We're currently at a pivot point in how we apply AI to security. Until now, most of our GenAI pilots have been passive—smart chatbots that can answer questions but can't do anything. They're isolated ...

As Model Context Protocol (MCP) usage accelerates, KYND is calling on the insurance industry to rethink its approach to cyber exposure and to increase technical awareness of MCP, as it introduces a ...

As Model Context Protocol (MCP) usage accelerates, KYND is calling on the insurance industry to rethink its approach to cyber exposure and to increase technical awareness of MCP, as it introduces a ...

Abstract: This study presents a security-oriented evaluation of the Model Context Protocol (MCP), an open standard enabling large language models (LLMs) to interface with external tools through ...

Claude’s Model Context Protocol promises a new way for AI to understand tools, data, and workflows. This test looks at how it behaves outside of theory. Real tasks expose strengths and limitations ...

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AI innovation today is moving faster than ever before, with leaps and bounds being made in the field on what seems like a weekly basis. Further to innovation that is directly related to or produced by ...

A new research report out today from cyber risk management company Bitsight Technologies Inc. warns about the security posture of the rapidly growing Model Context Protocol ecosystem by revealing that ...

Tech companies are capitalizing on the growing wave of enterprise AI agent adoption by establishing standards for the technology’s development that allow greater interoperability between different ...

Anthropic has announced the donation of its Model Context Protocol to the Agentic AI Foundation, fostering collaboration and innovation in AI development. Anthropic, a prominent AI safety and research ...

Ending a period of proprietary fragmentation, Anthropic has transferred stewardship of its Model Context Protocol (MCP) to the newly formed Agentic AI Foundation (AAIF). The move unites fierce ...

The series has 2 models. GLM-4.6V is a 106B parameter foundation model for cloud and high performance cluster workloads. GLM-4.6V-Flash is a 9B parameter variant tuned for local deployment and low ...