Katharine Jarmul keynotes on common myths around privacy and security in AI and explores what the realities are, covering design patterns that help build more secure, more private AI systems.

Microsoft has announced that the Microsoft Agent Framework has reached Release Candidate status for both .NET and Python. This milestone indicates that the API surface is stable and feature-complete ...

The goal is to strengthen eSignet’s security, enhance its features and ease its scalability for global deployment, according ...

AI API calls are expensive. After our always-on bot burned through tokens, we found seven optimization levers that cut costs by 45-50% without sacrificing output quality.

That's why OpenAI's push to own the developer ecosystem end-to-end matters in26. "End-to-end" here doesn't mean only better models. It means the ...

Latest update to Anthropic’s popular AI model also promises improvements for computer use, long-context reasoning, agent planning, knowledge work, and design.

The thick client is making a comeback. Here’s how next-generation local databases like PGlite and RxDB are bringing ...

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.

Safe coding is a collection of software design practices and patterns that allow for cost-effectively achieving a high degree ...

Investors reacted to Anthropic’s assertion that Claude Code could streamline legacy COBOL modernization, raising concerns about pressure on IBM’s high‑margin mainframe services despite longstanding ...