From the course: CompTIA SecAI+ (CY0-001) Cert Prep
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Natural language processing
From the course: CompTIA SecAI+ (CY0-001) Cert Prep
Natural language processing
Natural Language Processing, or NLP, is one of the most exciting and fast-moving areas within Artificial Intelligence. It's what allows computers to understand, interpret, and even generate human language, the words we speak, write, and use every day. In cybersecurity, NLP is especially valuable because so much of what we analyze is text. That is system logs, alerts, threat reports, and even attacker communications. Let's break down how NLP works and why it's transforming modern cybersecurity. Early NLP systems relied on statistical models like Bayesian classifiers, which could spot basic word patterns but often missed nuance and context. Today's systems use deep learning to capture meaning and relationships between words. words. This means NLP models can now understand intent, such as recognizing phishing language that tries to trick users into clicking a malicious link or identifying insider threat messages that discreetly reference data exfiltration. So what changed? Large Language…
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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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