“Frontier LLMs” — 37 distilled results

Small open-weight LLMs outperform single model for malware analysis

An arXiv paper demonstrates that orchestrating multiple small, free-to-use language models can outperform a single large LLM for analyzing malware detonation reports covering filesystem, network, and process behaviors. The approach enables rapid interpretation of complex security data without expensive proprietary models.

rss:arxiv-cscr 68d ago

Tech firms warn of rising AI-enabled cyberattack threats globally

On 27–28 August 2026, OpenAI led an open letter signed by nearly 130 organizations—including Anthropic, Microsoft, Google, Amazon, and Cisco—warning of escalating AI-enabled cyberattacks and urging coordinated global cyber defenses. The coalition cautioned that sophisticated AI-powered attacks could proliferate within months without coordinated action.

stream:bsky-jetstream 12d ago · rss:arxiv-qfin 4d ago · rss:arxiv-cscr 13d ago

SkillBloat: Token Amplification Attacks via Skill Injection in LLM Coding Agents

21929v1 Announce Type: new Abstract: Agent skills extend coding agents with task-specific instructions, scripts, and resources, but they also create a trusted instruction channel that can be abused beyond conventional security attacks. This paper studies token amplification through skill injection: an economic resource-abuse threat in which a malicious skill causes an agent to consume substantially more tokens than needed for normal task execution.

rss:arxiv-cscr 27d ago · mastodon:infosec-exchange 11d ago · rss:arxiv-qfin 28d ago · rss:arxiv-cscr 32d ago · rss:arxiv-cscr 4d ago · rss:arxiv-cscr 14d ago