Today, large language models are ubiquitous, embedded in everything from chatbots and coding assistants to research tools. They read documents, browse websites, summarize emails, and reason through structured data. As they become more deeply integrated into products and workflows, a subtle but critically important risk continues to grow: indirect command injection. This attack doesn’t rely…

As Model Context Protocol (MCP) moves from experimental usage into real-world, production-grade AI systems, security concerns are shifting rapidly from models themselves to the protocols that connect them to tools, data, and external services. MCP introduces a standardized way for large language models to consume context and invoke capabilities, effectively acting as the nervous system…

Large Language Models have rapidly transitioned from experimental research artifacts into critical components of modern digital infrastructure. They now power customer support systems, software development tools, document analysis platforms, and autonomous agents embedded directly into business processes. As their influence grows, so does the importance of securing them. LLM security is no longer a niche…