Compliance got harder when the implementer-as-free-second-pass left the room
Standards and compliance survived for years on a quiet subsidy: the human engineer reading the requirement, finding the ambiguity, asking the regulator’s clarifying question before code shipped. AI generation removed that subsidy. The model fills the ambiguity with whatever looks plausible – and confidently ships it. So the standard now has to stand on its own, the traceability has to be machine-checkable, and the human role moves from “writer of code” to “owner of evidence”. Our compliance and standards portfolio is built for that shift.
The AI-governance side runs through AI Ethics and Governance plus the leadership-level governance courses, for organisations whose AI decisions are now part of their auditable surface. The engineering side covers Safety and Security Basics for embedded teams under IEC/ISO regimes, DASA DevOps Fundamentals as the certification-bearing baseline for delivery-side standards, and the DASA AI specialisations for AI-in-pipeline contexts.
A pattern we see: compliance is treated as paperwork until the first incident, then it’s treated as architecture forever after. Our trainers’ two decades inside functional-safety regimes – ISO 26262, IEC 61508, IEC 62304 – inform how this portfolio teaches standards: as architectural choices first, paperwork second. For embedded and safety-adjacent contexts the Embedded school curates the courses that take the standards seriously from day one.