From the course: CompTIA SecAI+ (CY0-001) Cert Prep
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Model guardrails
From the course: CompTIA SecAI+ (CY0-001) Cert Prep
Model guardrails
Model guardrails are the technical and policy safeguards that keep an AI system operating safely. They ensure that the model behaves within acceptable limits, avoids harmful outputs, and follows security and ethical guidelines. In short, guardrails protect users, data, and organizations from unintended or unsafe behavior by AI systems. Guardrails can take many forms, depending on the system's purpose and risk. One form of protection is rule-based filtering. This method looks for specific keywords, phrases, or patterns that may indicate a problem. For example, a rule might block any message that includes a social security number or a forbidden topic. Rule-based filtering is simple to set up, but can sometimes be bypassed by someone using clever wording. To strengthen defenses, many organizations pair rule-based filters with automated content moderation. AI-powered content moderation often uses a secondary model to classify material as safe or unsafe. Many generative AI service…
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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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