Formal SOC 2 Type II audit engagement is on the roadmap.
GDPR
Data minimization, purpose limitation, access controls, audit trail requirements, and data subject rights processes are addressed in the platform architecture.
FCA and financial regulations
Access anomaly detection, transaction system availability controls, audit completeness, and operational resilience requirements for FCA-regulated environments are addressed.
ISO 27001 alignment
Information security management controls including access governance, incident response, vulnerability management, and audit logging are implemented in alignment with ISO 27001 Annex A.
EU AI Act readiness
Explainability outputs, human-in-the-loop controls, audit trails, model documentation, and governance architecture are designed with EU AI Act high-risk AI system requirements in mind.
PLATFORM INFRASTRUCTURE & RELIABILITY
Azure-native. Isolated.
Continuously hardened.
Aixiom Intelligence is built natively on Microsoft Azure — inheriting enterprise-grade infrastructure controls, network isolation, and compliance certifications.
01Azure-native architecture
The system is built on core Azure services and benefits from Microsoft’s enterprise-grade compliance standards.
AKS · ADLS Gen2 · Databricks · Azure DDoS
02Network isolation and segmentation
Services run in private Azure VNet with private endpoints and blocked public access.
VNet isolation · Private endpoints · NSG rules
03Secure CI/CD pipeline
Code merges require clean linting, static analysis, security scans, and dependency checks.
Zero warnings CI · SAST scanning · Dependency review
04Observability and logging
Structured logs capture context; AI calls log model, tokens, latency, and cost.
Structured logs · Azure Monitor · App Insights
05Vulnerability and patch management
Images and dependencies are scanned, rebuilt, reviewed, tested, and updated within SLAs.
Container scanning · Patch SLAs · Image rebuild cadence
06Incident response and recovery
Playbooks cover security, exposure, model degradation, and failures with defined recovery targets.
Response playbooks · Defined RTOs · Post-incident reviewENGAGEMENT PATHWAY
Discuss your security and compliance requirements.
Every enterprise evaluation involves security and compliance questions that go beyond what a public page can address. Our engineering and compliance team is available for detailed technical discussions.