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blog.gitguardian.com
| | www.backslash.security
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| | The Model Context Protocol (MCP), an open standard introduced by Anthropic, is transforming software development by providing a universal interface for AI models to securely connect with external tools and data. It addresses the inefficiencies of custom integrations by enabling AI assistants to access real-time context-such as code, documents, and APIs-through a standardized client-server architecture. MCP significantly reduces AI hallucinations and expands AI utility, facilitating automation in coding, documentation, testing, and CI/CD workflows. With rapid adoption by major industry players like OpenAI, Microsoft, and Google DeepMind, MCP is establishing itself as a foundational standard for interoperable and "agentic" AI.
| | www.endorlabs.com
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| | [AI summary] The article discusses the risks and security measures related to AI code assistants in software development, focusing on supply chain attacks and secure coding practices.
| | www.sysdig.com
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| | The Sysdig Sage generative AI cloud security analyst helps security teams thoroughly analyze incidents and accelerate human response
| | github.com
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| :cn: ??: ????????????. Contribute to cdoco/learn-regex-zh development by creating an account on GitHub.