Governance
nouncandidate·updated May 9, 2026
In computer security, governance means setting clear expectations for the conduct (behaviors and actions) of the entity being governed and directing, controlling, and strongly influencing the entity to achieve these expectations. Governance includes specifying a framework for decision making, with assigned decision rights and accountability, intended to consistently produce desired behaviors and actions.
Framework senses
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- Ensures that stakeholder needs, conditions and options are evaluated to determine balanced, agreed-on enterprise objectives to be achieved; setting direction through prioritization and decision making; and monitoring performance and compliance against agreed-on direction and objectives Scope Note: Conditions can include the cost of capital, foreign exchange rates, etc. Options can include shifting manufacturing to other locations, sub-contracting portions of the enterprise to third-parties, selecting a product mix from many available choices, etc.
Federal Financial Institutions Examination Council (FFIEC) IT Examination Handbook Infobase, Glossary1 senseview framework →
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- In computer security, governance means setting clear expectations for the conduct (behaviors and actions) of the entity being governed and directing, controlling, and strongly influencing the entity to achieve these expectations. Governance includes specifying a framework for decision making, with assigned decision rights and accountability, intended to consistently produce desired behaviors and actions.
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- A system of laws, policies, frameworks, practices and processes at international, national and organizational levels. AI governance helps various stakeholders implement, manage, oversee and regulate the development, deployment and use of AI technology. It also helps manage associated risks to ensure AI aligns with stakeholders' objectives, is developed and used responsibly and ethically, and complies with applicable legal and regulatory requirements.
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- The actions to ensure stakeholder needs, conditions, and options are evaluated to determine balanced, agreed-upon enterprise objectives; setting direction through prioritization and decision-making; and monitoring performance and ompliance against agreed-upon directions and objectives. AI governance may include policies on the nature of AI applications developed and deployed versus those limited or withheld.