Applying Lessons Learned from Risk-Based Decisions

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Summary

Applying lessons learned from risk-based decisions means using insights from past choices—especially where uncertainty was involved—to improve how we assess and manage risks in the future. This approach helps organizations and individuals allocate resources more wisely, respond to new threats, and avoid repeating costly mistakes.

  • Reflect and review: Take time to analyze previous decisions, especially those that didn’t go as planned, to identify what went wrong and what factors influenced your choices.
  • Challenge assumptions: Regularly question the beliefs and expectations you bring to decision-making, ensuring you adapt your approach as new evidence or risks emerge.
  • Prioritize action: Use lessons from past experiences to sort risks by impact and likelihood, focusing your resources on what matters most to your business or project.
Summarized by AI based on LinkedIn member posts
  • View profile for Siddharth Rao

    Global CIO & CAIO | Board Member | Business Transformation & AI Strategist | Scaling $1B+ Enterprise & Healthcare Tech | C-Suite Award Winner & Speaker

    11,703 followers

    "𝘞𝘦 𝘤𝘢𝘯'𝘵 𝘢𝘱𝘱𝘳𝘰𝘷𝘦 𝘵𝘩𝘪𝘴 𝘤𝘺𝘣𝘦𝘳𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘣𝘶𝘥𝘨𝘦𝘵 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 𝘶𝘯𝘥𝘦𝘳𝘴𝘵𝘢𝘯𝘥𝘪𝘯𝘨 𝘵𝘩𝘦 𝘙𝘖𝘐." The CFO's request was reasonable but revealed a fundamental disconnect in how organizations evaluate security investments: conventional financial metrics don't apply to risk mitigation. 𝗧𝗵𝗲 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: 𝗠𝗮𝗸𝗶𝗻𝗴 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗧𝗮𝗻𝗴𝗶𝗯𝗹𝗲 Traditional security justifications relied on fear-based narratives and compliance checkboxes. Neither approach satisfied our financially rigorous executive team. Our breakthrough came through implementing a risk quantification framework that translated complex security concepts into financial terms executives could evaluate alongside other business investments. 𝗧𝗵𝗲 𝗠𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝘆: 𝗤𝘂𝗮𝗻𝘁𝗶𝗳𝘆𝗶𝗻𝗴 𝗥𝗶𝘀𝗸 𝗘𝘅𝗽𝗼𝘀𝘂𝗿𝗲  𝟭. 𝗕𝗮𝘀𝗲𝗹𝗶𝗻𝗲 𝗥𝗶𝘀𝗸 𝗖𝗮𝗹𝗰𝘂𝗹𝗮𝘁𝗶𝗼𝗻: We established our annual loss exposure by mapping threats to business capabilities and quantifying potential impacts through a structured valuation model.  𝟮. 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗘𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗻𝗲𝘀𝘀 𝗦𝗰𝗼𝗿𝗶𝗻𝗴: We created an objective framework to measure how effectively each security control reduced specific risks, producing an "effectiveness quotient" for our entire security portfolio.  𝟯. 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗙𝗮𝗰𝘁𝗼𝗿 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: We analyzed the relationship between control spending and risk reduction, identifying high-efficiency vs. low-efficiency security investments. 𝗧𝗵𝗲 𝗥𝗲𝘀𝘂𝗹𝘁𝘀: 𝗧𝗮𝗿𝗴𝗲𝘁𝗲𝗱 𝗥𝗶𝘀𝗸 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁  • Our IAM investments delivered the highest risk reduction per dollar spent (3.4x more efficient than endpoint security)  • 22% of our security budget was allocated to controls addressing negligible business risks  • Several critical risks remained under-protected despite significant overall spending 𝗞𝗲𝘆 𝗟𝗲𝘀𝘀𝗼𝗻𝘀 𝗶𝗻 𝗥𝗶𝘀𝗸 𝗤𝘂𝗮𝗻𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻  𝟭. 𝗦𝗵𝗶𝗳𝘁 𝗳𝗿𝗼𝗺 𝗯𝗶𝗻𝗮𝗿𝘆 𝘁𝗼 𝗽𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘀𝘁𝗶𝗰 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴: Security isn't about being "secure" or "vulnerable"—it's about managing probability and impact systematically.  𝟮. 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 𝗰𝗼𝗻𝘁𝗿𝗼𝗹𝘀 𝘁𝗼 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀: Each security control must clearly link to specific business risks and have quantifiable impacts.  𝟯. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗰𝗵𝗲𝗿𝗶𝘀𝗵𝗲𝗱 𝗮𝘀𝘀𝘂𝗺𝗽𝘁𝗶𝗼𝗻𝘀: Our analysis revealed that several long-standing "essential" security investments delivered minimal risk reduction. By reallocating resources based on these findings, we:  • Reduced overall cybersecurity spending by $9M annually  • Improved our quantified risk protection by 22%  • Provided clear financial justification for every security investment 𝐷𝑖𝑠𝑐𝑙𝑎𝑖𝑚𝑒𝑟: 𝑉𝑖𝑒𝑤𝑠 𝑒𝑥𝑝𝑟𝑒𝑠𝑠𝑒𝑑 𝑎𝑟𝑒 𝑝𝑒𝑟𝑠𝑜𝑛𝑎𝑙 𝑎𝑛𝑑 𝑑𝑜𝑛'𝑡 𝑟𝑒𝑝𝑟𝑒𝑠𝑒𝑛𝑡 𝑚𝑦 𝑒𝑚𝑝𝑙𝑜𝑦𝑒𝑟𝑠. 𝑇ℎ𝑒 𝑚𝑒𝑛𝑡𝑖𝑜𝑛𝑒𝑑 𝑏𝑟𝑎𝑛𝑑𝑠 𝑏𝑒𝑙𝑜𝑛𝑔 𝑡𝑜 𝑡ℎ𝑒𝑖𝑟 𝑟𝑒𝑠𝑝𝑒𝑐𝑡𝑖𝑣𝑒 𝑜𝑤𝑛𝑒𝑟𝑠.

  • View profile for Anna Stylianou

    AML & Anti-Financial Crime Advisor | Governance & risk oversight | Complex case assessments | Practical AML training

    51,187 followers

    “Apply a risk-based approach.” We hear it in every AML regulation, training, and audit report. But what does it really mean in practice? ❌ It doesn’t mean checking fewer boxes. ❌ It doesn’t mean ignoring low-risk clients. ❌ It doesn’t mean just labeling customers as “high, medium, low” and moving on. A proper RBA means understanding where your actual risks lie, and focusing your resources accordingly. Here’s where many firms go wrong: ↳ They use generic risk scoring tools without tailoring them to their business model ↳ They apply the same level of due diligence across all customers ↳ They don’t review or update risk models as threats evolve If your RBA doesn’t consider your product, geography, or customer base, you’re not reducing risk. You’re creating blind spots. So what does a stronger RBA look like? Here’s a 3-step framework: 1. Start with a threat-based mindset Don’t start with rules - start with reality. Ask: What are the most likely ways my product could be abused for illegal purposes? 2. Design controls based on risk exposure Allocate your strongest controls to areas with the highest likelihood and impact. Not everything needs enhanced due diligence, but some things definitely do. 3. Reassess regularly Business changes. Criminals adapt. So must your RBA. Make risk assessments a living document, not a one-time exercise. How do you apply a RBA?

  • View profile for Arwa Alhamad

    Cybersecurity & Tech Executive| multi-award-winning executive |Misk2030 Leader| INSEAD EMBA| Misk Ignited Voices| Public Speaker| Advocate to Women Enablement| Active Volunteer and Board/Committee Member

    32,404 followers

    From 1,000 Vulnerabilities to 1 Powerful Lesson Why Tools Alone Don’t Secure Your Business 🔐⚠️💻 A long list of vulnerabilities means nothing if you don’t know what really matters. I had to learn that the hard way… Early in my career, I was part of the Cybersecurity department 🛡️, and one of my first tasks was to communicate a vulnerability assessment report to the IT team. The tool-generated report flagged over 1,000 vulnerabilities 🧨📄. Eager and new to the field, I did what I thought was right: I wrote a detailed email ✉️, attached the report 📎, and asked the team to “please close the findings.” I followed up, weekly with trackers 📊 and escalation emails 🚨. But nothing happened. I was ignored ❌. And those 1,000+ vulnerabilities? Still there ⏳. Then came the plot twist… I moved into a new role, on the IT team 🖥️🔁. And guess what landed on my desk? The same report. 😯🤣 Now, sitting with the team and hearing their side, everything clicked 💡. Some of those "critical" vulnerabilities? Actually low-risk when you factor in network isolation 🔐, compensating controls 🧰, and limited exposure 🕵️♀️. Others had to be risk accepted 📝 due to legacy systems 🧱, requiring board-level approval 🧑💼, budget 💰, and a long-term transformation plan 🏗️. That’s when I realized: The real value of a cybersecurity expert isn’t in forwarding a report. It’s in translating risk into action 🎯. Here’s what that looks like: ✅ Understand the business context 🏢 ✅ Assess the environment & available controls 🛠️ ✅ Reassess the risk rating through that lens 🔍 ✅ Collaborate with technical & business owners 🤝 ✅ Prioritize based on true impact ⏱️ ✅ Communicate in business terms—not technical jargon 🗣️ ✅ Enable decision-making 🧠 ✅ Build a realistic, risk-based roadmap 🛣️ Tools can tell you what’s broken 🧾 But people turn that into clarity, strategy, and action 🧭. So now, when I see a 1,000+ finding report, I don’t panic ❗ I pause. I listen. I collaborate. And I ask the most important question: What truly matters here—and what’s the best path forward? Because in cybersecurity, success isn’t measured by the number of findings we flag… It’s measured by the risks we reduce, the decisions we enable, and the trust we protect. That’s the real value we bring.

  • View profile for Stuart Andrews

    The Leadership Capability Architect™ | Author -The Leadership Shift | Architecting Leadership Systems for CEOs, CHROs & CPOs | Leadership Pipelines • Executive Team Alignment • Executive Coaching • Leadership Development

    174,513 followers

    Don't Let Yesterday's Choices Haunt You. Ever made a decision you regretted? We have all been there Pouring energy, time, and sometimes even our reputation into a decision. Maybe it was; -A hire that didn’t work out -A launch that backfired -Or a partnership that felt right until it didn’t It’s easy to move on, but here is the thing most people don’t do. -Stop. -Reflect. -Rethink. If you want to make better decisions, you can’t keep rushing toward the next one without investigating what went wrong before. Here are six ways on how to apply lessons from past decisions: 1. Define the problem clearly  - Before you solve anything—step back. We often confuse what we want to happen with what’s actually broken. 2. Identify stress factors and biases -Stress narrows our thinking. It nudges us to stick with “safe bets,” repeat old patterns, or avoid risk altogether. 3. Analyze past mistakes -Identify one or two previous decisions that didn’t go well and determine the reason behind those failures. 4. Examine your assumptions -Look closely at what you believed going into those decisions. Challenge those beliefs. 5. Apply lessons to the current decisions -Look for patterns in past decisions to adjust your approach. -Make changes to your process based on insights gained. 6. Implement a new solution -Now you’re ready. Not because you have a perfect candidate or plan, but because you have a better process. So next time you’re faced with a big decision, don’t just ask “What should I do?” Ask:  -What did I miss last time?  -What am I assuming?  -What can I do differently right now? Want help applying this framework to a current challenge? Drop a comment or DM me. Let's think it through together Like this post? Follow for more leadership insights. [Source: HBR- How to Learn from Your Mistakes and Make Better Decisions, Cheryl Strauss Einhorn]

  • View profile for Nathan Roman

    Helping life-sciences teams understand and execute validation & temperature mapping with clarity.

    20,734 followers

    Risk-based CQV sounds great - until you’re already mid-project. Deadlines closing in. Budgets shrinking. QA expectations mounting. And suddenly, “start fresh with risk-based strategies” feels impossible. But here’s the truth: you don’t have to start over. Start where you are! In my latest article, I share 5 practical steps for applying risk-based CQV without derailing your project. Backed by ISPE, FDA, ICH, and WHO guidance - plus real-world tactics your team can use today. 📖 Read the full article here: https://lnkd.in/e6xmVCHS If your team wants to: ✔️ Cut down on overqualification ✔️ Defend validation decisions with confidence ✔️ Modernize your CQV approach—right now …this is your next step forward. #CQV #Validation #RiskBasedApproach #ISPE #Pharma #Ellab

  • View profile for Adam Kosoy

    CMO @ Sterling Global Financial | Private Markets | Real Estate Credit & Equity | Development | Board Advisor

    11,519 followers

    ⚠️𝗜𝗳 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘁𝗲𝗹𝗹𝘀 𝘆𝗼𝘂 𝘁𝗵𝗲𝘆’𝘃𝗲 “𝗿𝗲𝗺𝗼𝘃𝗲𝗱 𝗮𝗹𝗹 𝗿𝗶𝘀𝗸,” 𝗰𝗵𝗲𝗰𝗸 𝘆𝗼𝘂𝗿 𝘄𝗮𝗹𝗹𝗲𝘁. There is always a level of risk. But how you approach it, underwrite it, and structure a deal or fund to protect yourself against it, that is everything. You can’t avoid it — but you can decide how much you’re willing to take. That’s where experience earns its keep. Every deal should have guardrails, balance, and a recovery plan built in. 𝗧𝗵𝗿𝗲𝗲 𝗹𝗲𝘀𝘀𝗼𝗻𝘀 𝘄𝗲 𝗹𝗶𝘃𝗲 𝗯𝘆: 1️⃣ 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘁𝗵𝗲 𝗱𝗼𝘄𝗻𝘀𝗶𝗱𝗲 𝗳𝗶𝗿𝘀𝘁 — protection starts before returns are modeled. 2️⃣ 𝗕𝗮𝗰𝗸 𝗲𝘃𝗲𝗿𝘆 𝗱𝗲𝗮𝗹 𝘄𝗶𝘁𝗵 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗿𝗲𝗮𝗹 — cash flow, collateral, or personal guarantees. 3️⃣ 𝗦𝘁𝗮𝘆 𝗮𝗹𝗶𝗴𝗻𝗲𝗱 — when managers invest alongside clients, risk becomes shared responsibility. When protection is designed into the deal from day one, volatility doesn’t feel like chaos. It feels like preparation. 𝗦𝗖𝗥𝗘𝗗

  • View profile for Jon MacDonald

    Digital Experience Optimization + AI Browser Agent Optimization + Entrepreneurship Lessons | 3x Author | Speaker | Founder @ The Good – helping Adobe, Nike, The Economist & more increase revenue for 16+ years

    17,992 followers

    I kept this quote on my office whiteboard for seven years: "Good judgment comes from experience. Experience comes from bad judgment." It reminded me daily that wisdom has a price. In 2013, I made a decision that cost us over six figures. One of our best partners sent us a client. I was certain the client needed a complete strategy overhaul. I pushed hard for it. Invested resources. Built the case. And, they hired us! They fired us three months later. The mistake? I solved the problem I wanted to solve, not the one they were paying me to fix. That failure taught me what no MBA could: ↳ Listen before you prescribe ↳ Validate before you invest ↳ Ask twice as many questions as you think you need Now when young entrepreneurs tell me they're afraid of making mistakes, I share this truth: "Your mistakes are your education." Every bad call sharpens your instincts. Every wrong decision reveals a blind spot. Every failure builds your pattern recognition. The executives who grow fastest treat mistakes as data. They document what went wrong. Extract the lesson and then apply it moving forward. Think about the leaders you admire most... they didn't get there by avoiding failure. They got there by failing faster and learning deeper than everyone else. Your next mistake won't be a setback. It's tuition for wisdom you can't buy any other way. Make the decision, take the risk, and learn the lesson. Because good judgment really does come from experience. And experience comes from bad judgment. What expensive mistake taught you the most about leadership?

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