AI Architecture & Readiness
AI initiatives often fail due to architectural misalignment rather than model performance. We evaluate and design AI architectures with attention to system boundaries,
dependencies, data flows, integration constraints, and operational scaling requirements.
- Architecture assessment and readiness review
- Dependency mapping and boundary definition
- Target architecture guidance for AI-enabled systems
- Operational fit and scaling considerations
AI Security & Risk
AI introduces security and governance risks that traditional controls do not fully address. We advise on risk identification, mitigation, and operational alignment across AI deployments.
- Model and prompt exposure risk
- Data leakage and access control
- Third-party and vendor dependency risk
- Auditability and incident response readiness
Observability & Self-Healing Systems
AI systems increase failure modes while reducing transparency. We advise on telemetry strategy, monitoring design, failure detection and containment patterns, and foundations for automated responses.
- Telemetry strategy for AI-enabled workloads
- Monitoring, alerting, and SLO design
- Failure containment and resilience patterns
- Foundations for automated or self-healing responses
Advisory & Governance
Effective AI governance balances innovation with accountability. We support policy development, oversight models, and alignment between technical, security, and compliance stakeholders.
- AI policy and control frameworks
- Risk registers and oversight models
- Executive and board-level readiness support
- Operational maturity and accountability structures
How engagements are structured
Noctua Logic operates as an advisory partner. Engagements are typically structured as short-form assessments,
targeted architecture/risk advisory, or retained oversight.
Contact Noctua Logic