ISO 31000: Enterprise Risk Management (With ISO 31010)

Define risk as uncertainty with potential impact and showcase enterprise-wide, proactive risk management through an eight-parameter maturity framework, ISO 31,000 principles, and practical techniques like Fmea from ISO 31,010.

ISO defines risk as the effect of uncertainty on objectives. It applies to any organization and reframes risk as deviation from expectations that can yield opportunities as well as threats.

Explore how risk is defined across disciplines, from PMI to COSO and NIST, and learn to manage contextual risk by identifying, analyzing, planning responses, and monitoring to protect objectives.

Trace the history and purpose of ISO, a non-governmental global standards body that unifies trade through 24,000 standards, equal representation, and global credibility.

Integrate ISO 31000 principles into every process and decision to build a dynamic, customized risk framework that considers qualitative and quantitative insights, stakeholder voices, and continuous improvement.

Embed risk management into processes, decisions, and culture with the ISO 31000 2018 framework, emphasizing integration, design, implementation, evaluation, and continual improvement.

Explore ISO 31000's enterprise risk management process as a continuous cycle: identify, assess, and treat risks with open communication, scope, context, and criteria, plus monitoring, reporting, and learning.

Explore how ISO 31010 provides practical guidance for selecting and applying risk assessment techniques, from qualitative to quantitative, to support decision making and risk treatment.

Explore swift, the structured what-if technique, to uncover risks in any system or project; multidisciplinary teams analyze scenarios, assess outcomes, and develop mitigations to strengthen enterprise risk management.

Fault tree analysis uses a top-down deductive approach with and/or gates to trace root causes of repeated machine breakdowns, linking mechanical, electrical, and operational factors to prevent failures.

Apply event tree analysis to map possible outcomes from a single initiating event, quantify their likelihood, and enhance preparedness and response across safety critical industries.

Apply layer of protection analysis to assess independent protection layers, quantify reliability, and compare against targets to ensure risk reduction meets acceptable levels.

Learn bow tie analysis, a visual risk evaluation method that maps an unwanted event to its causes and consequences, with preventive and mitigative controls guiding far better decision making.

Monte Carlo simulation uses random sampling to model uncertainty and analyze outcomes across diverse scenarios. It runs many trials to reveal the end-of-year value distribution and quantify risks with percentiles.

Stress test analysis demonstrates how to reveal a system’s resilience under extreme but realistic pressure, guiding risk management through peak load scenarios, monitoring, and optimization to prevent outages.

Explore hazard and operability studies (hazop) as a structured, multidisciplinary approach to identify causes, consequences, and likelihood of process deviations, then design safeguards to enhance safety and compliance.

Identify critical functions and assess disruption impacts on operations, finances, and reputation. Use a five-step business impact analysis with strategies like diversifying suppliers, preventive maintenance, and workforce training.

Apply failure mode effects analysis (fmea) to identify, assess, and prioritize risks in processes, products, and design using severity, occurrence, detectability, and the six sigma perspective.

A decision tree visualizes choices, uncertainties, and outcomes in a diagram. Compare options by risk, cost, benefit, and expected value, choosing the lower expected cost in the cyber case study.

Use sensitivity analysis to see how material costs, labor costs, and schedule affect a baseline $10 million project, revealing material costs as the top driver and informing risk mitigation.