In this Q&A, TechMentor speaker Mayuri Lahane outlines the habits, constraints and evaluation practices that can help teams turn AI experimentation into repeatable workflows.

For years, the cybersecurity industry has spoken about AI attacks in the future tense. We imagined sentient super-hackers dismantling firewalls with alien logic. The reality, as we are discovering in ...

In today's security landscape, some of the most dangerous vulnerabilities aren't flagged by automated scanners at all. These ...

OpenAI launches ChatGPT Images 2.0 with image editing, reasoning, web research, multilingual support, and better text ...

Office Solution AI Labs launches Pulse Convert, automating Tableau, Qlik, SAP BO, Alteryx, & SSIS migrations to ...

Anthropic introduces “repeatable routines” in Claude Code, bringing AI-powered automation and a redesigned workspace to ...

The latest monthly Patch Tuesday update from Microsoft landed earlier on 14 April, including two notable zero-day flaws amid ...

LLMs are quietly reshaping data journalism workflows at The Hindu, helping reporters process vast document sets, write ...

AI is stress-testing database infrastructure. Teams using Liquibase Community face scaling challenges that only Liquibase Secure can solve.

It's not even your browser's fault.

AI chatbots make it possible for people who can’t code to build apps, sites and tools. But it’s decidedly problematic.

I am a Backend Developer and Software Engineer with a solid background in Artificial Intelligence in academic and professional fields, looking forwa ...