cyberintel.kalymoon.com · 35417 articles · updated every 4 hours · grows forever
In this Help Net Security interview, Nick Nieuwenhuis, Cybersecurity Architect at Nedscaper, explains why cybersecurity has not delivered the resilience that decades of investment have promised. He ar…
While the numbers are modest, the crackdown on cybercrime involved 13 countries in the MENA region, the largest law enforcement collaboration to date.
GitHub on Tuesday said it's investigating unauthorized access to its internal repositories after the notorious threat actor known as TeamPCP listed the platform's source code and internal organization…
Grafana Labs, on May 19, 2026, said an investigation into its recent breach found no evidence of customer production systems or operations being compromised. It said the scope of the incident is limit…
GitHub is investigating a breach of its internal repositories after the TeamPCP hacker group claimed to have accessed approximately 4,000 repositories containing private code. [...]
Microsoft has shared mitigations for YellowKey, a recently disclosed Windows BitLocker zero-day vulnerability that grants access to protected drives. [...]
Cybersecurity company Quantum Bridge Technologies conducts proof-of-concept (PoC) following the establishment of its exclusive distributor in Tokyo | 2026 - Events & News - Investing in Japan - Japan …
Calling All Digital Identity & Cybersecurity Innovators: Future Digital Awards Now Open for 2026 Yahoo Finance Singapore
Hikvision and Rockwell Automation CVSS 9.8 Flaws Added to CISA KEV Catalog The Hacker News
I'm trying to use Riverlane's newly released Deltakit-Stim (a fork of Stim which includes functionality to simulate leakage errors) to simulate leakage errors but am struggling to get it to work with …
arXiv:2605.19461v1 Announce Type: new Abstract: On-policy reinforcement learning methods like GRPO suffer from mode collapse: they exhibit reduced solution diversity, concentrating probability mass on…
arXiv:2605.19457v1 Announce Type: new Abstract: Automated bidding is central to modern digital advertising. Early rule-based methods lacked adaptability, while subsequent Reinforcement Learning approa…
arXiv:2605.19447v1 Announce Type: new Abstract: Reinforcement learning can train LLM agents from sparse task rewards, but long-horizon credit assignment remains challenging: a single success-or-failur…
arXiv:2605.19418v1 Announce Type: new Abstract: LLM-based multi-agent systems (MAS) have demonstrated strong reasoning and decision-making capabilities that consistently surpass those of single LLM ag…
arXiv:2605.19382v1 Announce Type: new Abstract: Programmatic video generation through code offers geometric precision and temporal coherence beyond pixel-level diffusion models, yet rigorously evaluat…
arXiv:2605.19376v1 Announce Type: new Abstract: How should future neural reasoning systems implement extended computation? Recursive Reasoning Models (RRMs) offer a promising alternative to autoregres…
arXiv:2605.19337v1 Announce Type: new Abstract: A growing body of work explores how Large Language Models (LLMs) can be embedded in trading systems as agents that perceive market information, retrieve…
arXiv:2605.19330v1 Announce Type: new Abstract: LLM agents organize behavior through skills - structured natural-language specifications governing how an agent reasons, retrieves, and responds. Unlike…
arXiv:2605.19264v1 Announce Type: new Abstract: Voting methods weighted by stakes are the fundamental governance paradigm in Proof-of-Stake (PoS) blockchains. Such a paradigm is known to be prone to p…
arXiv:2605.19260v1 Announce Type: new Abstract: Large Multimodal Models (LMMs) have recently emerged as promising backbones for GUI-agent models, where high-resolution GUI screenshots are introduced t…
arXiv:2605.19250v1 Announce Type: new Abstract: Modality-conflict hallucination occurs when multimodal large language models (MLLMs) prioritize erroneous textual premises over contradictory visual evi…
arXiv:2605.19229v1 Announce Type: new Abstract: Survey research faces mounting structural challenges: declining response rates, sample bias, block-wise missingness among at-risk respondents, and AI-as…
arXiv:2605.19219v1 Announce Type: new Abstract: A/B testing remains the gold standard for evaluating modifications to e-commerce storefronts, yet it diverts traffic, requires weeks to reach statistica…
arXiv:2605.19215v1 Announce Type: new Abstract: Adaptive decision-making in biological and artificial intelligence requires balancing the exploitation of known outcomes with the exploration of uncerta…