Explore how prompt injection and data exfiltration risks threaten AI systems and the critical defenses needed to protect ...

LLMs have already proven that they can turn plain English queries into SQL, which ostensibly is what BI and analytic tools were originally created to do (nothing is stopping hard-core coders from ...

SQL can crunch numbers and identify top-selling products. ... LLMs are best suited for complex, unstructured data, dynamic use cases and enhancing user experience through natural language .

CloudQuery's developer-first approach to cloud governance pulls data from 60-plus sources into a single, queryable data warehouse.

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It's had impressive staying power since it was first coined the Structured Query English ...

Nonetheless, even out-of-the-box LLMs with little modification can identify less complex input sanitization vulnerabilities such as cross-site scripting (XSS) and SQL injection, or even memory ...

Fork that - 5k+ times Anthropic says it won't fix an SQL injection vulnerability in its SQLite Model Context Protocol (MCP) ...

This isn’t just inefficient. It’s costly and, in many cases, ineffective. While LLMs are powerful, they are not the solution to every AI problem.

The future of LLMs lies in their ability to evolve—moving beyond generic solutions to offer deeper understanding, greater precision and specialized functionalities.