The Cybersecurity Survival Guide For Generative AI

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The Cybersecurity Survival Guide For Generative AI
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Will Sweeney is the Founder and Managing Partner of Zaviant, a data security and privacy consulting firm based in Philadelphia. Read Will Sweeney's full executive profile here.

Over time, artificial intelligence will likely prove to be one of the most monumental advancements in human history. Although there has been no shortage of news or opinion surrounding this topic in recent years, many business leaders remain underinformed about how the proliferation of AI technologies may affect their organization's data security and privacy posture. With the rise of generative AI, now is an important time to get up to speed.

These platforms work by employing a combination of advanced technologies like machine learning, behavioral analysis and threat intelligence to detect, prevent and respond to various forms of cyber threats in real time. While these products aren't a silver bullet, they can—in conjunction with other measures—help prevent breaches from occurring. cause data breaches, and the rise of generative AI is only exacerbating this issue.

From an external perspective, generative AI has made phishing scams harder to recognize, increasing the likelihood of a data breach. With proper education and training, however, employees can learn to better recognize and report malicious activity before it's too late.

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