Articles about Artificial Intelligence

Network management and security should go hand in hand. However, making these services work has become more complicated and riskier due to the growth of the public cloud, the use of software applications, and the need to integrate different solutions together.

This complex network security domain requires more skilled cybersecurity professionals. But as this need becomes obvious, so does the glaring skills gap. In the UK, half of all businesses face a fundamental shortfall in cybersecurity skills, and 30 percent grapple with more complex, advanced cybersecurity expertise deficiencies.

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New research from Cisco reveals that just 14 percent of organizations globally are fully prepared to deploy and leverage AI-powered technologies.

The company’s first AI Readiness Index surveyed over 8,000 global companies, and was developed in response to the accelerating adoption of AI, a generational shift that is impacting almost every area of business and daily life.

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A new survey of over 900 global IT decision makers shows that although 89 percent of organizations consider GenAI tools like ChatGPT to be a potential security risk, 95 percent are already using them in some form within their businesses.

The research for Zscaler, carried out by Sapio Research, also reveals 23 percent of those using GenAI aren't monitoring the usage at all, and 33 percent have yet to implement any additional GenAI-related security measures -- though many have it on their roadmap.

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The AI Product Manager's Handbook is for people that aspire to be AI product managers, AI technologists, and entrepreneurs, or for people that are casually interested in the considerations of bringing AI products to life.

It should serve you if you’re already working in product management and you have a curiosity about building AI products.

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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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New technologies debut almost every day. This constant barrage of novel tools creates a perpetual cycle of overshadowing -- someone is always introducing a new technology that eclipses the previous innovation, and then something even newer comes out, and the cycle repeats itself. However, OpenAI’s ChatGPT broke that cycle.

Since ChatGPT’s debut in late 2022, the generative AI tool has exploded in popularity. It took just two months for the platform to reach 100 million users, a speed that shattered the previous record for fastest-growing app. The creators of ChatGPT expect the tool to generate $200 million this year and project that number will grow to $1 billion next year. Other businesses, like Google and Grammarly, are taking note. Both of these organizations have developed their own generative AI tool to enhance their business operations.

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With ever more organizations rushing to adopt AI solutions, a new report suggests that implementing stronger data governance and security controls will be a higher priority for data teams as we head into 2024.

The report from data security company Immuta finds that only half of respondents say their organization's data security strategy is keeping up with AI's rate of evolution.

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In Causal Artificial Intelligence: The Next Step in Effective, Efficient, and Practical AI, a team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI.

The book’s discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings.

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A new survey from Snow Software reveals that 72 percent of IT leaders believe their organization will be using more AI in the next two to three years.

The poll of 800 IT leaders from the United States, United Kingdom, Germany and Australia set out to assess how IT decision makers' priorities have shifted over the past 12 months and outline their top areas of focus as they head into the new year.

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Windows Copilot has been available to users of Windows 11 for a little while now, as Microsoft continues its march into the world of artificial intelligence. Now it seems that the company is looking bring the AI-powered assistant to Windows 10 as well.

This is, in some regards, a little surprising -- particularly given the age of Windows 10. But there are still over a billion Windows 10 users out there, so it makes a lot of sense for Microsoft to tap into this to extend the userbase for Copilot.

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Given all the interest in AI at the moment it's no surprise that cybercriminals are keen to cash in with a rise in AI themed attacks.

One way of doing this is with a .ai domain name. An unexpected beneficiary of this is the British Overseas Territory of Anguilla which has .ai as its country code.

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Financial market participants, including banks, insurance companies, pension funds, and hedge funds, are all actively exploring ways to leverage artificial intelligence (AI), and private equity (PE) firms are no exception.

Three areas that are showing a significant return on investment (ROI) for AI among PE firms are deal flow, investment pre-screening, and risk intelligence, because it’s these areas where AI is helping them shift their window to act earlier than their peers. The private companies that PE firms invest in are simply far less transparent than public ones: There’s just not as much information about them, and the information that exists is generally much harder to get.

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European lawmakers are plowing ahead with what could be one of the most important pieces of legislation in a generation. The EU AI Act will take a notably more proactive approach to regulation than current proposals in the US and UK. But experts have spotted a critical loophole introduced in amendments to the legislation that could expose rather than protect citizens and societies from AI risk.

In short, this loophole could undermine the entire purpose of the proposed law and it must be closed. To do this successfully, legislators need to take steps to prioritize machine identities as a way to enhance AI governance, accountability, security and trust. Time is running out.

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AI has been very much top of the agenda this week. We've had President Biden's executive order on AI, we've had the AI Safety Summit in the UK, we've even had Collins Dictionary choosing AI as its word of the year (not to be confused with the three-toed sloth beloved of Scrabble players).

Today we also have new research from SnapLogic looking at how generative AI is being used, viewed, and adopted within large enterprises.

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ChatGPT For Dummies demystifies the artificial intelligence tool that can answer questions, write essays, and generate just about any kind of text it’s asked for.

This powerful example of generative AI is widely predicted to upend education and business. In this book, you’ll learn how ChatGPT works and how you can operate it in a way that yields satisfactory results.

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