To prepare for extreme risks, organisations must understand not only what could happen, but when disruption may accelerate and how fast it may overwhelm resilience.
The modern risk question is no longer if disruption will occur, but when and how fast. In today’s hyper-connected world, extreme risks — often labelled Black Swans — act as systemic ignition triggers. They do not merely cause isolated losses; they accelerate through interdependencies, creating cascading, non-linear consequences that can rapidly overwhelm institutional resilience.
Four years ago, the UK House of Lords Select Committee on Risk Assessment and Risk Planning published its landmark report, Preparing for Extreme Risks: Building a Resilient Society (December 2021) (PDF, 1.5MB). The Committee delivered a sharp critique of the UK’s risk management system, highlighting its over-reliance on static likelihood-impact matrices, insufficient attention to risk velocity, poor understanding of systemic cascades, and inadequate preparation for high-impact, low-probability events. The report called for more dynamic, forward-looking approaches to risk assessment and resilience. Since then, a sustained body of work has sought to address these exact shortcomings. The Committee stated:
“We found that the Government’s risk assessment process is unable to encompass the complexity of risks facing the UK. It fails to account for interconnected or cascading risks and chronic or long-term risks and has a bias against low likelihood-high impact risks. [...] The present approach of assessing likelihood and impact may be misleading and lead to a false sense of confidence, particularly in terms of prioritisation of risks. The Government’s risk assessment must be replaced by a more dynamic, data-driven output, directly linked to preparation, mitigation and response.”
This critique applies with equal force to many corporate and financial services risk frameworks.
The journey began in August 2022 with the article “Complexity Challenge: understanding complicated risks” in The Actuary, which drew attention to the limitations of traditional tools when dealing with interconnected, non-linear risks. This was followed by co-authorship of the July 2025 British Actuarial Journal paper Operational Resilience in the UK Financial Sector, where Section 4 on scenario development introduced practical dynamic thinking for regulated firms. In March 2026, the Risk Flux Framework (RFF) was formally introduced, with further development in the May 2026 article “Follow the Flux”. This framework reconceptualises risk not as a static entry on a spreadsheet, but as a dynamic flow of energy — measured through velocity, acceleration, jerk, institutional latency, risk curl, and flux capacity.
At its heart lies the powerful concept of the Isthmus of Chaos — the narrow threshold at which stable operations tip into unrecoverable systemic destabilisation. All resilience resources are exhausted, and the system is poised to fail.
Traditional risk assessment excels at defining the range and potential severity of impacts through scenario analysis and capital modelling (such as Solvency II’s 1-in-200 stresses). However, it often fails to capture the motion of risk — how quickly a shock propagates and whether the organisation can respond in time. The Risk Flux Framework complements traditional methods by adding the critical dynamic dimension. Together, they deliver a truly holistic view:
This combined lens is particularly powerful when applied to Black Swan-type events — rare, high-jerk occurrences such as major geopolitical conflicts, systemic cyber attacks, supply-chain collapses, or sudden regulatory shifts.
This hybrid lens is especially powerful in the context of PRA Supervisory Statement SS11/24 – Solvent Exit Planning for Insurers. Firms are required to identify the tipping point — “the absolute minimum level of financial resources below which there would be no reasonable prospect of successfully executing a solvent exit” (SS11/24, para 2.17). Using the Flux Capacity framework, firms can stress-test not only static SCR trajectories but also critical dynamic questions:
This dynamic testing is vital during run-off, where loss of Matching Adjustment (MA) or Volatility Adjustment (VA), combined with a sudden geopolitical shock, can cause rapid acceleration in capital and liquidity erosion.
This dynamic testing moves Solvent Exit Analysis from a compliance exercise to a genuine boundary-testing tool that identifies the true Isthmus of Chaos for the firm.
The same methodology strengthens compliance with FCA and PRA operational resilience requirements. By integrating traditional impact tolerance setting with Flux analysis, firms can better assess how quickly disruptions propagate through critical operations and whether their resilience profile is robust enough to remain within tolerances during high-jerk events. The proposed Operational Resilience Control and Risk Analysis System (ORCRAS) — a digital twin powered by real-time data and AI — offers a practical way to operationalise this hybrid approach.
The same hybrid methodology strengthens operational resilience under FCA/PRA rules. By combining traditional impact tolerance setting with Flux analysis, firms can:
The House of Lords report correctly diagnosed a systemic weakness in how the UK assesses and prepares for extreme risks. The Risk Flux Framework, developed over four years through successive publications and practical applications, offers one credible pathway forward — particularly for financial institutions navigating operational resilience and solvent exit requirements.
By integrating traditional rigour with dynamic, motion-based insight, organisations can move beyond asking “what if?” to proactively managing “when and how fast?”. In doing so, they build genuine flux capacity — the ability to glide through disruption with agility and confidence, no matter how severe the kinetic injection becomes.
The modern challenge is not primarily one of imagination, but of engineering resilient systems with sufficient flux capacity to withstand the inevitable shocks of our interconnected world.
