Articles about Artificial Intelligence

Software is immensely pervasive and foundational to innovation and market leadership. You’ve likely heard the popular phrase coined by McKinsey that "all companies are software companies." It’s true that businesses are competing and winning in their markets based on their ability to digitize and innovate. Almost every major enterprise, no matter its industry, relies heavily on software to deliver services, manage operations internally or promote itself.

Software starts with code, which means that secure or insecure code starts in development. As long as we continue to view security as a bolt-on or an after-the-fact fix, we’ll continue to widen the chasm between the pace of digital innovation and security’s ability to keep up. With AI-generated code increasing the volume and speed of software production without an eye toward code quality, this problem will only worsen. The world needs Clean Code. Without it, the performance of software will suffer, negatively impacting the business. 

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Productivity has significant importance in the contemporary dynamic work environment. AI has the potential to enhance operational efficiency and optimize operations by eliminating unnecessary tasks. AI has the potential to automate many procedures, provide valuable insights, and enhance workflows, hence enhancing professional productivity and overall cloud data management.

This piece explores the potential of artificial intelligence (AI) to enhance productivity.

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The shift to remote and hybrid working has led to many problems for IT teams, not least that it offers an expanded attack surface. Add in the threat from cybercriminals looking to capitalize on advanced AI capabilities to create malware and you have some major challenges.

We spoke to Doug Kersten, CISO of enterprise collaboration specialist Appfire, to discuss the key security challenges product and DevOps teams face today and how to overcome them.

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It is only a couple of weeks since the debut of the Microsoft AI Bounty Program, and now Google has launched its own bug bounty program specific to generative AI.

Google has announced the expansion of its existing Vulnerability Rewards Program to reward for attack scenarios that relates to generative AI. The company says that it wants to incentivize research around AI safety and security, highlight potential issues, and make artificial intelligence safer for everyone.

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You can’t have failed to have noticed that Microsoft has gone all-in on artificial intelligence lately. The company has created Copilot, an AI assistant, and added it to a number of its products, including Bing, Edge, and Windows 11.

While it’s a worthy addition that’s only going to get more useful over time, not everyone wants AI invading their software. We’ve already shown you how to remove Copilot from Windows 11, but how about removing it from Microsoft Edge?

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It’s almost impossible to escape the hype around artificial intelligence (AI) and generative AI. The application of these tools is powerful. Text-based tools such as OpenAI’s ChatGPT and Google’s Bard can help people land jobs, significantly cut down the amount of time it takes to build apps and websites, and add much-needed context by analyzing large amounts of threat data. As with most transformative technologies, there are also risks to consider, especially when it comes to cybersecurity.

AI-powered tools have the potential to help organizations overcome the cybersecurity skills gap. This same technology that is helping companies transform their businesses is also a powerful weapon in the hands of cybercriminals. In a practice, that’s sometimes referred to as offensive AI, where cybercriminals use AI to automate scripts that exploit vulnerabilities in an organization’s security system or make social engineering attacks more convincing. There’s no doubt that it represents a growing threat to the cybersecurity landscape that security teams must prepare for.

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As artificial intelligence (AI) and machine learning technology continue to develop and find new applications, advances in this field have generally been focused on the development of isolated software data analysis systems or of control systems for robots and other devices. By applying model-based systems engineering to AI, however, engineers can design complex systems that rely on AI-based components, resulting in larger, more complex intelligent systems that successfully integrate humans and AI.

Engineering Intelligent Systems: Systems Engineering and Design with Artificial Intelligence, Visual Modeling, and Systems Thinking relies on Dr. Barclay R. Brown’s 25 years of experience in software and systems engineering to propose an integrated perspective to the challenges and opportunities in the use of artificial intelligence to create better technological and business systems.

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Securing the software supply chain presents many challenges. To make the process easier OX Security recently launched OX-GPT, a ChatGPT integration aimed specifically at improving software supply chain security.

We spoke to Neatsun Ziv, co-founder and CEO of OX Security, to discuss how AI can present developers with customized fix recommendations and cut and paste code fixes, allowing for quick remediation of critical security issues across the software supply chain.

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Qualcomm has brought excitement to the stagnant Windows 11 notebook market with today’s announcement of the new ARM-based Snapdragon X Elite platform at the Snapdragon Summit. This new platform, equipped with the custom-designed Qualcomm Oryon CPU, is poised to set a new benchmark in mobile computing by offering up to double the CPU performance of its competitors at a fraction of the power.

At the heart of Snapdragon X Elite is its custom integrated Qualcomm Oryon CPU. The platform not only matches the peak performance of competitors but achieves this feat with just one-third of the power.

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A new survey of 300 senior cybersecurity stakeholders finds that 98 percent are concerned about the cybersecurity risks posed by ChatGPT, Google Bard, WormGPT, and similar tools.

The report from Abnormal Security shows the main worry is the increased sophistication of email attacks that generative AI will make possible -- particularly, the fact that generative AI will help attackers craft highly specific and personalized email attacks based on publicly available information.

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We've all heard about how AI is being used to improve cyberattacks, by creating better phishing emails for example, but does AI really have the same potential for being sneaky as humans?

New research from IBM X-Force has set out to answer the question, ‘Do the current Generative AI models have the same deceptive abilities as the human mind?’

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A new anti-fraud tool from Jumio uses predictive analytics and AI to look at billions of data points across the company's cross-industry network to identify patterns based on behavioral similarities and other indicators.

Jumio's analysis shows that 25 percent of fraud is interconnected, either being perpetrated by fraud rings or by individuals using the same information or credentials to open new accounts on banking sites, eCommerce platforms, sharing economy sites, etc.

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AI is just about everywhere now. Its ubiquity makes it nearly impossible to avoid, and Microsoft is just one of the big tech firms to have thrown everything at artificial intelligence.

As well as adding AI to Windows 11 with Copilot, Microsoft has also brought a generous dose of it to its Edge browser courtesy of Bing Chat. What users of this feature may not be aware of is that their browsing data is being used to personalize Copilot, meaning that a huge amount of potentially revealing information is being shared with the artificial intelligence tool.

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The European Union first proposed introducing a regulatory framework for AI back in 2021, the wheels of politics inevitably grind slowly, however, and it's still working on legislation to bolster regulations on the development and use of artificial intelligence.

The proposed Artificial Intelligence Act has sparked a good deal of debate in the industry with many worried that it could harm business competitiveness.

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Adobe has released Photoshop Elements 2024, the latest version of what amounts to a cheap (ish), lightweight version of its Photoshop image editor. Some of the changes to be found in this latest release are AI-powered tools, much like many of the most exciting changes in its big sibling.

There are many reasons some people are put off by Photoshop, including its complexity and steep learning curve. But the fact that modern editions are only available on a subscription basis is turn-off for many. Not so with Adobe Photoshop Elements 2024. Here, you get the best of all worlds -- a powerful yet accessible image editor, incredible new tools powered by artificial intelligence, and an old-fashioned pay-once price tag.

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