cyberintel.kalymoon.com · 4646 articles · updated every 4 hours · grows forever
arXiv:2606.14923v1 Announce Type: new Abstract: As language-model agents increasingly work in teams, each agent must decide how much to trust its teammates. Yet we lack a standard way to measure trust…
arXiv:2606.14892v1 Announce Type: new Abstract: An artificial intelligence must have a model of its environment that is causal, supporting reasoning about interventions and counterfactuals, and also c…
arXiv:2606.14885v1 Announce Type: new Abstract: Agentic search over large corpora relies on retriever-mediated interfaces (e.g., BM25 or ColBERT) for scalable candidate discovery. While effective at r…
7 Cybersecurity Trends to Know in 2026 Coursera
The 11 hardest IT roles to fill in 2026 — and what’s changed cio.com
arXiv:2606.14838v1 Announce Type: new Abstract: How to define a good explanation is a long-standing philosophical debate which has found recent renewed interest in the context of AI outputs. Explainab…
arXiv:2606.16052v1 Announce Type: new Abstract: Online scams have become a pervasive global threat, causing substantial financial, psychological, and operational harm. Scammers embed psychological tec…
arXiv:2606.16040v1 Announce Type: new Abstract: In a short 2012 preprint, an unconventional cipher was introduced, now in this note we take that representational core, formalize it, and use it as the …
arXiv:2606.16021v1 Announce Type: new Abstract: We give a witness-finding cryptanalysis of Stickel-type key exchange schemes, which involve two-sided multiplication of $n \times n$ matrices over $\mat…
arXiv:2606.15899v1 Announce Type: new Abstract: Open-source LLM agent ecosystems are growing rapidly, yet the security of community-contributed skills - modular tool definitions that extend agent capa…
arXiv:2606.15811v1 Announce Type: new Abstract: Software supply-chain (SSC) attacks are increasingly multi-stage, cross-source, and temporally distributed. A single attack campaign may leave weak and …
arXiv:2606.15810v1 Announce Type: new Abstract: Large language models deployed as commercial APIs are vulnerable to model extraction attacks, while existing defenses either act too late or degrade uti…
arXiv:2606.15809v1 Announce Type: new Abstract: Hardware security competitions such as HackTheSilicon serve as benchmarking platforms for evaluating vulnerability detection methods and for training hu…
arXiv:2606.15788v1 Announce Type: new Abstract: Large Language Models (LLMs) constitute pivotal components within the AI-dominated information technology ecosystem. To mitigate risks associated with h…
arXiv:2606.15762v1 Announce Type: new Abstract: We ran 300 repeated vulnerability-finding scans to measure how repeatable agentic large language model (LLM) security review is on the same JavaScript c…
arXiv:2606.15712v1 Announce Type: new Abstract: We ask a structural question: given unreliable elementary problem-solvers, what organizations of them solve hard problems reliably, and what are the lim…
arXiv:2606.15650v1 Announce Type: new Abstract: We present AnonShield, a high-throughput, on-premise pseudonymization system that combines GPU-accelerated NER, streaming processing, caching, and schem…
arXiv:2606.15609v1 Announce Type: new Abstract: Large language model (LLM) agents increasingly rely on long-term memory to support complex task execution, user personalization, and domain adaptation. …
arXiv:2606.15549v1 Announce Type: new Abstract: The adoption of AI agents is increasing rapidly. Terminal AI agents, i.e., AI agents that run in terminal environments, are a widely used type of AI age…
arXiv:2606.15543v1 Announce Type: new Abstract: Answering statistical queries over sensitive data under differential privacy (DP) is a common task in many settings, including databases, mobile computi…
arXiv:2606.15465v1 Announce Type: new Abstract: This paper presents an empirical analysis of the Web3 security landscape over the four-year and three-month period from 1 January 2022 to 27 March 2026.…
arXiv:2606.15441v1 Announce Type: new Abstract: Indirect prompt injection attacks hijack LLM-based agents by embedding malicious instructions in third-party data that the agent retrieves during task e…
arXiv:2606.15242v1 Announce Type: new Abstract: Skills are becoming the capability layer through which LLM agents turn plans into actions, but their use introduces security risks such as data leakage,…
arXiv:2606.15229v1 Announce Type: new Abstract: Network scanning is a critical preliminary step for most adversaries to gain essential information before launching cyber attacks. Moving Target Defense…