A new report from Splunk looks at the role of observability within today's increasingly complex IT environments.

Based on a survey of 1,850 ITOps and developer professionals, it finds enterprises with good observability resolve issues faster, boost developer productivity, control costs and improve customer satisfaction. Due to such benefits, 86 percent of all respondents plan to increase their observability investments.

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It was 175 years ago that Italian inventor Antonio Meucci came up with the technology that would later be improved and popularized by Alexander Graham Bell to become the telephone.

New research from cloud communications company Sinch finds that newer technologies are starting to change how we communicate -- particularly with businesses -- offering richer, more interactive, and personalized experiences.

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The rush to embrace AI, especially generative AI and large language models, has outpaced most organizations' ability to keep their data safe and effectively enforce security protocols according to a new report.

The study from Swimlane shows 74 percent of cybersecurity decision-makers are aware of sensitive data being input into public AI models despite 70 percent having established protocols in place.

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A new report from Bugcrowd finds 82 percent of ethical hackers and researchers on the platform believe that the AI threat landscape is evolving too fast to adequately secure.

Based on responses from 1,300 users of the platform, the report also finds that 71 percent say AI adds value to hacking, compared to only 21 percent in 2023. In addition, hackers are increasingly using generative AI solutions, with 77 percent now reporting the adoption of such tools -- a 13 percent increase from 2023.

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New research finds that 95 percent of workers would allow an AI avatar to perform tasks in a virtual meeting, such as making presentations, for them.

The study of 4,000 people worldwide from business travel management platform, TravelPerk shows employees prefer to assign admin-focused tasks in meetings to AI avatars, such as reminding them of deadlines (61 percent) or scheduling meetings (54 percent) which can then enable them to focus on more 'human' interactions.

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Large language models generally train on unstructured data such as text and media. But most enterprise data security strategies are designed around structured data (data organized in traditional databases or formal schemas).

The use of unstructured data in GenAI introduces new challenges for governance, privacy and security that these traditional approaches aren't equipped to handle.

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Data from a recent survey conducted by RSA Conference shows that 72 percent of Fortune 1000 CISOs say they have already seen threat actors using generative AI against their organization.

AI-generated phishing emails are the top threat, with 70 percent of CISOs reporting that they've observed highly tailored phishing emails targeting their business Other top GenAI threats include vishing (37 percent), automated hacking (22 percent), deepfakes (21 percent) and misinformation (17 percent).

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Large language models (LLMs) are making their way into more and more areas of our lives. But although they're improving all the time they're still far from perfect and can produce some unpredictable results.

We spoke to CEO of Patronus AI Anand Kannappan to discuss how businesses can adopt LLMs safely and avoid the pitfalls.

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The number of malicious web requests rose by 53.2 percent in the first half of 2024, compared to the same period last year according to a new study.

The report from German cybersecurity company Myra finds that for the first quarter of 2024, the number of malicious requests on websites, online portals and web APIs increased by 29.8 percent compared to 2023. In the second quarter, the growth was even more pronounced at 80 percent.

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There's no doubt that AI is seen as flavor of the month across many sectors at the moment. But how much of this is hype and how much genuine value?

We spoke to Martin Hawksey, collaboration engineer at Qodea, to discuss GenAI and the areas where GenAI is making a real difference, some of which you may not be aware of.

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The IT helpdesk could be extinct by 2027 according to a new survey of 1,000 global IT workers which finds that 79 percent believe the current service desk model will be unrecognizable within three years, with 77 percent saying new technologies will render it 'redundant' by 2027.

The study by digital employee experience company Nexthink shows 87 percent of IT workers also report that, with digital transformation having greatly expanded the size and complexity of enterprise IT environments, incident response is 'economically unsustainable' unless helpdesks have significant proactive capabilities.

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The US banking industry has seen a significant uptick in cyberattacks, particularly in phishing and spoofing, and tactics are becoming increasingly advanced due to AI.

New research from BforeAI analyzed 62,074 domains registered between January and June 2024 with finance-related keywords. Of those registered domains, 62 percent were found to be involved in phishing attacks targeting legitimate entities via spoofing websites.

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Using AI can increase the speed of code development, but it comes with an increased risk of bad code seeping into codebases.

Clean code solutions company Sonar is releasing two new features, Sonar AI Code Assurance and Sonar AI CodeFix. These deepen Sonar's commitment to improving the developer experience and increasing developer productivity to support the delivery of better code.

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A new report reveals that 71 percent of security operations center practitioners worry they will miss a real attack buried in a flood of alerts, while 51 percent believe they can't keep pace with the increasing number of security threats.

The report from Vectra AI shows 47 percent of SOC practitioners don't trust their tools to work the way they need them to work, while 54 percent say the tools they work with actually increase the SOC workload instead of reducing it.

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Malicious actors have been quick to exploit AI, but often security teams are under-equipped with AI solutions to ensure adequate defense.

Red Sift is launching an upskilled LLM assistant that identifies and diagnoses misconfigurations and exposures across email, domains, and internet-facing assets, supporting security teams to prevent incidents before they happen.

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