Trusted AI Architecture & Responsible Systems Engineering
Design and Validate AI Systems with Governance, Security, and Compliance Built In
We help organizations of all sizes design, review, and operationalize AI systems with embedded governance, risk, and compliance from the start. Our approach combines technical architecture expertise with strategic advisory to ensure your AI systems are secure, trustworthy, and aligned to global standards including NIST AI RMF, ISO/IEC 42001, EU AI Act, and EO 14110.
- AI architecture risk and compliance assessments.
- Privacy, safety, and ethical control design.
- Model weight and sensitive data governance strategies.
- Secure-by-design frameworks and robustness validation.
- Model documentation and model card creation for audits and transparency.
What This Service Covers
Why This Matters
Our secure system design services combine:
Regulatory Alignment: Systems under the EU AI Act and NIST AI RMF require governance-by-design and technical documentation.
Trust & Accountability: Build AI systems that regulators, investors, and customers can trust.
Risk Mitigation: Embedding governance early prevents reputational, security, ethical, and operational failures downstream.
Tailored Use Cases
- We are designing a new AI system and need governance, safety, and compliance built in.
- We need to validate our AI architecture for security, privacy, and ethical alignment before deployment.
- We must ensure our AI models meet EU AI Act and ISO/IEC standards.
- We want to implement model weight security and protect sensitive data pipelines.
- Compliance-by-design aligned with NIST AI RMF, ISO/IEC 42001, EU AI Act.
- Architecture risk assessments and privacy/safety control design (ISO/IEC 24028, NIST AI RMF).
- Standards mapping and technical documentation (EU AI Act, ISO/IEC 42001).
- Secure model weight and sensitive data governance strategies.
- 1. Discover & Assess: Evaluate AI architecture, perform risk assessments, supply chain mapping, and governance gap analysis.
- 2. Design & Align: Develop secure-by-design frameworks, control catalogs, and model documentation aligned to NIST AI RMF, ISO/IEC 42001, and EU AI Act.
- 3. Implement & Enable: Integrate governance controls, privacy and safety mechanisms, and model weight security into the AI lifecycle.
- 4. Monitor & Evolve: Provide ongoing assurance, threat model updates, and governance adaptation as systems and regulations change.
Our Process
Mapped Standards & Regulations
- SCF AI Artificial and Autonomous Technology Controls (AAT)
- NIST AI RMF – AI risk and lifecycle governance.
- NIST SP 800-218A - Secure Software Development Practices for Generative AI
- NIST AI 600-1 - AI Risk Management Framework: Generative AI Profile
- NIST AI 100-4 - Reducing Risks Posed by Synthetic Content
- NIST AI 800-1 - Managing Misuse Risk for Dual-Use Foundation Models
- EO 14110 – Safe, secure, and trustworthy AI development mandates.
- EU AI Act – High-risk system design, technical documentation, and lifecycle compliance.
- ISO/IEC 42001 – AI management systems.
- OWASP Top 10 for LLM