From the course: CompTIA SecAI+ (CY0-001) Cert Prep
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AI policies and procedures
From the course: CompTIA SecAI+ (CY0-001) Cert Prep
AI policies and procedures
A strong policy framework gives an organization a common language for control and clarity. It states intent, creates authority, and sets scope so teams know what outcomes matter and who is accountable. The framework also links day-to-day work to laws, contracts, and risk appetite, which keeps decisions aligned with strategy. When you design the framework with change in mind, you make it easier to update controls as technology and obligations evolve. In that framework, each document type serves a distinct purpose. Policies set non-negotiable rules and intent for the whole organization. They state what is permitted or prohibited, who it applies to, and who is accountable. Standards convert policies into specific testable control statements that set the minimum bar across teams. Procedures describe how people complete a task step by step so that results stay consistent across teams and time. And guidelines offer recommended practices that help teams make good choices when a single rule…
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Contents
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The AI lifecycle1m 39s
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Business alignment in the AI lifecycle1m 43s
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Data collection2m 20s
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Data preparation3m 15s
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Model development and selection2m 13s
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Model evaluation and validation2m 29s
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Model deployment and integration3m 25s
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Monitoring and maintenance3m 19s
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Manipulating application integrations4m 8s
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AI supply chain attacks2m 4s
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Insecure plug-in design2m 9s
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Insecure output handling1m 23s
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Output integrity attacks2m 8s
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Model denial of service1m 31s
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Excessive agency1m 33s
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Overreliance1m 34s
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AI hallucinations1m 4s
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Monitoring prompts and responses2m 51s
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Log monitoring4m 30s
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Rate and cost monitoring5m 1s
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Auditing for AI hallucinations3m 33s
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Auditing for accuracy3m 29s
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Auditing for bias and fairness4m 35s
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Auditing access and security compliance3m 48s
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Responsible AI5m 29s
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AI risks2m 23s
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Introduction of bias2m 37s
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Accidental data leakage2m 53s
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Reputational loss2m 11s
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Accuracy and performance of the model2m 22s
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Intellectual property risks3m 31s
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Autonomous systems2m 27s
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Shadow IT and shadow AI1m 48s
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Awareness training2m 21s
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