Event Risk Assessment Protocols

Letter R: Risk (Assessment, Management, and Mitigation): A Continuous Guardian Our ‘A to Z of Cybersecurity’ tackles Risk Management - the ongoing process of identifying, evaluating, and mitigating potential threats to your organization. It's like having a security guard who never sleeps! Effective risk management isn't a one-time event; it's a continuous cycle: Identifying the Threats: · Threat Landscape Analysis: Understanding the evolving threats in your industry and the broader cybersecurity landscape. · Vulnerability Assessments: Regularly scanning your systems and processes to identify potential weaknesses. · Asset Inventory: Knowing what data and systems you have is crucial for assessing risk. Taking Action: · Risk Mitigation Strategies: Implement controls to reduce the likelihood or impact of a risk. This could involve technical solutions, policy changes, or user awareness training. · Risk Transfer: In some cases, transferring risk through insurance might be appropriate. · Risk Acceptance: For certain low-impact risks, accepting the risk might be the most cost-effective solution. The Continuous Loop: · Regular Reviews: The risk landscape is constantly evolving, so ongoing assessments and adjustments are crucial. · Lessons Learned: Analyze past incidents to improve your risk management practices. · Communication & Awareness: Keep stakeholders informed about identified risks and implemented mitigation strategies. Effective risk management is the cornerstone of a secure organization. By proactively identifying and mitigating threats, you can build a resilient digital fortress. #Cybersecurity #RiskManagement

Understanding and managing risk is essential for any fintech company—but Revolut is taking it a step further. In their latest blog, the team shares how they’re designing risk as a system of dynamic state transitions. Each user account is embedded in a broader risk graph, where every event—like a payment failure or a balance drop—triggers transitions between states. These transitions are driven by probabilities and associated costs, enabling real-time calculations of key metrics like expected loss and worst-case loss. What’s especially compelling is how this model is put into production. Risk evaluation is built directly into Revolut’s event-driven architecture through a reasoner component that continuously interprets user states. On top of that, they’ve integrated large language models (LLMs) to generate natural-language summaries of risk, making insights easier to understand and act upon. By treating risk as a live, evolving flow of events rather than a static score, Revolut has developed a system that’s both scalable and adaptive. Whether you're working on fraud detection or credit risk, this post offers a thoughtful approach to embedding risk intelligence into your platform. #DataScience #MachineLearning #Graph #RiskManagement #SnacksWeeklyonDataScience – – –  Check out the "Snacks Weekly on Data Science" podcast and subscribe, where I explain in more detail the concepts discussed in this and future posts:    -- Spotify: https://lnkd.in/gKgaMvbh   -- Apple Podcast: https://lnkd.in/gj6aPBBY    -- Youtube: https://lnkd.in/gcwPeBmR https://lnkd.in/g6_y_Jxc

We were killing it for our clients... right up until we nearly crashed the entire project. Here's why... 👉 Tailored software project? ✅ Tight deadline? ✅ Multiple clients at the same time? ✅ A hyper-focused "client comes first" mindset? 100%! Unfortunately, that focus was SO intense that we nearly created a major bottleneck with another key stakeholder nearing capacity, with deadlines missed on an existing task that was essential for our client's launch feature, almost throwing the entire project off track! Missed dependencies nearly blew the whole scope wide open! Realizing the potential scope impact, I swiftly conducted a stakeholder evaluation. The findings revealed the strain on our key contractor. Lesson learned - it's not just about customers; all stakeholders matter! I reshaped our strategy, incorporating key stakeholder constraints into the plan. Communication became key – sharing customer requirements and aligning with stakeholders transformed our approach. 👍 The result? Successful project delivery achieved within budget and on time, with the following three lessons learned to share: 1️⃣ Stakeholder identification isn't a "do it once" task. Ongoing evaluation catches hiccups BEFORE they become disasters. 2️⃣ "Client Satisfaction" tunnel vision is a real "bad" risk. It's stakeholders (Plural, internal and external!) - each has requirements that make or break our outcomes. 3️⃣ Project Management IS dynamic communication. Sharing how client changes impacted others gave us room to re-plan and hit even those aggressive goals. Have you ever been so client-focused that you risked the whole project? Share your lessons learned (we all have some!) below 👇

Risk Management in Medical Devices: More Than a Checklist In medical devices, risk management is not a one-time activity—it’s a continuous process that directly impacts patient safety and product reliability. Under ISO 14971 and aligned with ISO 13485, risk management is integrated into every stage of the product lifecycle—from design to post-market use. At its core, risk management is about answering three simple but critical questions: What can go wrong? How likely is it? And what is the impact? The process typically begins with hazard identification. This involves identifying all possible sources of harm—electrical, mechanical, biological, usability-related, or even software failures. In daily work, this often happens during design discussions, failure analysis, or even while reviewing customer complaints. Once hazards are identified, the next step is risk analysis and evaluation. Here, risks are assessed based on severity and probability. Not all risks can be eliminated, but they must be reduced to an acceptable level. This is where teams often make a mistake—accepting risks without proper justification or documentation. The most critical step is risk control. Controls can include design changes, protective measures (like alarms or insulation), or clear instructions in labeling. The priority should always be to eliminate risk through design rather than relying only on warnings or user instructions. An important but often overlooked aspect is residual risk evaluation. Even after controls are applied, some level of risk remains. This must be evaluated to ensure it is acceptable when weighed against the device’s benefits. Risk management does not stop after product release. Through post-market surveillance, real-world data such as complaints, adverse events, and user feedback must be continuously reviewed. If new risks are identified, they should feed back into the risk management file and trigger updates. In practice, risk management is closely linked with CAPA, design changes, and regulatory compliance. A poorly maintained risk file is one of the most common findings during audits. A mature organization treats risk management not as documentation, but as a decision-making tool. It guides design choices, improves product safety, and builds confidence with regulators and users. Ultimately, effective risk management ensures that innovation does not come at the cost of safety—and that every device delivered performs reliably in real-world conditions.

*Risk Analysis vs Risk Evaluation* Risk Analysis Risk Analysis is the process of examining identified risks to understand their nature, causes and potential impact. It focuses on quantifying and qualifying risks, estimating the likelihood of occurrence and the severity of consequences. The goal is to build a factual and data-driven understanding of each risk. Key Activities: Assessing the probability and impact of risks. Analyzing existing controls and their effectiveness. Using qualitative, quantitative or semi-quantitative methods (e.g., risk matrices, scenario analysis, sensitivity analysis). Producing a clear risk profile or ranking. Outcome: A detailed understanding of each risk’s significance and how it may affect objectives. Risk Evaluation Risk Evaluation follows analysis. It involves comparing analyzed risk levels against predefined risk criteria or appetite to determine whether they are acceptable or require further action. The focus here is on decision-making. Prioritizing which risks to treat, tolerate, transfer or terminate. Key Activities: Comparing risk analysis results with organizational risk appetite or tolerance levels. Prioritizing risks for treatment. Making informed decisions on control measures or mitigation strategies. Outcome: A clear decision on how each risk will be managed, whether to accept, mitigate, share or avoide. In essence: Risk Analysis helps you understand risks. Risk Evaluation helps you decide what to do about them.

🔥 The Dominant Consequence Is Often Not the Dominant Risk ... (Part TWO) "From Consequence to Risk: Why Location and Exposure Matter More Than Severity Alone" We often argue about which consequence is worst: Jet fire? VCE? BLEVE? But that question misses the point. From a single hazardous release, multiple consequences can evolve, each with different footprints, reach, and interaction with people and assets. 🧠 What matters is not just how severe a phenomenon is, but: • Where it occurs • Who is exposed • For how long • How vulnerable the receptor is A few familiar thresholds illustrate are listed below: 🔥 Thermal Effect: Jet Fire / Pool Fire / Fire Ball 37.5 kW/m² → escalation and equipment failure threshold for (3-5 min exposure) 12.5 kW/m² → 30% Lethality for Indoors Onshore & 70% Lethality for Outdoor & Offshore 🔥 Flash Fire: (Within LFL contour)  → 100% Lethality 💥 Explosion Effect (0.5 bar) Overpressure → (50% - 100%) Lethality for Personnel Onshore (0.2-0.3 bar) Overpressure → (100%) Lethality for Personnel Offshore ☠️ Toxic Release (No Ignition) ERPG-2 / AEGL-2 (chemical-specific) → serious irreversible health effects (For about 1hr exposure) This is why tools like PHAST and SAFETI model consequence chains, not single events, and why facility siting and QRA do not depend on severity, but on understanding where and how consequences propagate. 👉 Dominant consequence ≠ dominant risk This distinction is also central to how risk decisions are ultimately made. Risk reduction is not about eliminating the most severe consequence at any cost, but about understanding which scenarios drive exposure often enough to justify additional safeguards. That balance among consequences, frequency, and practicality is where ALARP (As Low As Reasonably Practicable) comes into play. (Will be discussed in coming posts) References: 📚 CCPS Guidelines for Quantitative Risk Assessment 📚 TNO Purble Book & Green Book 📚 IOGP / OGP 434 Reports #ProcessSafety #RiskEngineering #ConsequenceModelling #QRA #FERA #OBRA #FacilitySiting #LossPrevention #ALARP

Understanding Risk Assessment Methodology: A Corporate Guide with a Human Touch In today’s dynamic business environment, risks are inevitable, whether financial uncertainties, operational challenges, or regulatory compliance issues. Effectively managing these risks is essential for sustainable growth, operational resilience, and stakeholder trust. A structured Risk Assessment Methodology provides organizations with a clear framework to anticipate, evaluate, and address risks before they escalate. 1️⃣ Risk Identification The first step is awareness. Organizations must pinpoint potential risks affecting people, processes, or outcomes. This is about foresight, not fear. For example, identifying potential system downtime enables teams to implement contingency measures, ensuring business continuity for both employees and customers. 2️⃣ Risk Analysis After identification, each risk is assessed for likelihood and impact. Not all risks are equal, some may cause minor disruptions, while others can significantly affect operations or reputation. Analysis allows leaders to prioritize threats and allocate resources strategically. 3️⃣ Risk Evaluation Risks are evaluated against organizational criteria to determine urgency and relevance. This stage distinguishes between acceptable risks and those requiring immediate attention, balancing opportunities with compliance, safety, and operational standards. 4️⃣ Risk Prioritization Once evaluated, risks are ranked by significance. High-impact threats, such as cybersecurity breaches, demand immediate intervention, while lower-risk operational issues can be managed over time. Prioritization ensures efficient use of resources and proactive mitigation. 5️⃣ Risk Treatment Finally, organizations determine how to manage each risk through: • Avoidance – eliminating the risk entirely • Transfer – through insurance or outsourcing • Mitigation – implementing preventive measures • Acceptance – when the impact is minimal This step ensures that risks are not only acknowledged but strategically addressed in alignment with corporate objectives and human considerations. Why This Matters A robust risk assessment methodology reflects an organization’s commitment to resilience, responsibility, and the well-being of its people and stakeholders. Thoughtful risk management builds trust, enhances decision-making, and supports long-term sustainability. In business, risks will always exist, but with the right methodology, they transform from threats into opportunities for growth, innovation, and continuous improvement. @ChiefRiskOfficer, @RiskManagementProfessionals, @ComplianceLeaders Industry organizations: @GRCInstitute, @ISO, @COSO

In today's rapidly evolving humanitarian landscape, the ability to effectively monitor and evaluate programs is paramount to achieving meaningful impact and fostering accountability. The Handbook for Monitoring and Evaluation emerges as an indispensable guide for practitioners who are passionate about elevating the standards of transparency, efficiency, and performance in their organizations. Developed by the International Federation of Red Cross and Red Crescent Societies, this handbook delves deeply into the methodologies and tools that form the backbone of successful Monitoring and Evaluation (M&E) systems. With a robust framework designed to enhance organizational learning and drive strategic decision-making, this guide empowers National Societies to critically assess whether they are "doing things right" and "doing the right things." It bridges the gap between theory and practice, offering a suite of practical tools and insights that are essential for designing, implementing, and refining M&E systems that are attuned to both strategic goals and the nuanced needs of communities. This handbook is more than just a resource for those directly involved in M&E; it is an invaluable asset for any individual or organization dedicated to improving the quality and effectiveness of their humanitarian initiatives. It equips readers with the knowledge to not only measure success but to foster a culture of continuous improvement and learning, ultimately contributing to the betterment of vulnerable populations worldwide. Dive into this guide to discover how structured M&E can transform your organization's impact and help you make informed, data-driven decisions that resonate with donors, stakeholders, and the communities you serve.

I've coached many researchers through high-stakes leadership meetings, and the pattern is always the same. They know their findings, but they don't know how to package them in a way that makes executives say "so what's our move?" 90% of stakeholder objections are predictable. If you prepare the right responses, you walk in with answers that position your research as impossible to ignore. Here are the 10 most common stakeholder objections: 1. "We already know this." → "You're right that this confirms intuition. What's new is the severity. 67% of users abandon at this step. That changes the priority." 2. "The sample size is too small." → "For behavioral patterns, 8-12 users surface 80% of usability issues. We're not measuring market size, we're identifying friction saturation." 3. "Can we get more data before deciding?" → "We could, but the cost of delay is [X]. What specific question would more data answer that we can't answer now?" 4. "This doesn't match what Sales is hearing." → "Sales hears from people who bought. We're hearing from people who didn't. Both are true and both matter." 5. "What's the ROI of fixing this?" → "If 40% drop off at onboarding and each user is worth [X], that's [Y] in lost revenue per quarter." 6. "We don't have bandwidth for this." → "Understood. If we don't address it, here's what continues: [specific consequence]. What would need to change to prioritize it?" 7. "This is just qualitative data." → "Qualitative tells us why. The why is what makes the fix work the first time instead of the third." 8. "Our competitors do it this way." → "They do. Their users also complain about [X] in reviews. We can leapfrog them here." 9. "Can you summarize this in one slide?" → "Yes: [Decision], [Risk if we don't], [Opportunity if we do]." Then stop talking. 10. "Thanks for sharing." → "What's the decision? If it's not today, what do you need to make it?" Most researchers confuse findings with insights. A finding states what happened. An insight tells leadership what to do about it and what happens if they don't. 𝗙𝗶𝗻𝗱𝗶𝗻𝗴: Users struggle to set up integrations 𝗜𝗻𝘀𝗶𝗴𝗵𝘁: Integration setup is where we lose 40% of new users in week two. Fixing this is a retention problem, not a UX polish It's like asking Excel to analyze why your team is burned out. It'll graph the overtime hours beautifully. It'll completely miss that Brad keeps microwaving fish in the break room. Your research can't just show the overtime hours. It has to surface the fish. I wrote a full breakdown on how to write insights that actually drive decisions, including the 3-part framework (key learning + why + consequence) that makes leadership pay attention: https://lnkd.in/ewxvTu7z

Tell your regulator before X. finds out In a regulated startup, you don’t just manage risk. You manage relationships—& none is more critical than the one with your regulator. Let me make my position clear: 👉 If something’s material, the regulator hears about it from you before anyone else. Not after it hits the press. Not when a customer complains. Not when your investor “casually mentions” it in a meeting. Before. Anyone. Else. 🎯 Your regulator is a stakeholder—treat them like one If you’re building in fintech, digital assets, or any regulated vertical, here’s the truth: Your regulator doesn’t expect perfection. But they absolutely expect proactive engagement. You build trust by showing up early, not only when things go wrong. Because the minute they feel surprised? You’ve just lost points you might never get back. According to the FCA’s 2023 Market Watch, firms with proactive communication had 43% fewer formal interventions & faced shorter audit cycles. In contrast, delayed disclosure led to prolonged investigations—even when the original issue was minor. 🛠️ Build the muscle: Escalation, not excuses This isn’t just about being transparent. It’s about building a system where nothing material falls through the cracks. Here’s what I put in place at every regulated entity I run: 🔺 A clear internal escalation process. Everyone knows what qualifies as a regulatory matter—& who to tell. No ambiguity. No silence. 📒 A regulatory log. Every key interaction, breach, update, or question gets captured. This builds continuity, clarity, & most importantly—credibility. 🔄 A “no surprises” rule. If Legal, Compliance, or Risk even thinks something could matter? We raise it early. Then we decide. Because consistency with your regulator isn’t built on good days. It’s built in how you handle the bad ones. 🧠 What I tell founders (From a CEO who’s been there) I’ve worked in regulated financial services for two decades. & here's the one sentence I repeat more than any other: "Our regulator should never hear something material from someone else before they hear it from us." That’s not just a standard—it’s your insurance policy. Here’s the playbook I share with founders building in regulated spaces: • Over-communicate early. You can always dial back. But you can’t rewind surprise. • Think like a regulated entity from day one. Not Series B. Not post-license. Now. • Document everything. Memory is fallible. Logs aren’t. • Give regulators a reason to trust you. & give them no reason to chase you. Being open with your regulator isn’t just about compliance. It’s about leadership. Because if your regulator trusts you, they’ll work with you. But if they feel blindsided, you’re in damage control—& no deck, no lawyer, & no LinkedIn thought piece will save you. So, here’s the rule: If it’s material, they hear it from you. Not from X. Not from a third party. Not from a newspaper headline. From. You. First. #Leadership #Compliance #Regulation