Two days to a working application. Three minutes to a live hotfix. Fifty thousand lines of code with comprehensive tests.

Vibe coding isn’t just prompting. Learn how to manage context windows, troubleshoot smarter, and build an AI Overview extractor step by step.

LLMs can supercharge your SOC, but if you don’t fence them in, they’ll open a brand-new attack surface while attackers scale faster.

Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.

Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...

By way of definition, AWS Strands is a model-driven framework (i.e. one that uses high-level designs to automatically generate code, which is often used for streamlining complex software development ...

New agent step in Opal figures out the right tools and models it needs to accomplish the user’s objective, Google said.

AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...

The TASKING toolchain has been designed with a foundation that enables OEMs to develop functionally safe and secure systems. Modern AI capabilities are supported within the toolch ...

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

As Chief Information Security Officers (CISOs) and security leaders, you are tasked with safeguarding your organization in an ...

Claude Sonnet 4.6 beats Opus in agentic tasks, adds 1 million context, and excels in finance and automation, all at one-fifth ...