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Cybersecurity Snapshot: As ChatGPT Fire Rages, NIST Issues AI Security Guidance

Tenable

1 - Amid ChatGPT furor, U.S. With its new “Artificial Intelligence Risk Management Framework,” NIST hopes to create awareness about AI products’ unique risks, such as their vulnerability to be unduly influenced and manipulated through tampering with the data their algorithms are trained on. And much more!

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Cybersecurity Snapshot: New Guide Details How To Use AI Securely, as CERT Honcho Tells CISOs To Sharpen AI Security Skills Pronto

Tenable

That’s the number one skill CISOs must acquire in 2024, according to Greg Touhill, Director of the CERT Division of Carnegie Mellon University’s Software Engineering Institute (SEI).

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From Hype to Hope: Key Lessons on AI in Security, Innersource, and the Evolving Threat Landscape

Coveros

No review of 2023 would be complete without mentioning the explosion of AI into the public eye, like ChatGPT and Copilot. However, social engineering is a common tactic, so it is advisable to continuously improve security awareness and education in an effort to decrease the effectiveness of social engineering attacks.

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ChatGPT for Developers: Key Use Cases in Software Development

Apiumhub

ChatGPT is a trendy topic in all industries, but today let’s discuss the top use cases of this AI tool for developers. OpenAI launched ChatGPT in November 2022, a chatbot with a significant language model. OpenAI launched ChatGPT in November 2022, a chatbot with a significant language model.

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Technology Trends for 2024

O'Reilly Media - Ideas

ChatGPT changed the industry, if not the world. That may or may not be advisable for career development, but it’s a reality that businesses built on training and learning have to acknowledge. And there was no generative AI, no ChatGPT, back in 2017 when the decline began. 2023 was one of those rare disruptive years.

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

Altexsoft

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. To reap accurate results, it’s advised to gather data on sales for at least two years. They won’t make accurate predictions if trained on small datasets.