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	<title>threat intelligence extraction &#8211; Blue Headline</title>
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		<title>🔥 LLMs Are Dangerously Confident When They’re Wrong in Cybersecurity</title>
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		<pubDate>Sun, 13 Apr 2025 06:13:20 +0000</pubDate>
				<category><![CDATA[Cybersecurity & Digital Integrity]]></category>
		<category><![CDATA[AI hallucinations]]></category>
		<category><![CDATA[AI overconfidence]]></category>
		<category><![CDATA[CTI automation]]></category>
		<category><![CDATA[cyber threat report analysis]]></category>
		<category><![CDATA[fine-tuning failures]]></category>
		<category><![CDATA[GPT-4 cybersecurity]]></category>
		<category><![CDATA[LLMs in cybersecurity]]></category>
		<category><![CDATA[model calibration]]></category>
		<category><![CDATA[prompt engineering in CTI]]></category>
		<category><![CDATA[threat intelligence extraction]]></category>
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					<description><![CDATA[LLMs are overconfident and inconsistent in cybersecurity tasks, often making critical CTI mistakes with high certainty. Here’s why that’s a problem.]]></description>
		
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