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	<title>MotifTrace &#8211; BIOENGINEER.ORG</title>
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		<title>AI Reads the Hidden Rhythm of Cyberattacks to Reconstruct Multi-Stage Intrusions Automatically</title>
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		<pubDate>Thu, 15 Oct 2026 09:29:02 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[attack path reconstruction]]></category>
		<category><![CDATA[cyberattack investigation]]></category>
		<category><![CDATA[cybersecurity]]></category>
		<category><![CDATA[digital forensics]]></category>
		<category><![CDATA[Hawkes process]]></category>
		<category><![CDATA[intrusion detection]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[MotifTrace]]></category>
		<category><![CDATA[multi-stage attacks]]></category>
		<category><![CDATA[provenance graphs]]></category>
		<category><![CDATA[system audit logs]]></category>
		<category><![CDATA[temporal motifs]]></category>
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					<description><![CDATA[A new provenance-graph framework called MotifTrace automatically discovers attack stages from temporal motifs and reconstructs complete multi-stage cyberattacks, outperforming state-of-the-art investigation methods by over 21 percent across six benchmark campaigns.]]></description>
		
		
		
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