DataSQRL is an open-source data engineering harness that provides guardrails and feedback for AI coding agents to build reliable data pipelines, data APIs, and data products. DataSQRL ensures coding ...

HI This is anjaiah Methuku Working as Sr Software Engineer(Data & AI Engineer) at JP Morgan Chase Data teams spend hours writing SQL queries, pivoting spreadsheets, and waiting for analysts to pull ...

AI is changing the security landscape. More and more threat groups incorporate LLMs into their reconnaissance and exploitation workflows. The notion that some vulnerabilities are too complex to ...

The Iranian state-sponsored threat actor known as Nimbus Manticore (aka Screening Serpens and UNC1549) has been attributed to a fresh campaign using lures impersonating organizations in the aviation ...

If you want to build AI agents without writing code, you’re probably stuck choosing between tools that all promise automation but work very differently. This guide is about finding the best no-code AI ...

In addition to rolling out patches to address two zero-days affecting SQL Server and .NET, Microsoft introduced Common Log File System hardening with signature verification. The team at Readiness each ...

Microsoft’s March Patch Tuesday fixes 78 vulnerabilities, including Office preview pane flaws, an Excel Copilot data leak risk, and an AI-discovered 9.8 severity bug. Microsoft’s March Patch Tuesday ...

Today is Microsoft's March 2026 Patch Tuesday with security updates for 79 flaws, including 2 publicly disclosed zero-day vulnerabilities. This Patch Tuesday also addresses three "Critical" ...

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When we hit Publish in Copilot Studio, the agent should be published without errors. However, we have noticed complaints regarding the following error message, which ...

Last month, a friend called me in a panic. His company had deployed an AI agent that helped customers query their account data. Worked great in demos. Passed QA. Everyone was happy. Then someone typed ...

Abstract: Deploying Text-to-SQL in resource-constrained enterprise environments presents a dichotomy: proprietary Large Language Models (LLMs) pose privacy and cost concerns, while smaller open-source ...