Articles about Artificial Intelligence (AI)

A new report shows that 52 percent of UK SMEs are already using or plan to adopt AI tools within the next 12 months.

The study, from fintech company SumUp, is based on a survey of 750 business owners and decision makers within small UK businesses and finds that 27 percent see AI mostly as an opportunity, highlighting its potential to drive growth or increase efficiency.

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The Swiss have something of a reputation for being methodical -- particularly when it comes to things like banking -- so it’s no surprise that they take a similar approach to creating a large language model.

EPFL, ETH Zurich and the Swiss National Supercomputing Centre (CSCS) have today released Apertus, a large-scale, open, multilingual LLM. Apertus -- Latin for ‘open’ -- the name highlights its distinctive feature, that the entire development process, including its architecture, model weights, and training data and recipes, is openly accessible and fully documented.

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Artificial intelligence is making its way into more and more areas of our lives and it seems that includes our dreams.

New research from Amerisleep.com, shows that one in five Americans have dreamed about AI and 16 percent are doing so several times a month. While these dreams may reflect curiosity, some reveal anxieties about the role of technology.

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With cyber threats becoming more numerous and ever more sophisticated, it’s becoming more critical than ever for organizations to prioritize targeted threats, optimize their existing defensive capabilities and proactively reduce their exposure.

One-time security assessments are looking increasingly inadequate. We spoke to CyberProof CEO Tony Velleca to discuss how organizations can effectively implement a Continuous Threat Exposure Management (CTEM) strategy to improve their protection.

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The security operations center (SOC) has long relied on traditional SOAR platforms to manage incidents, but today’s threat landscape is moving too fast for rigid, static approaches. As attackers use AI to evolve their tactics, security teams need smarter, more adaptive systems to keep up.

We spoke to Tom Findling, co-founder and CEO of Conifers.ai, about how AI-powered SOC platforms are helping organizations scale their defenses, improve threat detection, and move from reactive alert management to proactive risk reduction.

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A survey of 800 senior developers has 75 percent of respondents saying they expect AI to significantly transform the industry within the next five years. What’s more 53 percent say they believe large language models can already code better than most humans.

The survey, from Clutch, reveals that AI has already become a daily tool for many software teams. 49 percent of senior developers and team leads say they use AI tools every day. Another 29 percent use them most days, meaning 78 percent rely on AI regularly.

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IT leaders are optimistic about the value AI can deliver, but readiness is low. Many organizations still lack the security, governance and alignment needed to deploy AI responsibly.

A new study by the Ponemon Institute for OpenText finds 57 percent of CIOs, CISOs, and other IT leaders rate AI adoption as a top priority, and 54 percent are confident they can demonstrate ROI from AI initiatives. However, 53 percent say it is ‘very difficult’ or ‘extremely difficult’ to reduce AI security and legal risks.

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As students head back to university and college and engage with more digital platforms than ever, new research shows today’s tech-savvy demographic is sounding the alarm on digital identity protection as AI-generated scams surge.

The 2025 Online Identity Study from Jumio shows students globally are both early adopters of generative AI, with 70 percent using AI to create or modify images, but also the group most exposed to its risks.

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If you’ve seen ‘Blade Runner’ you’ll know how difficult it can be to determine if someone is human or not. While that was fiction it’s worth remembering that it was set in 2019.

In 2025 and in the real world it’s becoming increasingly difficult to tell humans from bots in the online world. AI-powered bots, nearly indistinguishable from humans, are multiplying rapidly. This presents a growing nightmare for headhunters, security officers and more. We spoke to Terence Kwok, founder and CEO of blockchain identity platform Humanity Protocol, about the challenge of verifying humanity online.

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Today's security operations center has to deal with a relentless flood of telemetry from IaaS, SaaS, identity providers, endpoints, and email providers. While AI can help many existing solution focus only on a small portion of SOC challenges.

Exaforce is launching its agentic security operations (SOC) platform, combining AI-native capabilities for the entire SOC lifecycle alongside a fully managed MDR service. It aims to employ agentic AI across the entire security operations lifecycle, spanning threat detection, alert triage, investigation, threat hunting, and response.

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As cyber threats become more frequent and complex, CISOs are increasingly concerned about their organization’s ability to withstand a material attack. 76 percent feel at risk of experiencing a material cyberattack in the next 12 months, yet 58 percent say they are unprepared to respond.

The latest Voice of the CISO report from Proofpoint surveyed 1,600 global CISOs across 16 countries and finds human behavior remains a critical vulnerability, with 92 percent attributing at least some data loss to departing employees.

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Over the year from August 2024 to July 2025 the top 10 AI chatbots collectively pulled in 55.88 billion visits, accounting for 58.8 percent of all AI tool traffic.

Within this group, ChatGPT is the undisputed leader, drawing 46.6 billion visits (up 106 percent year-on-year) and holding 48.36 percent of the entire AI tools market share.

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More organizations are turning to AI to assist in their digital transformation efforts, but many projects get stuck in the pilot phase.

That’s not necessarily a sign of failure though. Rather, it reflects that AI is still in its formative stage, with its most transformative impact still ahead. We spoke to Nadav Eiron, SVP of cloud engineering at Crusoe to learn more about how AI can transition from experimentation to integration, and from potential to permanence.

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Artificial intelligence is making insider threats more effective according to a new report which also shows that 53 percent of respondents have seen a measurable increase in insider incidents in the past year.

The survey, of over 1,000 cybersecurity professionals, from Exabeam finds 64 percent of respondents now view insiders, whether malicious or compromised, as a greater risk than external actors. Generative AI is a major driver of this, making attacks faster, stealthier, and more difficult to detect.

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A new survey from Gurucul in collaboration with Cybersecurity Insiders finds that 87 percent of respondents are deploying, piloting or evaluating AI-powered SOC tools, but only 31 percent are using them across core detection and response workflows.

The study, based on responses from over 700 cybersecurity leaders around the world, finds human and identity risks are still a major concern. 78 percent of security leaders identify social engineering and phishing as their top threat, followed closely by identity-based attacks (73 percent). However, 67 percent say they still lack visibility into access behavior and lateral movement.

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