Articles about Artificial Intelligence

As artificial intelligence (AI) continues to advance, its impact on cybersecurity grows more significant. AI is an incredibly powerful tool in the hands of both cyber attackers and defenders, playing a pivotal role in the evolving landscape of digital threats and security defense mechanisms. The technology has seen use both by attackers to conduct cyber attacks, and defenders to deter and counter threats.

The incorporation of AI into malicious social engineering campaigns creates a new era where cyber threat actors are more convincingly deceptive. With access to a vast amount of data, cyber threat actors can both increase the success and effectiveness of large-scale phishing campaigns, or use this access to huge amounts of data to spread disinformation online.

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At its WWDC yesterday, Apple unveiled its first major foray into modern artificial intelligence, or "Apple Intelligence" as it prefers to call it.

The company may have been slow to adopt the technology, but it’s now going all-in. Apple Intelligence will be baked into the upcoming iOS 18, iPadOS 18, and macOS Sequoia, offering new writing tools for rewriting, proofreading, and summarizing text across apps, Genmoji for personalized emojis, and a significantly improved Siri.

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For all of the excitement currently surrounding artificial intelligence, there are also a lot of concerns. Not only are people worried about the power of AIs, but there is also a great deal of apprehension about the privacy and security of ChatGPT and other tools of its ilk.

Stepping up with a solution is privacy-centric firm DuckDuckGo. With the newly launched DuckDuckGo AI Chat, it offers "anonymous access to popular AI models, including GPT-3.5, Claude 3, and open-source Llama 3 and Mixtral". There is also the promise that chats will not be used to train AI models.

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The field of AI has been around for decades, but its current surge is rewriting the rules at an accelerated rate. Fueled by increased computational power and data availability, this AI boom brings with it opportunities and challenges.

AI tools fuel innovation and growth by enabling businesses to analyze data, improve customer experiences, automate processes, and innovate products -- at speed. Yet, as AI becomes more commonplace, concerns about misinformation and misuse arise. With businesses relying more on AI, the risk of unintentional data leaks by employees also goes up. For many though, the benefits outweigh any risks. So, how can companies empower employees to harness the power of AI without risking data security?

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Last year was an AI milestone marked by enthusiasm, optimism, and caution. AI-powered productivity tools promise to boost productivity by automating repetitive coding and tedious tasks and generating code.  A year later, organizations are struggling to quantify the impact of their AI initiatives and are reevaluating metrics to ensure they reflect the desired business outcomes.

Measuring developer productivity has historically been a challenge, with or without the introduction of AI-powered developer tools. Last year, McKinsey & Company described developer productivity measurement as a “black box,” noting that in software development, “the link between inputs and outputs is considerably less clear” than other functions.

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It was surely only a matter of time before AI made its way to the Raspberry Pi and today sees the launch of the  Raspberry Pi AI Kit. Developed in close collaboration with Hailo, it provides a way of seamlessly integrating local, high-performance, power-efficient inferencing into a number of applications.

The Raspberry Pi AI Kit comprises the M.2 HAT+ preassembled with a Hailo-8L AI accelerator module. Installed on a Raspberry Pi 5, the AI Kit allows users to build AI vision applications, running in real time, with low latency and low power requirements.

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Enterprises plan to spend roughly $35.5 million on IT modernization in 2024, with over a third going to AI to boost productivity. But it’s not all sunshine and rainbows. At the same time, 64 percent of IT leaders worry about rushing to adopt generative AI without understanding what's needed to use it effectively and safely. And while 75 percent of organizations have experimented with generative AI, only 9 percent have adopted the technology widely. There’s so much more potential to tap into.

To get the best out of AI to supercharge operations it all comes down to intelligence. Afterall, AI is only as intelligent as those using it. There are the four types of intelligence that CTOs need to build, and it’s nothing to do with coding or super complicated technology. It’s about cultivating soft skills and human talent to control AI in a responsible way.

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Artificial Intelligence is dramatically transforming the business landscape. It streamlines operations, provides critical insights, and empowers businesses to make data-driven decisions efficiently. Through machine learning, predictive analytics, and automation, AI assists in identifying trends, forecasting sales, and streamlining supply chains, leading to increased productivity and improved business outcomes. It isn't, unfortunately, without problems.

We talked to Matt Hillary, Vice President of Security and CISO at Drata, about the issues surrounding AI when it comes to critical security and compliance.

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The path to widespread AI is a bumpy one. While its potential to enhance consumer experiences and streamline business operations through personalization, autonomy, and decentralized reasoning is evident, the technology comes with inherent risks.

AI can produce conclusions that aren’t true, spread misinformation and in some cases, perpetuate existing biases. This -- the darker side of AI’s impact -- can leave business leaders facing financial, legal, and reputational damage.

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AI is one of the most powerful innovations of the decade, if not the most powerful. Yet with that power also comes the risk of abuse.

Whenever any new, disruptive technology is introduced to society, if there is a way for it to be abused for the nefarious gain of others, wrongdoers will find it. Thus, the threat of AI is not inherent to the technology itself, but rather an unintended consequence of bad actors using it for purposes that wreak havoc and cause harm. If we do not do something about these cyber threats posed by the misuse of AI, the legitimate, beneficial uses of the technology will be undermined.

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The secret to generative AI’s success is data. Vast volumes of data that are used to train the large language models (LLMs) that underpin generative AI’s ability to answer complex questions and find and create new content. Good quality data leads to good outcomes. Bad, deliberately poisoned, or otherwise distorted data leads to bad outcomes.

As ever more organizations implement generative AI tools into their business systems, it’s important to reflect on what attackers can do to the data on which generative AI tools are trained.

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With the arrival of Large Language Models (LLMs) such as ChatGPT, BERT, Llama, and Granite, the operational dynamics within the enterprise sector have significantly changed. LLMs introduce unique efficiencies, paving the way for innovative business solutions. LLMs currently stand at the forefront of technological advancement, offering enterprises the tools to automate complex processes, enhance customer experiences, and obtain actionable insights from large datasets.

The integration of these models into business operations marks a new chapter in digital transformation and therefore requires a closer look at their development and deployment.

The lifecycle of LLMs and the role of APIs

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Hitting a new release cycle, Microsoft has unleashed PowerToys v0.81.0 complete with a brand-new module. With the arrival of the Advanced Paste utility, users gain access to a AI-powered clipboard that makes it possible to paste copied text in any format needed.

It is possible to use a range of keyboard shortcuts to paste text as plain text, markdown, or JSON, but there are plenty more features baked into Advanced Paste. Harnessing AI, the module can use natural language descriptions to explain what you want to do to the copied text. There are also plenty more changes and additions.

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Traditionally the legal sector has lagged behind other industries when it comes to embracing new technologies. However, generative AI is proving to be the exception to the rule. Its potential to transform the profession, driving lawyers and firms to unlock new levels of productivity and efficiency, is too great to be ignored.

Growing numbers of law firms are putting their money where their mouths are, with global spending on legal AI software tools at already over $1 billion and projected to increase by almost 20 percent (CAGR) every year across the rest of the decade, reaching an estimated $37bn by the end of 2024. There’s a huge societal and industry shift underway; lawyers and law firms must act now, or risk being left behind.

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In the current era of digitalization, cybersecurity has become a topmost priority for businesses, regardless of their size and nature. With the growing dependence on digital infrastructure and data, safeguarding against cyber threats has become crucial to ensure uninterrupted business operations. However, the evolving nature of cyberattacks poses significant challenges for traditional security measures.

This is where Artificial Intelligence (AI) emerges as a game-changer, offering substantial benefits and inherent risks in cybersecurity.

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