From the course: CompTIA SecAI+ (CY0-001) Cert Prep
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Data sovereignty
From the course: CompTIA SecAI+ (CY0-001) Cert Prep
Data sovereignty
Data sovereignty is the principle that data remains subject to the laws and regulations of every country or region where it's collected, stored, or processed. Privacy requirements, law enforcement access, tax rules, and breach notification obligations can all change every time data crosses a border or lands in a different cloud region. For AI systems, this shows up everywhere. Training datasets, prompts, logs, and outputs often move through multiple providers and regions within a single workflow. If teams don't control how that movement occurs, the organization may inadvertently violate localization requirements, contract terms, or regulatory restrictions. You can think of sovereignty as a mix of residency, localization, and transfer rules. Residency requirements say that certain data must be maintained within specific geographic regions. regions. Localization laws go further and require that certain data, such as health or financial records, be stored and processed exclusively within…
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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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