Musician sent to prison for $10 million streaming fraud using AI bots
A North Carolina musician was sentenced to 18 months in prison for collecting more than $10 million in royalties from Sp
今日共收录 832 条安全情报,包含 0 个 CVE,435 篇安全通告,以及 100 篇研究论文。
← 返回归档列表A North Carolina musician was sentenced to 18 months in prison for collecting more than $10 million in royalties from Sp
Advantest Corporation is notifying affected individuals that a ransomware attack earlier this year exposed their persona
The Computer Emergency Response Team of Ukraine (CERT-UA) has identified more than 100 compromised websites that have be
The individual was detained in May and has been extradited to Germany to face hacking charges. The post Qilin Ransomware
The Japanese chip testing giant said hackers stole personal information from its servers in the February 2026 cyberattac
Fine-tuning-as-a-service enables users to adapt aligned large language models (LLMs) to specialized tasks, but malicious
An LLM safety patch can pass a benchmark while still being a poor repair. This risk is especially acute for jailbreak re
Large language models (LLMs) have shown strong potential for automated vulnerability patching, but current benchmarks ca
Security Operations Centers (SOCs) for information technology and operational technology share one incident-response pro
Guardrails for tool-using LLM agents are usually application-specific rules, which makes multi-step, data-dependent safe
Forensic reconstruction of LLM-agent actions requires not only recovering the correct value, but establishing which pres
Large language models can triage malware through direct verdicts or behavioral claims scored by an external policy. We p
Policy-based reinforcement learning (RL) approaches have produced promising results for autonomous cyber defense; howeve
Modern agentic coding frameworks increasingly rely on community-shared rule files (e.g., AGENTS.md or .cursorrules) to g
Standard safety evaluations of large language models assess harmful requests written in canonical plain text, while mode
Detection engineers must translate threat reports, forensic observations, and hunt hypotheses into precise, testable rul
LLM agents retrieve untrusted content and act through tools, creating indirect prompt-injection risks that can cause una
LLM-based agents are entering decision-support roles in defence staff work, where the obligations they must respect are
Speculative decoding accelerates inference for a large language model (LLM), referred to as the \emph{target model}, by
Behavioral watermarking embeds an owner identifier in an LLM agent's high-level action choices, giving provenance withou