Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

Anthropic launches Claude Code Review, a new feature that uses AI agents to catch coding mistakes and flag risky changes before software ships.

Tenable Research revealed "LeakyLooker," a set of nine novel cross-tenant vulnerabilities in Google Looker Studio. These flaws could have let attackers exfiltrate or modify data across Google services ...

IBM announced it is offering the IBM Db2 Developer Extension for Visual Studio (VS) Code-now generally available. Developers live in VS Code, but Db2 development often means switching tools to set up ...

Here’s a quick look at 19 LLMs that represent the state-of-the-art in large language model design and AI safety—whether your goal is finding a model that provides the highest possible guardrails or ...

First of four parts Before we can understand how attackers exploit large language models, we need to understand how these models work. This first article in our four-part series on prompt injections ...

A side-by-side comparison of ChatGPT and Google Gemini, exploring context windows, multimodal design, workspace integration, search grounding, and image quality.

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

Research reveals that LeapLogic delivers significantly higher conversion accuracy, faster transformation and time ...

Ready-to-use configurations for Anthropic's Claude Code. A comprehensive collection of AI agents, custom commands, settings, hooks, external integrations (MCPs), and project templates to enhance your ...