Security, reliability and data risks for IT, software, network and systems courses.
A worked example of how an engineering team finds, scores and controls the risks in a power system, from arc flash and protection faults to ageing plant, specification mismatch and supplier delays.
A worked example of how an electronics and embedded hardware team finds, scores and controls the risks that threaten a design, from unclear briefs and weak testing to production defects, data exposure and schedule pressure.
A worked example of how an energy management team finds, scores and controls risks in metering, savings claims, audits, contractor billing, supply contracts and building control systems, so reported energy performance can be trusted.
A worked example of how an engineering team identifies, scores and controls the risks that threaten environmental compliance, plant reliability, monitoring accuracy and worker safety in a treatment and energy facility.
A worked example of how a student testing team plans authorized security testing, scores the risks it creates for systems and data, and sets controls, owners and warning signs before any test begins.
A worked example of how a product team building applications on generative AI finds, scores and controls risks to output accuracy, data, people, suppliers and public trust, with residual ratings and clear escalation.
A worked example of how a small surveying and geospatial team identifies, scores and controls the risks that threaten data accuracy, field safety, data security and client trust, from instrument faults to unsafe site access.
A worked example showing how a small team learning a public cloud platform finds, scores and controls risks to data, identities, services and compliance, from misconfiguration and phishing to outages and weak logging.
A worked example of how an automation team identifies, scores and controls hazards from control logic defects, bypassed interlocks, network exposure, maintenance backlogs and supplier dependencies in a controlled production process.
A worked example of how a plant team identifies, scores and controls risks from connected sensors, gateways, controllers and data platforms, covering electrical, cyber, reliability, supplier and human factors.
A worked example of how a manufacturing site identifies, scores and controls risks from connected machines, robots, sensors, data platforms and external technology suppliers.
A worked example of how a platform team finds, scores and controls the risks in managing cloud infrastructure through version-controlled code, from identity and misconfiguration to state, supply chain and recovery.
A worked example of how an IT service team finds, scores and controls the risks that threaten access, service availability, data and recovery, from identity compromise and malware to failed changes and supplier exposure.
A worked example of how an enterprise IT operations team identifies, scores and controls the risks that threaten service availability, data confidentiality and integrity, and recovery from disruption.
A worked example of how a small team that runs a large language model finds, scores and controls risks to confidential data, access keys, output quality and service availability, with owners, warning signs and review triggers.
A worked example of how an engineering team finds, scores and controls the risks that threaten training data, model integrity, deployed AI services and the people affected by their predictions.
A worked example of how a marine engineering team finds, scores and controls the risks that threaten vessel stability, machinery, electrical safety, people, the marine environment and the build programme.
A worked example of how a small metallurgy laboratory and heat treatment workshop identifies, scores and controls risks from furnace operation, alloy specification mismatch, test sampling errors and operator decisions.
A worked example of how a development team finds, scores and controls the risks in building mobile, desktop and embedded applications, from release defects and insecure data to firmware updates, supplier code and store rules.
A worked example of how a text analysis team identifies, scores and controls risks to private text data, language model integrity, access, service availability and third-party dependencies.
A worked example of how a small naval architecture office finds, scores and controls the risks that threaten vessel stability, structural integrity, schedule, confidential data and the people who sign off designs.
A worked example of how a team that runs authorized penetration tests finds, scores and controls the risks its own methods create, from out of scope activity and malware escape to captured data, service disruption and weak logging.
A worked example of how a maintenance team identifies, scores and controls the risks of condition monitoring, sensor data, analytics and workforce skills that decide whether predictive maintenance protects assets or fails them.
A worked example of how a student builds a risk register for a renewable plant connected to a smart grid, covering equipment failure, protection settings, battery storage, cyber exposure, supplier quality and compliance duties.
For Learning Reference Only: This assessment demonstrates how risk assessment principles are applied in a practical setting, providing a useful reference for learning and understanding. Actual assessments may be adapted to suit specific site conditions and circumstances.
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