Articles about Generative AI

As generative AI tools continue to expand, new doors are being opened for fraudsters to exploit weaknesses. Have you experimented with generative AI tools like ChatGPT yet? From beating writer’s block to composing ad copy, creating travel itineraries, and kickstarting code snippets, there’s something for everyone. Unfortunately, "everyone" includes criminals.

Cybercriminals are early adopters. If there’s a shiny new technology to try, you can bet that crooks will explore how to use it to commit crimes. The earlier they can exploit this technology, the better -- this will give them a head start on defenses being put in place to block their nefarious activities. If tech helps boost the scale or sophistication of criminal attacks, it’s extra attractive. It’s no wonder cybercriminals have been loving tools like ChatGPT.

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IT leaders are grappling with anxiety over the risks of generative AI despite continued confidence in their software-as-a-service (SaaS) security posture.

New data from Snow Software, which surveyed 1,000 IT leaders, finds 96 percent of respondents say they are still 'confident or very confident' in their organization's SaaS security measures, and yet, 'managing the security of SaaS applications' is the top challenge for IT leaders.

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A new study from Lucidworks shows that businesses across the board are planning to increase their investment in AI over the next year, with financial services companies among those leading the charge.

The survey of over 6,000 employees involved in AI technology decision-making finds 94 percent of financial services firms planning to boost generative AI investments within the year. However, the survey found differences depending on location. 100 percent of Chinese financial services employees and 97 percent of UK respondents surveyed say they plan to increase investment, compared to only 91 percent of US companies.

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New technologies will always receive encouragement and criticism from all sides, and artificial intelligence (AI) is no different. People have various opinions, but it’s here to stay and will continue to change how business is conducted.

Not too long ago, it was difficult for people to imagine how the internet and websites could impact their lives. Some dismissed it as a trend and saw little merit in its business applications. Now, companies need to amplify their online presence.

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Senior security professionals view generative AI as a disruptive cybersecurity threat, with 46 percent of respondents to a new survey believing generative AI will increase their organization's vulnerability to attacks.

The study from Deep Instinct shows the top three generative AI threat issues are seen as growing privacy concerns (39 percent), undetectable phishing attacks (37 percent) and an increase in the volume and velocity of attacks (33 percent).

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Many large enterprises still rely on mainframes, but the use of legacy technology can hold back modernization and digital transformation efforts.

To help organizations progress their modernization plans, IBM is launching watsonx Code Assistant for Z, a new generative AI-assisted product that will help enable faster translation of COBOL to Java on IBM Z systems and enhance developer productivity on the platform.

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Recent developments in generative AI have led to a good deal of debate around whether jobs are at risk. Since new AI applications like OpenAI Codex and Copilot can write code, developers could be among those under threat.

We spoke to Trisha Gee, lead developer evangelist at Gradle, to find out more about how AI is likely to change the way developers work.

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Generative AI is the big trending topic right now, and understandably is featuring prominently in the news. The popularity of platforms such as Open AI’s ChatGPT, which set a record for the fastest-growing user base by reaching 100 million monthly active users just two months after launching is unquestionably on the minds of businesses globally.

These tools can increase productivity and efficiency by automating repetitive tasks and letting employees focus on higher-value work. They can foster enhanced creativity and innovation by assisting in brainstorming and ideation processes and generating novel solutions to complex problems. Today, AI’s applications have already been well-documented in fields such as eCommerce, security, education, healthcare, agriculture, gaming, transport, and astronomy. The business, productivity, and efficiency gains that it provides these industries are enabling them to flourish and open up new revenue streams.

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A new study of 1,000 office workers across the US and UK shows half of us already use AI tools at work, one-third weekly and 12 percent daily.

But the report from Cybsafe finds 38 percent of users of generative AI in the US admit to sharing data they wouldn't casually reveal in a bar to a friend.

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We've already seen how generative AI can be used in cyberattacks but now it seems there's an AI model aimed just a cybercriminals.

Every hero has a nemesis and it looks like ChatGPT's could be FraudGPT. Research from security and operations analytics company Netenrich shows recent activities on the Dark Web Forum reveal evidence of the emergence of FraudGPT, which has been circulating on Telegram Channels since July 22nd.

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Artificial intelligence is finding its way into many areas of business. But its value depends on the quality of the training data and user prompts it receives.

Dynatrace is looking to address this with an update to its Davis AI engine that creates what it calls a 'hypermodal artificial intelligence', combining fact-based, predictive- and causal-AI insights with new generative-AI capabilities.

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Cloud security company Sysdig is launching a new generative AI assistant specifically designed to help with cloud security.

Whereas standard AI chatbots are designed to answer a specific question using a single large language model (LLM) and stateless analysis, Sysdig Sage uses a unique human-to-AI controller that mediates user interactions with LLMs to provide more advanced, tailored recommendations.

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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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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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