The Future of AI, Automation & Digital Innovation
93% of companies suffered a security breach due to internally developed code, and 75% admit to intentionally deploying vulnerable code. Generative AI accelerates software production, but also exploitable flaws, and organizations prioritize speed over security.
Visa and OpenAI announce a collaboration to manage transactions initiated by artificial intelligence. While promising advanced security, questions arise about consumer trust and control in an increasingly autonomous ecosystem.
The record $950 million investment in an AI agent startup marks the beginning of a new era: autonomous enterprises. This article analyzes the paradigm shift, its implications, and what business leaders need to know to prepare.
A multidisciplinary team has developed Latent Context Language Models (LCLM), a new architecture that compresses input context up to 16x without significant loss of accuracy. This solves the computational bottleneck of context windows in LLMs, especially in autonomous agents.
The automation of AI research is advancing rapidly. An analysis by Import AI suggests we may be close to a tipping point where machines improve their own algorithms. This raises fundamental questions about control, safety, and the future of work.
AI is transforming modern battlefields: autonomous drones, satellites with onboard processing, and software agents that write military code. This article analyzes the latest advances, their strategic implications, and the risks of an arms race without clear rules.
Oracle has issued an urgent advisory about a security vulnerability that, according to a group of cybercriminals, is being actively exploited in a massive campaign. Google notified more than 100 organizations with potentially vulnerable servers. The flaw affects Oracle Fusion Middleware and allows remote code execution without prior authentication.
Google has announced two major innovations at its I/O 2026 conference: Gemini Omni, a multimodal model that integrates text, image, audio, and video in real time, and Gemini 3.5 Flash, an optimized version for speed and low cost. Both products redefine the AI landscape, directly competing with OpenAI and consolidating Google's leadership in the sector.
A court in Germany has ruled that Google is legally responsible for false statements generated by its AI Overviews tool, based on artificial intelligence. The decision establishes that companies that design, train, and operate AI systems must assume liability for damages caused by their responses, setting a key precedent for AI regulation in Europe and the world.
NVIDIA has unveiled a set of new physical AI skills at CVPR that enable researchers and developers to automate complex workflows for autonomous vehicles, robotics, and computer vision. These skills, integrated with the Cosmos 3 model and NVIDIA libraries, promise to accelerate research by bridging the gap between AI models and complete workflows.
Google has filed a lawsuit against a Chinese cybercrime network that used its own artificial intelligence Gemini to create phishing websites and send millions of fraudulent text messages. The operation, dubbed 'Outsider Enterprise,' offered a phishing-as-a-service (PhaaS) via Telegram, allowing third parties to launch scams without technical knowledge.
Microsoft has introduced ASSERT, an open-source framework that transforms written requirements into automated tests for AI agents. With only 1% of organizations evaluating agents before production, this tool aims to standardize behavioral validation in enterprise environments.