As AI agents take on real work, new rules for autonomy are emerging that favor reliability, clarity and human control.

Traditional semantic layers often rely on middle-tier caching, introducing additional latency and cost. MetaKarta Semantic Hub takes a different approach through orchestrated materialization, ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Information technology architecture is where abstractions become real. Modern enterprises are increasingly moving toward ...

The 10 coolest open-source software tools in 2025 include software for developing AI agentic applications, managing streams ...

Securing MCP requires a fundamentally different approach than traditional API security. The post MCP vs. Traditional API Security: Key Differences appeared first on Aembit.

Snowflake leads AtScale's strategic financing, underscoring the critical role of semantics in the enterprise data stack.

In the rapidly evolving landscape of AI development tools, a new category is emerging: "Vibe Coding." Leading this charge is ...

A more advanced solution involves adding guardrails by actively monitoring logs in real time and aborting an agent’s ongoing ...

Whether you’re generating data from scratch or transforming sensitive production data, performant test data generators are critical tools for achieving compliance in development workflows.

Amazon Q Developer is a useful AI-powered coding assistant with chat, CLI, Model Context Protocol and agent support, and AWS ...