AI Governance, Continuously Assessed
Continuous assessment across seven AI standards — the EU AI Act, ISO 42001, the NIST AI RMF and its generative-AI profile, the CSA AI Controls Matrix, and the OWASP LLM and machine-learning top tens. Built into the platform rather than bolted on afterwards.
Why AI Compliance Matters Now
AI regulation is here, and most risk teams still cannot say where AI is running in their estate. RTCA closes that gap.
Regulatory Enforcement
The EU AI Act is enforceable. Non-compliance means fines up to 7% of global revenue.
Visibility Gaps
Most risk teams still have no reliable view of where AI is running in their organization.
Board Accountability
AI governance is a board-level concern. Continuous monitoring provides real-time assurance.
Operational Risk
AI systems in production need continuous assessment rather than an annual review.
EU AI Act
Complete risk classification and article-level assessment across all AI system tiers.
Unacceptable
Banned AI practices such as social scoring and real-time biometric mass surveillance
High Risk
Critical infrastructure, education, employment, law enforcement AI systems
Limited Risk
Chatbots, emotion recognition, deepfake generation systems
Minimal Risk
AI-enabled video games, spam filters, inventory management
NIST AI RMF
Mapped to all four core functions.
GOVERN
Organizational context, risk management strategy, and authorities
MAP
AI system context, categorization, and risk identification
MEASURE
Risk analysis, assessment metrics, and monitoring
MANAGE
Risk treatment, incident response, and improvement
ISO 42001
The AI management system standard, with clauses mapped and assessed automatically.
Context of the Organization
Leadership
Planning
Support
Operation
Where your AI actually runs
Managed AI services, self-hosted models and the pipelines feeding them — assessed wherever they sit in your estate.
Managed AI services
- Hosted model endpoints
- Vision and language APIs
- Document and speech processing
- Managed training jobs
Self-hosted models
- Models you run yourself
- Inference servers
- Fine-tuning pipelines
- Model registries and weights
Data and pipelines
- Training and evaluation data
- Feature stores
- Retrieval sources
- Prompt and output logging
Healthcare AI Governance
Specialized assessment for AI systems in healthcare environments.
System Inventory
Complete inventory of all AI/ML systems in clinical and operational use.
Bias Detection
Algorithmic fairness assessment across demographic groups.
Explainability
Model interpretability and decision transparency auditing.
Performance Monitoring
Continuous model drift detection and accuracy tracking.
FDA Compliance
FDA 21 CFR Part 11 assessment for AI-enabled medical devices.
Decision Auditing
Full audit trail for AI-assisted clinical decisions.
Get Ahead of AI Regulation
See how RTCA provides continuous AI governance across your entire organization.
Schedule a Demo