Explore MCP vulnerabilities in a post-quantum world. Learn about PQC solutions, zero-trust architecture, and continuous monitoring for AI infrastructure security.

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

How animals may modify their behavior depending on their context has been modeled mathematically by two RIKEN neuroscientists. Their simple but biologically plausible model could shed light on mental ...

Anthropic’s model context protocol (MCP), the ‘plug-and-play bridge for LLMs and AI agents’ to connect with external tools, has received a major update one year after its launch. The developer of ...

As artificial intelligence applications proliferate across healthcare, the model context protocol is an emerging industry standard that defines how AI systems, large language models and agent-based ...

A few days ago, Google finally explained why its best AI image generation model is called Nano Banana, confirming speculation that the moniker was just a placeholder that stuck after the model went ...

When security researchers submit a vulnerability report to MSRC, the Vulnerabilities and Mitigations (V&M) team reviews it, reproduces the issue, and determines severity. The team reviews all ...

Making inherently probabilistic and isolated large language models (LLMs) work in a context-aware, deterministic way to take real-world decisions and actions has proven to be a hard problem. As we ...

MCP certification is a hot topic in AI hiring. Here’s what courses are available now, when official certification might arrive, and why it may not solve every problem. The Model Context Protocol (MCP) ...

Researchers at DeepSeek on Monday released a new experimental model called V3.2-exp, designed to have dramatically lower inference costs when used in long-context operations. DeepSeek announced the ...