Learn how Zero-Knowledge Proofs (ZKP) provide verifiable tool execution for Model Context Protocol (MCP) in a post-quantum world. Secure your AI infrastructure today.

Learn how to secure Model Context Protocol (MCP) deployments with post-quantum cryptography and agile policy enforcement for LLM tools.

Nearly two-thirds of Java users surveyed rely on Java for developing AI applications, with JavaML, Deep Java Library, and OpenCL being the most-used libraries.

Abstract: The Model Context Protocol (MCP) plays a crucial role in extending the capabilities of Large Language Models (LLMs) by enabling integration with external tools and data sources. However, the ...

Embed AI agents into your apps with GitHub's new SDK, simplifying integration across Node.js, Python, Go, and .

Anthropic’s one step closer to having an everything app. Anthropic’s one step closer to having an everything app. is a London-based reporter at The Verge covering all things AI and Senior Tarbell ...

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...

The most popular trusted model context protocol (MCP) servers on the Web today contain severe cybersecurity vulnerabilities. The Internet of AI forming all around us is growing larger and more ...

The Forge has listened to player feedback and added support for private servers. If you have been battling with exploiters and hackers to mine and secure ores, that will be a thing of the past with ...

Highlighting an example, the company said a BigQuery MCP server will allow an agent to interpret table schemas, run queries directly on enterprise data, and get insights without having to move data ...