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Indicator
Type domain · source intel_report_ingest
Shared non-noise tags (narrow join).
tags: report:arxiv_cs_cr
tags: report:arxiv_cs_cr
tags: report:arxiv_cs_cr
tags: report:arxiv_cs_cr
tags: report:arxiv_cs_cr
tags: report:arxiv_cs_cr
tags: report:arxiv_cs_cr
tags: report:arxiv_cs_cr
High-signal pivots without leaving the thread you started in search.
Structured pivots from local graph context.
Full investigation canvas with neighbor expansion.
Title/body text match only.
To Play or Not to Play: Insights and Lessons Learned from 20 Years of CTFs with ENOFLAG arXiv:2607.13480v1 Announce Type: new Abstract: Security contests in the form of CTF (Capture The Flag) exercises are nowadays a common way to learn cyber security. 20 years ago at DIMVA 2006
A Security Analysis of Long-Horizon Agentic AI Systems: Threats, Evaluation, and Framework Development arXiv:2606.14816v1 Announce Type: new Abstract: This paper presents a structured analysis of security challenges in long-horizon agentic AI systems. The study reviews existing
Withdrawability in Fiat-Shamir with aborts constructions arXiv:2607.05831v1 Announce Type: new Abstract: This article presents an extension of the work performed by Liu, Baek and Susilo on withdrawable signatures to the Fiat-Shamir with aborts paradigm. We introduce an abstract
i-EXAM: Instructable and Explainable Attack Connectivity Graph Modeler arXiv:2607.05888v1 Announce Type: new Abstract: i-EXAM is a planning-powered tool that helps system administrators to create security profiles of complex networks and perform what-if analyses to identify netw
Security and Privacy in Agentic AI: Grand Challenges and Future Directions arXiv:2607.06608v1 Announce Type: new Abstract: We present key challenges and future research directions in the security and privacy of agentic AI, based on a horizon-scanning exercise that brought togeth
Deduped connector weight from graph context.