Articles about Artificial Intelligence (AI)

As AI and machine learning technologies rapidly evolve, IT professionals must continuously adapt their skills to stay competitive in the workforce. This requires not only technical expertise but also a commitment to lifelong learning, including earning relevant certifications and developing crucial soft skills like communication and adaptability.

Companies can support this growth by fostering a culture of continuous learning, offering reskilling and upskilling opportunities, and providing tailored training paths for their employees. By prioritizing ongoing development, businesses can ensure their workforce remains at the forefront of emerging technologies, preparing them for the challenges of the AI-driven future.

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Despite still being in its infancy, it would be hard to overstate the impact that AI has already had on the cybersecurity landscape.

Not only has AI made it infinitely easier and faster to develop a wide range of traditional attacks -- such as phishing, business email compromise and malware -- it has also opened the door to novel strategies and threats. Worse yet, they allow threat actors to develop significantly more targeted and sophisticated attacks, regardless of their knowledge level or skill.

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According to a new report, 73 percent of IT decision-makers globally are concerned about nation-state actors using AI to develop more sophisticated and targeted cyberattacks.

The study from Armis warns that AI-powered cyberwarfare attacks are now becoming a supercharged cyber weapon and urges organizations to immediately close the divide between current cybersecurity programs and future proactive preparation as threats will increase.

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IBM has announced what it's calling its most advanced mainframe to date, with major new AI capabilities.

Powered by a new IBM Telum II processor, the IBM z17 expands the system’s capabilities beyond transactional AI capabilities, enabling the platform to take on new workloads.

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A new survey, of 1,000 purchasing decision makers across the US, UK, France, and DACH (Germany, Austria and Switzerland) regions, reveals that while AI investment is the top spending priority for nearly half of businesses, only one-fifth of surveyed companies feel confident their data is AI-ready.

The research from Nasuni finds 96 per cent of respondents say they face challenges migrating their file data, creating a major roadblock for AI initiatives. There's also a misalignment in investment priorities, while nearly half of respondents cite AI as their top spending priority over the next 18 months, only a third will invest in the necessary cloud data management.

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Traditional business models are changing as the adoption of artificial intelligence increases. In the professional services sector there's still heavy reliance on spreadsheets, but a recent survey reveals optimism about AI's impact.

We spoke to Andy Campbell, director of solutions marketing at Certinia, to learn about the impact AI is having on professional services and his outlook for the market.

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A new report from AI training company Hoxhunt reveals that AI agents can successfully create more effective simulated mass phishing campaigns than elite human red teams can.

Hoxhunt has been tracking the effectiveness of AI phishing since 2023 when AI was 31 percent less effective than humans. By November 2024, AI was 10 percent less effective than humans via development of Hoxhunt's AI spear phishing agent. As of March 2025 though AI is now 24 percent more effective than human red teams.

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According to a new study, 76 percent of tech leaders say that AI will make their existing low-code/no-code tools more efficient instead of replacing them altogether.

The survey from App Builder, with third-party research firm Dynata, finds use of low-code and no-code tools have steadily increased over the past decade and become an integral piece of how 95 percent of teams now build scalable applications.

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We all know about good bots like search engine crawler bots, SEO bots, and customer service bots. And we know about bad bots, designed for malicious or harmful online activities like breaching accounts to steal personal data or commit fraud.

New research from Barracuda identifies an additional breed of 'gray bots', and these include GenAI scraper bots, designed to extract or scrape large volumes of data from websites, often to train generative AI models. Other examples of gray bots are web scrapers and automated content aggregators that collect web content such as news, reviews, travel offers and more.

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Despite many organizations reporting significant business gains from using GenAI, data privacy is still a major risk. Notably, 64 percent of respondents to a new survey worry about inadvertently sharing sensitive information publicly or with competitors, yet nearly half admit to inputting personal employee or non-public data into GenAI tools.

The latest Data Privacy Benchmark Study from Cisco, with input from from 2,600 privacy and security professionals across 12 countries, shows an increased focus on investing in AI governance processes, an overwhelming 99 percent of respondents anticipate reallocating resources from privacy budgets to AI initiatives in the future.

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Managing and securing the software supply chain end-to-end is vital for delivering trusted software releases.

But a new report from JFrog finds emerging software security threats, evolving DevOps risks and best practices, and potentially explosive security concerns in the AI era.

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Over 70 percent of developers and quality assurance professionals responding to a new survey say their organization is currently developing AI applications and features, with 55 percent stating that chatbots and customer support tools are the main AI-powered solutions being built.

The research from Applause surveyed over 4,400 independent software developers, QA professionals and consumers explored common AI use cases, tools and challenges, as well as user experiences and preferences.

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Research from VikingCloud finds that a successful cyberattack would force nearly one in five small- and medium-sized businesses to close down.

For nearly a third of SMBs, a cyberattack with relatively small financial impact -- less than $10,000 -- would cause them to shut down, according to the report.

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A new report from Zscaler reveals a 3,000 percent year-on-year growth in enterprise use of AI/ML tools, highlighting the rapid adoption of AI technologies across industries to unlock new levels of productivity, efficiency, and innovation.

This surge in adoption also brings heightened security concerns though. According to the study enterprises blocked 59.9 percent of all AI/ML transactions, indicating awareness around the potential risks associated with AI/ML tools, including data leakage, unauthorized access, and compliance violations.

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As organizations race to deliver apps at an unprecedented pace, the rise of freely available AI tools with sophisticated capabilities has made it easier than ever for threat actors to effortlessly reverse-engineer, analyze, and exploit applications at an alarming scale.

A new report from Digital.ai shows that 83 percent of applications are under constant attack, a nearly 20 percent increase from last year, with attack rates surging across all industries.

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