News

GitLab has released patches to address multiple flaws, including a maximum-severity security vulnerability that has witnessed in-the-wild probes within hours of public disclosure. The vulnerability in question is CVE-2026-85706 (CVSS score: 10.0), a path traversal issue in the repository commits API that could allow an unauthenticated user to read arbitrary files from the GitLab server under

Anthropic on Thursday said it identified and disrupted industrial-scale illicit distillation attacks against Claude from seven labs based in China, including Alibaba, Moonshot, DeepSeek, Z.ai (aka Zhipu), and MiniMax. Knowledge distillation by itself is a legitimate training method. It refers to a machine learning technique where a large, powerful AI model assumes the role of a "teacher" to

Anthropic has warned that cybercriminals and state-sponsored hackers alike are using its Claude models for cyber attacks, weapons design, propaganda, and mass surveillance between December 2025 and August 2026. The threat actors, which the artificial intelligence (AI) company has branded Generative Threat Groups (GTGs), span state-sponsored groups, financially motivated criminals, commercial

Anthropic on Thursday revealed it disrupted a campaign mounted by a Russian state-sponsored threat actor that abused Claude for developing an AI-assisted workflow to get ahead of the detection curve. The operation has been attributed to a cyber espionage group it calls GTG-20006 (where "GTG" stands for Generative Threat Group), which aligns with broader reporting linking the cluster to Midnight

Security teams have become exceptionally talented at finding vulnerabilities. Now, it’s time to turn our attention to optimizing the process for determining which of those vulnerabilities actually create a path to compromise. A critical vulnerability may look alarming on a scanner report, but if it sits behind strong segmentation, identity controls, and other defenses that prevent an attacker