From the course: CompTIA SecAI+ (CY0-001) Cert Prep
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Log monitoring
From the course: CompTIA SecAI+ (CY0-001) Cert Prep
Log monitoring
Log Monitoring expands visibility beyond individual prompts and responses to the entire AI system environment. It involves collecting and analyzing logs from every component that supports the AI service, including the model, application, and infrastructure. When implemented effectively, Log Monitoring provides real-time awareness of system activity, helps detect anomalies early, and offers clear evidence during security audits. In an AI environment, logs record detailed information, such as timestamps, user IDs or keys, API calls, prompt and response sizes, latency, and error rates. Reviewing these records allows administrators to verify that the system is performing as expected and that security controls are working properly. A sudden spike in errors may indicate that the model is struggling with certain inputs. failed logging attempts might point to an active attack. By continuously monitoring these patterns, organizations can identify and resolve issues before they disrupt…
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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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