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 ...

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.

The Kill Chain models how an attack succeeds. The Attack Helix models how the offensive baseline improves. Tipping Points One person. Two AI subscriptions. Ten government agencies. 150 gigabytes of ...

Abstract: With the continuous development of the digital economy and the changing times, the data era has arrived. Decision-making through data has become a mainstream approach, coupled with the ...

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