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Agentic artificial intelligence (AI) systems increasingly operate across critical infrastructure and defence sectors and support mission-critical capabilities. As agentic AI systems play a growing operational role, it is crucial for defenders to implement security controls to protect national security and Read More …
In late March 2026open on a new tab, Anthropic inadvertently released the internal Claude Code source material as part of an npm package that included a large internal source map file. Although the incident stemmed from a simple packaging mistake, Read More …
An Anthropic employee accidentally leaked the source code for one of the most popular Artificial Intelligence (AI) assistants out there – Claude Code. Security researcher Chaofan Shou posted on X, saying “Claude Code source code has been leaked via a Read More …
Between late February and March 2026, threat group TeamPCP conducted a highly calculated, escalating sequence of supply chain threats. It systematically compromised widely trusted open-source security tools, including the vulnerability scanners Trivy and KICS and the popular AI gateway LiteLLM. Read More …
Large language models (LLMs) and AI agents are becoming deeply integrated into web browsers, search engines and automated content-processing pipelines. While these integrations can expand functionality, they also introduce a new and largely underexplored attack surface. One particularly concerning class Read More …
The name OpenClaw might not immediately be recognizable, partly because it has undergone several name changes, from Clawdbot to Moltbot, then finally to OpenClaw. Yet one thing is certain: This new digital assistant feels genuinely groundbreaking. It remembers past interactions, Read More …
Large Language Models (LLMs) have exhibited remarkable reasoning capabilities, achieving impressive results across a wide range of tasks. Despite these advances, significant reasoning failures persist, occurring even in seemingly simple scenarios. To systematically understand and address these shortcomings, the authors Read More …
Imagine visiting a webpage that looks perfectly safe. It has no malicious code, no suspicious links. Yet, within seconds, it transforms into a personalized phishing page. This isn’t merely an illusion. It’s the next frontier of web attacks where attackers Read More …
This article examines the security implications of the Model Context Protocol (MCP) sampling feature in the context of a widely used coding copilot application. MCP is a standard for connecting large language model (LLM) applications to external data sources and Read More …
A fundamental challenge with large language models (LLMs) in a security context is that their greatest strengths as defensive tools are precisely what enable their offensive power. This issue is known as the dual-use dilemma, a concept typically applied to Read More …
