Articles about GenAI

Suno has launched Suno Studio, a generative audio workstation that combines professional multi-track editing with AI-powered stem generation.

AI generated music is a bit of a problem for the industry -- as proven by Spotify’s recent announcement that it will be clamping down on spammy tracks and artist impersonation -- but Suno Studio is being presented as a new way for songwriters, producers, and aspiring artists to create music.

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A new survey from ABBYY highlights the hurdles businesses face when adopting generative AI, revealing that many companies need additional AI tools to get the results they want. The report, State of Intelligent Automation: GenAI Disillusionment and AI Wishlist, points to training, integration and governance as major sticking points.

The research, carried out by Opinium, shows that 31 percent of business leaders find training models more difficult than expected. Another 28 percent say GenAI tools are hard to integrate, while 26 percent cite governance problems. Misuse by staff was flagged by 21 percent of respondents, suggesting that some deployments lack proper oversight.

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LibreOffice doesn’t ship with artificial intelligence features by default, but a new extension gives the office suite AI-powered features thanks to a community effort.

While Microsoft Office has started to integrate AI directly into its products, often tied to cloud subscriptions and proprietary tools, LibreOffice follows a different path where volunteers and independent developers can add optional capabilities through open-source extensions.

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There is no shortage of generative AI tools out there, and the latest is Copilot 3D. This experimental tool from Microsoft does very much what you would expect of it – it creates three-dimensional images using artificial intelligence.

As this is an experimental tool, there are a couple of things to keep in mind. Firstly, it is not a completed product so there may be issues with it. Secondly, this is an experimental tool which is still being developed, so it could change dramatically or even disappear altogether. But let’s take a look at what is currently available.

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Adversaries are weaponizing GenAI to scale operations and accelerate cyberattacks -- as well as increasingly targeting the autonomous AI agents reshaping enterprise operations. This is among the findings of CrowdStrike’s 2025 Threat Hunting Report.

The report reveals how threat actors are targeting tools used to build AI agents -- gaining access, stealing credentials, and deploying malware -- a clear sign that autonomous systems and machine identities have become a key part of the enterprise attack surface.

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There are plenty of genAI options to choose from, and the market for AI image generation is a growing one. With large number of free and paid-for tools vying for attention, standing out from the crowd is hard – and this is why Freepik has just announced unlimited generation of images and video.

This is a unique offering from Freepik, which is already one of the most popular AI image generators available. It marks a change from services that either allow users to generate a limited number of images for free, or force them to buy credits. So what is the catch?

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YouTube has become overrun with mass-produced content generated by artificial intelligence. Known as AI slop, such content has spread cancerously across the video platform as pseudo creators seek to make a quick buck.

Now Google has had enough. Seeking to de-incentivize the creation of such content, it is updating YouTube policies so that it will be much more difficult to make money from AI slop.

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A new report from Fortanix finds that 97 percent of companies block or restrict GenAI usage, and 89 percent of the respondents believe that such controls on usage are successful.

However, the same report -- based on a survey of 1,000 executives -- reveals that 95 percent of professionals use some form of AI, and 66 percent of respondents use GenAI for work, with 64 percent using personal email accounts to access the tools.

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New research reveals that 90 percent of successful attacks against GenAI have resulted in the leakage of sensitive data.

The report from Pillar Security, based on real-world analysis of more than 2,000 AI applications, shows 20 percent of jailbreak attack attempts successfully bypassed GenAI application guardrails and adversaries needed an average of just 42 seconds to execute an attack.

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Although enterprises are adopting GenAI in a big way, only five percent of the 1,000 cybersecurity experts responding to a new survey have confidence in the security measures protecting their GenAI applications even as 90 percent are actively using or exploring its use.

The research from Lakera shows attack methods specific to GenAI, or prompt attacks, are easily used by anyone to manipulate the applications, gain unauthorized access, steal confidential data and take unauthorized actions.

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AI for Absolute Beginners begins with an engaging introduction to the world of Artificial Intelligence, making it approachable for those with little to no knowledge on the subject.

The book unravels the mysteries of AI's evolution, from its historical roots to the cutting-edge technologies shaping our future. By explaining complex concepts in simple terms, this guide aims to illuminate the path for those curious about how AI impacts our world.

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No technology, especially in its early adoption phase, is without fault. Even with the popularity generative AI has gained in both the eyes of businesses and consumers alike, its imperfections cannot be glossed over. Hallucinations and biases in training data, among other issues, are leading business owners to hesitate when considering adoption.

While some early adopters have found ways to adopt large language models (LLMs) as they exist today, many feel they are left with essentially two options. Wait until improvements come or governmental guidelines are put in place to ensure the safe use of the technology, potentially being left behind, or adopt now and without letting AI touch business-critical systems. Neither of these options is truly viable, so where can businesses go from here? Diving below the surface coverage of gen AI to understand both its pros and cons will help modern businesses to determine where they can safely implement LLMs tomorrow.

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Despite what some might think, no, bots probably won't come looking for your job, but they may well attack your intellectual property. Generative AI (GenAI) has become a transformative technology for businesses in more ways than one.

In 2024, its widespread adoption will undoubtedly have an impact on organizations across all industries, resulting in increased productivity and efficiency. However, GenAI can be a double-edged sword. Organizations need to tread carefully when assessing organization security risk, especially when it comes to data protection.

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In the past year, Generative AI (GenAI) availability for businesses has swept the market, offering significant boosts in productivity. To successfully seize this opportunity, however, businesses will need to ensure they invest in the right solutions.

Faced with options like commercial AI services and customizable open-source Large Language Models (LLMs), business leaders must navigate a complex landscape of risks and benefits. This choice, influenced by factors like speed to market and data security, is crucial for companies looking to strategically invest in GenAI.

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With the rapid proliferation of Generative AI (GenAI), developers are increasingly integrating tools like ChatGPT, Copilot, Bard, and Claude into their workflows. According to OpenAI, over 80 percent of Fortune 500 companies are already using GenAI tools to some extent, whilst a separate report shows that 83 percent of developers are using AI-tools to speed up coding.

However, this enthusiasm for GenAI needs to be balanced with a note of caution as it also brings a wave of security challenges that are easily overlooked. For many organizations, the rapid adoption of these tools has outpaced the enterprise's understanding of their inherent security vulnerabilities. This would yield a set of blocking policies for example, Italy had at one point this year completely blocked usage of GPT, which is never the answer.

This misalignment could not only compromise an organization’s data integrity but also impact its overall cyber resilience. So, how should AppSec teams, developers, and business leaders respond to the security challenges that accompany the widespread use of GenAI?

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