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Synthetic APTs: the Collapse of TTP-Based Attribution
Announce Type: new Abstract: Cyber Threat Intelligence CTI attribution relies on identifying the Tactics, Techniques, and Procedures TTPs that distinguish one threat actor from another. This approach presupposes that each adversary leaves a recognizable operational fingerprint. This work investigates whether AI driven adversary emulation challenges that presupposition.
Schema-Agnostic Knowledge Graph Construction via Hybrid Ontology Discovery for Cyber Threat Intelligence
arXiv:2606.01208v1 Announce Type: new Abstract: Cyber threat intelligence (CTI) reports now serve as essential resources for capturing adversary tactics, techniques, and procedures observed in modern attack campaigns. While traditional CTI platforms reduce this intelligence to isolated indicators through fixed schemas such as STIX, ontology-based representations preserve the semantic relationships needed for structured threat analysis. However, existing approaches for ontology-aligned CTI...
Data Agents Under Attack: Vulnerabilities in LLM-Driven Analytical Systems
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I climbed the vertical height of Mount Everest in 36 hours—it turned me into 'a new version of myself'
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Maximising the Set-Piece Return: Optimising Football Corner Tactics with Graph Reinforcement Learning
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Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery
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Competitive Instability in Judo: The Hidden Mechanism within an AI-Driven Non-Linear Dynamics Framework
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How Iran’s ‘bazaar style’ negotiation tactic is stalling deal discussions to its benefit
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