The conversation around AI in the workplace often generates fear. In fact, 65% of IT workers cite the rise of generative AI as a direct threat to their job security.
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Artificial Intelligence and Cybersecurity
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A key resource on artificial intelligence and cyber security, exploring how AI could transform the way digital assets can be better protected, as well as the emerging threats AI could bring and what they mean for our digital future
Curated by
JC Gaillard
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From
corixpartners
Hype and FOMO around generative AI are hijacking crucial discussions around cybersecurity in many firms between CISOs and senior execs 
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From
www
GenAI is evolving rapidly, and codifying internal governance allows your security teams to stay two steps ahead, making the use of GenAI consistent across the business, and identifying risk ahead of time.
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The survey of global CEOs from PwC brings to light what global executives aim to achieve with generative AI in the near and long term.
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A software engineer implemented generative AI cybersecurity and shared the pros and cons of integrating LLMs into your cybersecurity product.
Samantha Alanís's curator insight,
February 3, 11:55 PM
"When it comes to computer programs, we have a good understanding of what’s possible and what’s not. We’re already quite good at taking computational tasks and classifying them by how difficult they are. But for some problems there will never be an algo that can solve the problem." !!!!
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Telling AI about your cybersecurity issue and asking for a solution can result in the AI telling someone else about your problem. It might take a while to implement a solution, and until then, the AI will “chat” about your issue with everyone who asks for it.
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From
www
AI is ushering in a multitude of opportunities for businesses, but keeping AI on track demands significant work.
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From
www
While businesses shouldn’t shy away from using generative AI in operations, it’s important to implement it with security top of mind.
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From
www
Recent technological advances in hardware-based cybersecurity enable an “oversight system” to monitor and guarantee the integrity of incoming data and the confidentiality of outgoing data.
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Organizations must consider the security implications of using ChatGPT, as well as large language model (LLM) and LLM-based apps.
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Including security concerns at the beginning of any generative AI adoption discussion is key, but meanwhile the good news is cybersecurity budgets for AI are rising.
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Artificial intelligence tools are helping companies improve cybersecurity, but hackers launching ransomware and phishing attacks have the same weapons.
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