Status quo · late 2026
What has changed — and why it matters now
How we approach it
Our method for AI Governance & AIMS
01Inventory & classifyEvery model, agent, MCP connection and vendor AI feature, classified by AI Act risk tier and business impact.
02AIMS designISO 42001 clauses and Annex A controls, integrated with the ISMS; roles, policies, impact assessments.
03AssureAI red teaming (PyRIT), model security reviews, bias and robustness testing, documentation packs.
04OperateMonitoring, incident handling, post-market surveillance, human oversight procedures.
05Certify & complyISO 42001 certification support, AI Act conformity evidence, regulator engagement.
In depth
Framework map
ISO/IEC 42001
Certifiable management system for AI — the backbone.
EU AI Act
Risk tiers, high-risk obligations, GPAI duties, transparency, penalties up to 7% of turnover.
NIST AI RMF & agent standards
Govern-Map-Measure-Manage; new NIST work on agent identity, logging and containment.
ISO/IEC 23894 & 42005
AI risk management guidance and impact assessment.
OWASP LLM Top 10 & MITRE ATLAS
Threat catalogues driving red-team scope.
What you get
Deliverables
AIMS design (ISO 42001)AI red teaming (PyRIT)Model security reviewsResponsible AI principlesRisk monitoringPolicy enforcement
Technology-agnostic
Platforms we work across
We design for the outcome first and choose the platform second — across Microsoft, AWS and Google Cloud, and every major AI provider.
Microsoft Purview & Azure AI Content SafetyAWS Bedrock GuardrailsGoogle Vertex AI SafetyAnthropicOpenAIPyRITCredo AI / IBM watsonx.governance
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