Articles about Artificial Intelligence

New research shows 52 percent of the top 100 AI open source projects on GitHub reference known vulnerable open source software packages.

The report from Endor Labs explores emerging trends that software organizations need to consider as part of their security strategy, and risks associated with the use of existing open source software (OSS) in application development.

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Artificial intelligence is generally only as good as the data that it's trained on. However, when data is collected and used in the training of machine learning models, the models inherit the bias of the people building them, producing unexpected and potentially harmful outcomes.

We spoke to Matthieu Jonglez, VP, technology at Progress, to discuss the company's recent research around this topic and what organizations can do to reduce bias.

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As Microsoft, like just about every other technology company, continues to embrace artificial intelligence, there is a lot of interest in the slew of AI-powered tools that are emerging. One of the most intrigue-inspiring tools is Microsoft Copilot.

We've already seen signs of this generative AI utility in the preview builds of Windows 11, and while there is a great deal of anticipation from home users, Microsoft is setting its sights on businesses and the enterprise. At its Inspire 2023 event, the company has revealed more about its plans, including details of pricing.

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Data is the lifeblood of artificial intelligence (AI), and the power that AI brings to the business world -- to unearth fresh insights, increase speed and efficiency, and multiply effectiveness -- flows from its ability to analyze and learn from data. The more data AI has to work with, the more reliable its results will be.

Feeding AI’s need for data means collecting it from a wide variety of sources, which has raised concerns about AI gathering, processing, and storing personal data. The fear is that the ocean of data flowing into AI engines is not properly safeguarded.

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In recent months, the buzz surrounding AI technology has grown rapidly, due in large part to the release -- and subsequent zeitgeist moment -- of ChatGPT. A chatbot fueled by language modeling AI technology that is free to the public, ChatGPT has been the subject of seemingly endless discourse regarding its implications since its launch last November.

This type of AI technology is convincing and well… intelligent. It’s almost like a contemporary iteration on the concept of a search engine -- you can type in a prompt, and within moments you’ll receive a well-articulated, seemingly accurate response pulling from sources all over the web.

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The use of artificial intelligence (AI) is transforming how tech assets are evaluated for mergers and acquisitions (M&A) through more efficient, accurate, and predictive analyses.

M&A involves complex activities across multiple phases, requiring cohesive cooperation within a competitive timeframe. However, technologies like AI and data analytics have emerged as crucial drivers for successful M&A transactions. As Kevin Knoepp, operating partner and CTO at Trilogy Search Partners, notes, these tools significantly accelerate each step of the M&A process.

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The latest 'In the Mind of a Hacker' report from Bugcrowd, which includes responses from 1,000 white hat hackers across 85 countries, finds 55 percent saying that generative AI can already outperform hackers or will be able to do so within the next five years.

But despite this, hackers aren't especially worried about being replaced, with 72 percent saying that generative AI will not be able to replicate the creativity of human hackers.

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There's been a lot of buzz around the use of generative AI recently, but businesses have sometimes struggled to find appropriate use cases for the technology.

Today IBM is rolling out its enterprise-ready AI and data platform, watsonx, which the company first previewed back in May of this year.

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AI has been in the news over the past several months, but not everyone is welcoming it excitedly. Many renowned tech personalities have expressed their concerns over the risks associated with it and there are valid fears about artificial intelligence doing more harm than good. For example, there have been reports of AI helping cybercriminals produce less detectable malware.

It is reassuring to know that cybersecurity is among the early adopters in harnessing the benefits of artificial intelligence. Cybersecurity firms have been developing ways to integrate AI into their detection, mitigation, and prevention capabilities. Next gen security information and event management (SIEM), in particular, is gaining traction as organizations try to keep up with the growing aggressiveness and complexity of cyber threats.

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Artificial intelligence isn't all that new, but recently the availability of tools like ChatGPT has catapulted it into the public consciousness. When it comes to introducing AI in the workplace though it's inevitable that some people will perceive it as a threat.

We talked to Khadim Batti, Whatfix CEO and co-founder, to discover how enterprise leaders can prepare their workforces for AI and overcome the challenges that it presents.

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Back in May, at its Build developer conference, Microsoft announced a new Copilot feature which is designed to bring the power of AI to Windows 11.

At the time, the company said that the feature would be made available in preview form in June, and today it finally arrives for Windows Insiders in the Dev Channel. To try it out, you will need to be running Build 23493 and Microsoft Edge version 115.0.1901.150 or higher.

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Poor data controls and the advent of new generative AI tools based on Large Language Models (LLMs) will lead to a spike in insider data breaches over the coming year, says cybersecurity company Imperva.

As LLM-powered chatbots have become more powerful, many organizations have implemented complete bans or restricted what data can be shared with them. However, since an overwhelming majority (82 percent) have no insider risk management strategy in place, they remain blind to instances of employees using generative AI to help them with tasks.

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Cybercriminals are using AI-created malware that is adept at avoiding detection by traditional antivirus models, according to the latest report from Acronis.

The report also finds email attacks and ransomware cases have exploded relative to last year. Acronis-monitored endpoints are picking up valuable data about how cybercriminals operate and how some attacks have become more intelligent, sophisticated, and difficult to detect.

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Cloud storage provider Dropbox is launching two new AI-powered productivity tools -- though they're not available to everyone just yet.

Dropbox Dash is a universal search that connects all of your tools, content, and apps in a single search bar to help you easily find what you need. There's also Dropbox AI, a new feature that lets customers quickly summarize and get information from their Dropbox files.

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As generative AI tools continue to make the news there are growing concerns over safety and security as well as the accuracy of information produced.

Most people don't trust ChatGPT and have worries about its security and safety according to a new survey from Malwarebytes. The research shows that 81 percent are concerned about security and safety risks.

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