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Dulling the impact of AI-fueled cyber threats with AI

CIO

Take for instance large language models (LLMs) for GenAI. While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses. Artificial Intelligence: A turning point in cybersecurity The cyber risks introduced by AI, however, are more than just GenAI-based.

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Applications of Artificial Intelligence (AI) in business

Hacker Earth Developers Blog

Businesses that use Artificial Intelligence (AI) and related technology to reveal new insights “will steal $1.2 Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data. The post Applications of Artificial Intelligence (AI) in business appeared first on HackerEarth Blog.

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Artificial Intelligence — Beyond the Algorithms

Palo Alto Networks

He sits down with Yoni Allon, VP Research, to discuss how Palo Alto Networks leverages artificial intelligence (AI) to enhance cybersecurity in our SOC. Lastly, the interview touches on the evolving landscape of AI, particularly large language models (LLMs). It’s a brave, new world, but in a good way.

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AI in the Enterprise: 5 key findings of AI usage and threat trends

CIO

Artificial intelligence (AI) has rapidly shifted from buzz to business necessity over the past yearsomething Zscaler has seen firsthand while pioneering AI-powered solutions and tracking enterprise AI/ML activity in the worlds largest security cloud.

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Cybersecurity Snapshot: AI Security Roundup: Best Practices, Research and Insights

Tenable

AI-powered systems continuously refine their algorithms as new malware strains and attack techniques emerge, learning from each event and integrating new insights into their threat detection mechanisms. One of AI's significant advantages in threat detection is its ability to be proactive.

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AI and automation will play an increasing role in technology

CIO

It is clear that artificial intelligence, machine learning, and automation have been growing exponentially in use—across almost everything from smart consumer devices to robotics to cybersecurity to semiconductors. Going forward, we’ll see an expansion of artificial intelligence in creating.

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5 Machine Learning Models Every Data Scientist Should Know

The Crazy Programmer

Whether you’re aware of it or not, you’re surely using artificial intelligence (AI) on a daily basis. From Google and Spotify to Siri and Facebook, all of them use Machine Learning (ML), one of AI’s subsets. Unsupervised machine learning , on their part, is a more exploratory approach to data analysis.