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In the traditional model regulators identify the public harm, conduct an assessment, and come up with In this new model, regulators establish performance and outcome-based obligations for industry to achieve

In this presentation he proposed the digital twin as a conceptual model underlying a product life-cycle However, the idea of modelling the real-world with computer simulation is not new and can go back to What makes digital twins different from computer-based modelling are the connections between the real In essence, a model becomes a digital twin when it connected with its real life counterpart. The digital thread is a critical capability in model-based systems engineering (MBSE) and the foundation

This will help in updating our system models and processes to make them more efficient. In a fashion, we construct a "model" for how we understand the world and then validate that model using Management systems are based on models for how things get done. How true a model is depends on several factors that include: resolution, fidelity, and effectiveness. This is why we need to apply the scientific method to update our models so that they become "truer" in

works — how obligations are owned, how promises are kept, how assurance is built into the operating model It's the operating model.

To bring the risks into focus, let’s consider the use of Large Language Models (LLMs) used in applications What do LLM's model? They do not model your compliance program, your cybersecurity framework, or any other aspect of your LLMs model language to predict words, that's all. behaviours, and interactions necessary to achieve the outcome of compliance which is something that's not modelled

This is a fundamental principle of cybernetic models (i.e., the Good Regulatory Theorem). 

However, there is a lesser-known, yet profoundly effective mental model that turns this logic on its The inversion mental model asks you to work backward from an undesirable outcome, rather than from a Inversion in Action: How to Apply it to Compliance Success Let’s explore how the inversion mental model The power of the inversion mental model is that it forces organizations to consider these blind spots The inversion mental model offers a valuable approach by shifting focus to failure prevention.

The discipline inherited its working model from financial audit, never matured past the prescriptive In that domain, the model worked. What did not travel was the coupling between control and outcome that made the audit model work in finance The profession was built on a model designed for transactional assurance and applied to a domain that impact of change, integrated with change management PHA revalidation → Periodic re-evaluation of threat model

An agent's range of behavior — the model, the tools it can call, the situations it can wander into, the There are filters that screen what goes into the model and what comes out. The model, the filter checking the model, and the second model watching the first are mostly the same

This is a very useful model not only to understand how companies can best prioritize their efforts but with compliance added in RED : Performance Zone – The focus of this zone is to execute the business model Transformation Zone – this is where a disruptive business model scales and is introduced to the performance

The old model of risk assessment, primarily focused on mitigating the consequences, no longer serves Model Uncertainty : Often, risks are assessed using models that may not accurately reflect reality. Model uncertainty recognizes the limitations of these models and their potential deviations from actual

discussions I have had over the last year, IT product companies appear to be moving towards an AI first model The traditional model—where product managers coordinate with software engineers, UI designers, data analysts Companies like Vercel, Replit, and dozens of Y Combinator startups demonstrate this model in action daily AI reliability and maintenance  - AI systems need monitoring, debugging, and optimization Develop AI model customization expertise  - Fine-tuning, prompt optimization, and model selection Master AI-human collaboration