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TIPS: Threat Actor Informed Prioritization of Applications using SecEncoder

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arxiv 2411.07519 v1 pith:43NNHBRS submitted 2024-11-12 cs.CR cs.AI

classification cs.CRcs.AI
keywords tipsapplicationsthreatactorsecurityinformedlanguageprioritization
verification ladder T0 review T1 audit T2 compute T3 formal

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This paper introduces TIPS: Threat Actor Informed Prioritization using SecEncoder, a specialized language model for security. TIPS combines the strengths of both encoder and decoder language models to detect and prioritize compromised applications. By integrating threat actor intelligence, TIPS enhances the accuracy and relevance of its detections. Extensive experiments with a real-world benchmark dataset of applications demonstrate TIPS's high efficacy, achieving an F-1 score of 0.90 in identifying malicious applications. Additionally, in real-world scenarios, TIPS significantly reduces the backlog of investigations for security analysts by 87%, thereby streamlining the threat response process and improving overall security posture.

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