X-Industry

The surge in security vulnerabilities stems primarily from organizations’ increasing adoption of agentic AI applications, particularly those utilizing technologies such as Model Context Protocol (MCP).  This rapid deployment, combined with immature security practices and emerging attack vectors, is creating substantial risk exposure across the enterprise landscape.[1]

Senior Director Analyst at Gartner, Aaron Lord, explained that MCP's design philosophy prioritizes interoperability, ease of use,

Cybersecurity researchers have unmasked a novel ad fraud scheme that has been found to leverage search engine poisoning (SEO) techniques and artificial intelligence (AI)-generated content to push deceptive news stories into Google's Discover feed and trick users into enabling persistent browser notifications that lead to scareware and financial scams.[1]

The campaign, which has been found to target the personalized content feeds of Android and Chrome users, has been codenamed Pushpaganda by HUMA

Ollama is an open-source framework that enables users to run large language models locally on their own hardware. By design, the service binds to localhost (127.0.0.1) on port 11434, making instances accessible only from the host machine. However, exposing Ollama to the public internet requires only a single configuration change: setting the service to bind to 0.0.0.0 or a public interface.  At scale, these individual deployment decisions aggregate into a measurable public surface.[1]

Over the p

Cyberattacks utilizing generative artificial intelligence (GenAI) technology as a tool are expected to grow next year, a government report reported recently.  In 2025, hacking groups are expected to increasingly use various generative AI models, such as ChatGPT, to create spear phishing emails customized to their attack subjects and fake news materials to be used for political propaganda, according to the annual cybersecurity report issued by the Ministry of Science and ICT.  “It will be difficu

Due to economic turbulence and a relentless surge in cyber threats, today's cybersecurity landscape requires enterprises to remain resilient by adapting to security risks.  Many organizations have chosen to adapt to these risks by embracing modern technology such as generative artificial intelligence (GenAI), which can present new risks if not implemented properly.  The speed at which companies innovate and adopt new technology is far outpacing the security measures that must be addressed first.

The introduction of Generative AI (GenAI) promises unprecedented innovation and efficiency across industries.  From automating routine tasks to enhancing decision-making processes, GenAI is transforming the business landscape.  However, as with many groundbreaking technologies, it introduces a new spectrum of cybersecurity risks that must be diligently managed.  Understanding and mitigating these risks is crucial for businesses seeking to harness the power of GenAI while safeguarding their asset

Generative AI (GenAI) technologies have introduced a new era of innovation, offering organizations unprecedented capabilities to create, automate, and optimize.   With these advancements come complex challenges surrounding intellectual property (IP) management. In a post-ChatGPT world, businesses find themselves at a crossroads, needing to adapt their IP strategies to safeguard their assets effectively.

See:  https://redskyalliance.org/xindustry/chatgpt-review

GenAI technologies possess the dual