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AI, Automation, and Cybersecurity
The fast emergence of generative AI Is accelerating timelines for widespread implementation. As AI continues to inspire both wonder and unease, it raises the question: Is AI an existential threat or transformative revolution? The white paper, "AI, Automation, and Cybersecurity," examines this question while dispelling myths and exploring opportunities around AI with an emphasis on generative AI. Download your complimentary copy of the white paper for insight on the aspects of AI that are most relevant to your organization and its implications for cybersecurity, privacy, IP and copyright requirements. Contact us to discuss how Derive Technologies can help you address the generative AI trends and implications explored in this white paper with strategies and solutions from Symantec.
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AI, or artificial intelligence, is defined as the science and engineering of making intelligent machines. It operates using techniques like neural networks and deep learning, which allow it to process data similarly to the human brain. Generative AI, a subset of AI, generates new data based on patterns learned from existing datasets. This means it can create text, images, and more by learning from vast amounts of information.
How does AI impact cybersecurity?
AI has a dual impact on cybersecurity. On one hand, it can be used by cybercriminals to enhance the volume and frequency of attacks, such as creating more sophisticated phishing emails. On the other hand, it also provides cybersecurity professionals with tools to better defend against these threats. For instance, AI can help security teams optimize their response to potential threats and improve their overall defense strategies.
What are the risks associated with generative AI?
Organizations need to be cautious about several risks when using generative AI. One major concern is data privacy; employees might inadvertently share sensitive information with AI tools, which could then be accessible to others. Additionally, there are intellectual property issues to consider, as the content generated by AI may not be entirely original and could infringe on existing copyrights. Companies must ensure they understand the origins of the AI-generated content to avoid potential legal complications.
AI, Automation, and Cybersecurity
published by Derive Technologies
Derive Technologies, was founded in 2000 through the combination of two long-standing technology firms dating back as far as 1986; and incorporated as “Derive Technologies” in the beginning of 2001. Derive's team -- all of them already long-time collaborators at the time of the company's official founding -- continue to design and deliver progressive business-technology solutions that meet the challenges of New York Metro Area, national, and global enterprises, with a focus on on-going cost reduction. Starting as a local system integrator, Derive grew to become a value-added enterprise reseller (VAR), and, now, a recognized national and international IT business consultancy.
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